review article | Q7318358 |
scholarly article | Q13442814 |
P8978 | DBLP publication ID | journals/nature/LeCunBH15 |
P6179 | Dimensions Publication ID | 1010020120 |
P356 | DOI | 10.1038/NATURE14539 |
P4028 | Google Scholar paper ID | 5362332738201102290 |
P3181 | OpenCitations bibliographic resource ID | 469969 |
P698 | PubMed publication ID | 26017442 |
P5875 | ResearchGate publication ID | 277411157 |
P50 | author | Geoffrey Hinton | Q92894 |
Yoshua Bengio | Q3572699 | ||
Yann LeCun | Q3571662 | ||
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P433 | issue | 7553 | |
P407 | language of work or name | English | Q1860 |
P921 | main subject | deep learning | Q197536 |
P304 | page(s) | 436–444 | |
P577 | publication date | 2015-05-28 | |
P1433 | published in | Nature | Q180445 |
P1476 | title | Deep learning | |
P478 | volume | 521 |
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Q91788852 | Adversarial Deep Learning in EEG Biometrics |
Q90309589 | Adversarial learning for mono- or multi-modal registration |
Q26749464 | Aerodynamics, sensing and control of insect-scale flapping-wing flight |
Q50422224 | Agile convolutional neural network for pulmonary nodule classification using CT images. |
Q90574727 | Airborne Visual Detection and Tracking of Cooperative UAVs Exploiting Deep Learning |
Q90344568 | Algorithm for Training Neural Networks on Resistive Device Arrays |
Q98178435 | Allosteric Regulation at the Crossroads of New Technologies: Multiscale Modeling, Networks, and Machine Learning |
Q93089307 | An Ad Hoc Random Initialization Deep Neural Network Architecture for Discriminating Malignant Breast Cancer Lesions in Mammographic Images |
Q30360931 | An Adaptive Multi-Sensor Data Fusion Method Based on Deep Convolutional Neural Networks for Fault Diagnosis of Planetary Gearbox |
Q57592542 | An Algorithm Based on Deep Learning for Predicting In-Hospital Cardiac Arrest |
Q92491443 | An Amazon stingless bee foraging activity predicted using recurrent artificial neural networks and attribute selection |
Q92730466 | An Analysis of the Interaction Between Intelligent Software Agents and Human Users |
Q61450839 | An Appraisal of Lung Nodules Automatic Classification Algorithms for CT Images |
Q58702662 | An Artificial Neural Network Model for Predicting Successful Extubation in Intensive Care Units |
Q92661778 | An Autonomous Path Planning Model for Unmanned Ships Based on Deep Reinforcement Learning |
Q91648148 | An EM-based semi-supervised deep learning approach for semantic segmentation of histopathological images from radical prostatectomies |
Q112283670 | An Effective and Lightweight Deep Electrocardiography Arrhythmia Recognition Model Using Novel Special and Native Structural Regularization Techniques on Cardiac Signal |
Q92556624 | An Embodied Agent Learning Affordances With Intrinsic Motivations and Solving Extrinsic Tasks With Attention and One-Step Planning |
Q90021250 | An End-to-End Image-Based Automatic Food Energy Estimation Technique Based on Learned Energy Distribution Images: Protocol and Methodology |
Q58713083 | An Enhanced Region Proposal Network for object detection using deep learning method |
Q38681912 | An Event-Driven Classifier for Spiking Neural Networks Fed with Synthetic or Dynamic Vision Sensor Data. |
Q102634507 | An Explainable AI-Based Computer Aided Detection System for Diabetic Retinopathy Using Retinal Fundus Images |
Q60920230 | An Improved YOLOv2 for Vehicle Detection |
Q62490979 | An Intelligent Driver Training System Based on Real Cars |
Q94479013 | An Open-Source Computer Vision Tool for Automated Vocal Fold Tracking From Videoendoscopy |
Q31153156 | An Overview of data science uses in bioimage informatics |
Q59286727 | An Overview on Evaluating and Predicting Scholarly Article Impact |
Q100761828 | An all-photonic focal-plane wavefront sensor |
Q41348108 | An analysis of the influence of deep neural network (DNN) topology in bottleneck feature based language recognition |
Q62863182 | An attention based deep learning model of clinical events in the intensive care unit |
Q42374108 | An attention-based effective neural model for drug-drug interactions extraction |
Q92578819 | An augmented reality microscope with real-time artificial intelligence integration for cancer diagnosis |
Q52625397 | An end-to-end framework for real-time automatic sleep stage classification. |
Q52631746 | An ensemble learning system for a 4-way classification of Alzheimer's disease and mild cognitive impairment. |
Q47563167 | An equation-of-state-meter of quantum chromodynamics transition from deep learning |
Q64060985 | An experimental assay of the interactions of amino acids from orthologous sequences shaping a complex fitness landscape |
Q55412932 | An explainable deep machine vision framework for plant stress phenotyping. |
Q62632969 | An explainable deep-learning algorithm for the detection of acute intracranial haemorrhage from small datasets |
Q64140565 | An exploration strategy improves the diversity of de novo ligands using deep reinforcement learning: a case for the adenosine A2A receptor |
Q92860803 | An image-based deep learning framework for individualizing radiotherapy dose |
Q53861069 | An improved advertising CTR prediction approach based on the fuzzy deep neural network. |
Q52560106 | An improved deep learning approach for detection of thyroid papillary cancer in ultrasound images. |
Q98171985 | An integrated approach based on virtual data augmentation and deep neural networks modeling for VFA production prediction in anaerobic fermentation process |
Q92671945 | An integrated iterative annotation technique for easing neural network training in medical image analysis |
Q98237892 | An intelligent platform for ultrasound diagnosis of thyroid nodules |
Q42696825 | An introduction to Deep learning on biological sequence data - Examples and solutions |
Q90552227 | An overview of deep learning in medical imaging focusing on MRI |
Q90014669 | An ultra-compact particle size analyser using a CMOS image sensor and machine learning |
Q100560162 | An unexpectedly large count of trees in the West African Sahara and Sahel |
Q97884475 | Analog Forecasting of Extreme-Causing Weather Patterns Using Deep Learning |
Q47150392 | Analogue signal and image processing with large memristor crossbars |
Q64241187 | Analysis of Structure and Dynamics in Three-Neuron Motifs |
Q30253075 | Analysis of live cell images: Methods, tools and opportunities |
Q37710893 | Analysis of spatial heterogeneity in normal epithelium and preneoplastic alterations in mouse prostate tumor models. |
Q91526925 | Analysis of the Human Protein Atlas Image Classification competition |
Q92534858 | Analyzing Neuroimaging Data Through Recurrent Deep Learning Models |
Q58083944 | Analyzing complex single-molecule emission patterns with deep learning |
Q50418375 | Anatomy-guided joint tissue segmentation and topological correction for 6-month infant brain MRI with risk of autism. |
Q59136845 | Annotation of enhanced radiographs for medical image retrieval with deep convolutional neural networks |
Q36149520 | Antibody-supervised deep learning for quantification of tumor-infiltrating immune cells in hematoxylin and eosin stained breast cancer samples |
Q47220965 | Antigen Identification for Orphan T Cell Receptors Expressed on Tumor-Infiltrating Lymphocytes. |
Q92212109 | Antimicrobial peptide identification using multi-scale convolutional network |
Q91942542 | Application and Comparison of Supervised Learning Strategies to Classify Polarity of Epithelial Cell Spheroids in 3D Culture |
Q92752506 | Application of Artificial Intelligence in the Detection and Differentiation of Colon Polyps: A Technical Review for Physicians |
Q94467567 | Application of Convolutional Neural Networks for Detection of Superficial Nonampullary Duodenal Epithelial Tumors in Esophagogastroduodenoscopic Images |
Q47115926 | Application of Convolutional Neural Networks in the Diagnosis of Helicobacter pylori Infection Based on Endoscopic Images |
Q52593677 | Application of Deep Learning Architectures for Accurate and Rapid Detection of Internal Mechanical Damage of Blueberry Using Hyperspectral Transmittance Data. |
Q92942890 | Application of Deep Learning Convolutional Neural Networks for Internal Tablet Defect Detection: High Accuracy, Throughput, and Adaptability |
Q99578984 | Application of Deep Learning for Early Screening of Colorectal Precancerous Lesions under White Light Endoscopy |
Q45944076 | Application of Deep Learning in Automated Analysis of Molecular Images in Cancer: A Survey. |
Q91688172 | Application of Deep Learning in Neuroradiology: Brain Haemorrhage Classification Using Transfer Learning |
Q89668174 | Application of Twitter and web news mining in infectious disease surveillance systems and prospects for public health |
Q91844650 | Application of Vibrational Spectroscopy and Imaging to Point-of-Care Medicine: A Review |
Q92130563 | Application of a convolutional neural network for predicting the occurrence of ventricular tachyarrhythmia using heart rate variability features |
Q92774412 | Application of a deep learning algorithm for detection and visualization of hip fractures on plain pelvic radiographs |
Q91388567 | Application of convolutional neural networks to breast biopsies to delineate tissue correlates of mammographic breast density |
Q90913966 | Application of deep convolutional neural networks in classification of protein subcellular localization with microscopy images |
Q94495707 | Application of deep learning object classifier to improve e-waste collection planning |
Q93167143 | Application of machine learning in ophthalmic imaging modalities |
Q62491891 | Application of machine learning in rheumatic disease research |
Q26752791 | Applications in image-based profiling of perturbations |
Q62492117 | Applications of Artificial Intelligence in Ophthalmology: General Overview |
Q90269455 | Applications of Deep Learning for Dense Scenes Analysis in Agriculture: A Review |
Q61775972 | Applications of Deep Learning to Ocean Data Inference and Subgrid Parameterization |
Q90294432 | Applications of Machine Learning Approaches in Emergency Medicine; a Review Article |
Q45943315 | Applications of deep convolutional neural networks to digitized natural history collections. |
Q99579727 | Applications of deep convolutional neural networks to predict length, circumference, and weight from mostly dewatered images of fish |
Q101218050 | Applications of machine learning in acute care research |
Q63979755 | Applications of machine learning in drug discovery and development. |
Q97569125 | Applications of machine learning to diagnosis and treatment of neurodegenerative diseases |
Q91724245 | Applications, promises, and pitfalls of deep learning for fluorescence image reconstruction |
Q91976103 | Applied machine learning and artificial intelligence in rheumatology |
Q58553582 | Applying Big Data Methods to Understanding Human Behavior and Health |
Q48498919 | Applying Data-driven Imaging Biomarker in Mammography for Breast Cancer Screening: Preliminary Study. |
Q94102692 | Applying Deep Learning to Understand Predictors of Tooth Mobility Among Urban Latinos |
Q91717377 | Applying Deep Neural Network Analysis to High-Content Image-Based Assays |
Q57284580 | Applying Densely Connected Convolutional Neural Networks for Staging Osteoarthritis Severity from Plain Radiographs |
Q119415188 | Applying automated object detection in archaeological practice: A case study from the southern Netherlands |
Q63951530 | Applying big data beyond small problems in climate research |
Q90170823 | Applying deep learning to single-trial EEG data provides evidence for complementary theories on action control |
Q91528852 | Approaching coupled cluster accuracy with a general-purpose neural network potential through transfer learning |
Q93150613 | Approaching neural net feature interpretation using stacked autoencoders: gene expression profiling of systemic lupus erythematosus patients |
Q60698635 | Approximate Bayesian computation with deep learning supports a third archaic introgression in Asia and Oceania |
Q60936525 | Approximate Bayesian neural networks in genomic prediction |
Q55057195 | Aquatic Toxic Analysis by Monitoring Fish Behavior Using Computer Vision: A Recent Progress. |
Q62489706 | Architectures and accuracy of artificial neural network for disease classification from omics data |
Q57164480 | Are computational applications the "crystal ball" in the IVF laboratory? The evolution from mathematics to artificial intelligence |
Q57977915 | Argument Mining: A Machine Learning Perspective |
Q57977906 | Argumentation Mining |
Q50426486 | Artificial Intelligence and Chest Imaging. Will Deep Learning Make Us Smarter? |
Q111440867 | Artificial Intelligence and Early Detection of Pancreatic Cancer |
Q61811911 | Artificial Intelligence and Integrated Genotype⁻Phenotype Identification |
Q89577335 | Artificial Intelligence and Orthopaedics: An Introduction for Clinicians |
Q89671103 | Artificial Intelligence for MR Image Reconstruction: An Overview for Clinicians |
Q90252875 | Artificial Intelligence for Mammography and Digital Breast Tomosynthesis: Current Concepts and Future Perspectives |
Q90074547 | Artificial Intelligence in Acute Kidney Injury Risk Prediction |
Q92656083 | Artificial Intelligence in Anesthesiology: Current Techniques, Clinical Applications, and Limitations |
Q92664319 | Artificial Intelligence in Clinical Decision Support: a Focused Literature Survey |
Q64072660 | Artificial Intelligence in Clinical Health Care Applications: Viewpoint |
Q91604542 | Artificial Intelligence in Gastrointestinal Endoscopy |
Q92539984 | Artificial Intelligence in Musculoskeletal Imaging: Current Status and Future Directions |
Q61454156 | Artificial Intelligence in Pathology |
Q57214356 | Artificial Intelligence in Public Health and Epidemiology |
Q93176419 | Artificial Intelligence in Radiotherapy Treatment Planning: Present and Future |
Q93048425 | Artificial Intelligence in the Management of Glioma: Era of Personalized Medicine |
Q90279687 | Artificial Intelligence in the Management of Intracranial Aneurysms: Current Status and Future Perspectives |
Q99578706 | Artificial Intelligence, Machine Learning, and Cardiovascular Disease |
Q92877426 | Artificial Intelligence: Practical Primer for Clinical Research in Cardiovascular Disease |
Q64958944 | Artificial Neural Network Enhanced Bayesian PET Image Reconstruction. |
Q92276786 | Artificial Neural Network Individualised Prediction of Time to Colorectal Cancer Surgery |
Q64951985 | Artificial Neural Network for Response Inference of a Nonvolatile Resistance-Switch Array. |
Q92258311 | Artificial Neural Network with Composite Architectures for Prediction of Local Control in Radiotherapy |
Q102379332 | Artificial intelligence algorithm for detecting myocardial infarction using six-lead electrocardiography |
Q91709787 | Artificial intelligence algorithm for predicting mortality of patients with acute heart failure |
Q90049819 | Artificial intelligence algorithm to predict the need for critical care in prehospital emergency medical services |
Q58553410 | Artificial intelligence and deep learning in ophthalmology |
Q99240886 | Artificial intelligence and deep learning in ophthalmology - present and future (Review) |
Q92970300 | Artificial intelligence and machine learning in spine research |
Q96584151 | Artificial intelligence and mechanistic modeling for clinical decision making in oncology |
Q57169245 | Artificial intelligence as a medical device in radiology: ethical and regulatory issues in Europe and the United States |
Q46955701 | Artificial intelligence for analyzing orthopedic trauma radiographs |
Q93190300 | Artificial intelligence for art investigation: Meeting the challenge of separating x-ray images of the Ghent Altarpiece |
Q93134057 | Artificial intelligence for diabetic retinopathy screening: a review |
Q111508076 | Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge |
Q56815111 | Artificial intelligence for fault diagnosis of rotating machinery: A review |
Q62489814 | Artificial intelligence for precision oncology: beyond patient stratification |
Q102152261 | Artificial intelligence for the detection of vertebral fractures on plain spinal radiography |
Q114917352 | Artificial intelligence framework for modeling and predicting crop yield to enhance food security in Saudi Arabia |
Q100304963 | Artificial intelligence in COVID-19 drug repurposing |
Q62490912 | Artificial intelligence in cancer imaging: Clinical challenges and applications |
Q92696252 | Artificial intelligence in dermatology: past, present, and future |
Q92535174 | Artificial intelligence in digital pathology - new tools for diagnosis and precision oncology |
Q104472751 | Artificial intelligence in gastrointestinal endoscopy |
Q91875344 | Artificial intelligence in health care: accountability and safety |
Q62496432 | Artificial intelligence in health care: enabling informed care |
Q90254268 | Artificial intelligence in healthcare |
Q61796244 | Artificial intelligence in medical imaging of the liver |
Q57791399 | Artificial intelligence in medical imaging: threat or opportunity? Radiologists again at the forefront of innovation in medicine |
Q62490464 | Artificial intelligence in neuropathology: deep learning-based assessment of tauopathy |
Q90059060 | Artificial intelligence in oncology |
Q57248306 | Artificial intelligence in radiology |
Q93003560 | Artificial intelligence in reproductive medicine |
Q62493715 | Artificial intelligence in the lab: ask not what your computer can do for you |
Q91869045 | Artificial intelligence powers digital medicine |
Q96434188 | Artificial intelligence system for detecting superficial laryngopharyngeal cancer with high efficiency of deep learning |
Q90659911 | Artificial intelligence versus clinicians: systematic review of design, reporting standards, and claims of deep learning studies |
Q90415776 | Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine |
Q58550074 | Artificial intelligence, machine learning and health systems |
Q89665433 | Artificial intelligence, machine learning, computer-aided diagnosis, and radiomics: advances in imaging towards to precision medicine |
Q104485890 | Artificial intelligence, the internet of things, and virtual clinics: ophthalmology at the digital translation forefront |
Q34542404 | Artificial intelligence: Deep neural reasoning |
Q47296056 | Artificial neural networks for stiffness estimation in magnetic resonance elastography |
Q98245623 | Artificial van der Waals hybrid synapse and its application to acoustic pattern recognition |
Q60960500 | Assessing the Role of Artificial Intelligence (AI) in Clinical Oncology: Utility of Machine Learning in Radiotherapy Target Volume Delineation |
Q90516508 | Assessing the accuracy of contact predictions in CASP13 |
Q38599752 | Assessing the population coverage of a health demographic surveillance system using satellite imagery and crowd-sourcing. |
Q57459974 | Assessing the severity of positive valence symptoms in initial psychiatric evaluation records: Should we use convolutional neural networks? |
Q64121404 | Assessment of Convolutional Neural Networks for Automated Classification of Chest Radiographs |
Q92748241 | Assessment of Machine Learning Detection of Environmental Enteropathy and Celiac Disease in Children |
Q92727485 | Assessment of a Machine Learning Model Applied to Harmonized Electronic Health Record Data for the Prediction of Incident Atrial Fibrillation |
Q89705823 | Assessment of knee pain from MR imaging using a convolutional Siamese network |
Q88724060 | Assessment of the generalization of learned image reconstruction and the potential for transfer learning |
Q91683584 | Assessment of the response of hepatocellular carcinoma to interventional radiology treatments |
Q55332093 | Association of Pathological Fibrosis With Renal Survival Using Deep Neural Networks. |
Q64257570 | Asymmetrical Training Scheme of Binary-Memristor-Crossbar-Based Neural Networks for Energy-Efficient Edge-Computing Nanoscale Systems |
Q97691048 | Attention-Enriched Deep Learning Model for Breast Tumor Segmentation in Ultrasound Images |
Q64057351 | Attention: The Messy Reality |
Q53282263 | Attentional Bias in Human Category Learning: The Case of Deep Learning. |
Q89856246 | Augmented patient-specific functional medical imaging by implicit manifold learning |
Q98464853 | AutoPath: Image-Specific Inference for 3D Segmentation |
Q38912072 | AutoRoot: open-source software employing a novel image analysis approach to support fully-automated plant phenotyping |
Q41528825 | Automated Classification of Lung Cancer Types from Cytological Images Using Deep Convolutional Neural Networks |
Q61808435 | Automated Classification of Pulmonary Nodules through a Retrospective Analysis of Conventional CT and Two-phase PET Images in Patients Undergoing Biopsy |
Q93081364 | Automated Counting of Cancer Cells by Ensembling Deep Features |
Q55083039 | Automated Deep Learning-Based System to Identify Endothelial Cells Derived from Induced Pluripotent Stem Cells. |
Q64111147 | Automated Detection of Celiac Disease on Duodenal Biopsy Slides: A Deep Learning Approach |
Q64252023 | Automated Detection of High-Frequency Oscillations in Epilepsy Based on a Convolutional Neural Network |
Q64039301 | Automated Detection of Macular Diseases by Optical Coherence Tomography and Artificial Intelligence Machine Learning of Optical Coherence Tomography Images |
Q88450713 | Automated Detection of Obstructive Sleep Apnea Events from a Single-Lead Electrocardiogram Using a Convolutional Neural Network |
Q64124548 | Automated Diagnosis of Plus Disease in Retinopathy of Prematurity Using Deep Convolutional Neural Networks |
Q58787040 | Automated Gleason grading of prostate cancer tissue microarrays via deep learning |
Q91710270 | Automated Hierarchy Evaluation System of Large Vessel Occlusion in Acute Ischemia Stroke |
Q47395265 | Automated Interpretation of Blood Culture Gram Stains using a Deep Convolutional Neural Network |
Q30770871 | Automated Measurement of Cobblestone Morphology for Characterizing Stem Cell Derived Retinal Pigment Epithelial Cell Cultures |
Q89794146 | Automated Myocardial T2 and Extracellular Volume Quantification in Cardiac MRI Using Transfer Learning-based Myocardium Segmentation |
Q61807451 | Automated Pulmonary Nodule Classification in Computed Tomography Images Using a Deep Convolutional Neural Network Trained by Generative Adversarial Networks |
Q88498917 | Automated Quality Assessment of Colour Fundus Images for Diabetic Retinopathy Screening in Telemedicine |
Q90713834 | Automated Quantification of Photoreceptor alteration in macular disease using Optical Coherence Tomography and Deep Learning |
Q92067025 | Automated Taxonomic Identification of Insects with Expert-Level Accuracy Using Effective Feature Transfer from Convolutional Networks |
Q41353724 | Automated Training of Deep Convolutional Neural Networks for Cell Segmentation. |
Q62491504 | Automated Triaging of Adult Chest Radiographs with Deep Artificial Neural Networks |
Q52659368 | Automated Whole-Body Bone Lesion Detection for Multiple Myeloma on 68Ga-Pentixafor PET/CT Imaging Using Deep Learning Methods. |
Q95270098 | Automated abnormality classification of chest radiographs using deep convolutional neural networks |
Q33613705 | Automated analysis of high-content microscopy data with deep learning |
Q45945130 | Automated analysis of seizure semiology and brain electrical activity in presurgery evaluation of epilepsy: A focused survey. |
Q90426497 | Automated and Manual Quantification of Tumour Cellularity in Digital Slides for Tumour Burden Assessment |
Q55317255 | Automated chest screening based on a hybrid model of transfer learning and convolutional sparse denoising autoencoder. |
Q62652937 | Automated classification of Alzheimer's disease and mild cognitive impairment using a single MRI and deep neural networks |
Q57169839 | Automated classification of osteomeatal complex inflammation on computed tomography using convolutional neural networks |
Q90623302 | Automated classification of three-dimensional reconstructions of coral reefs using convolutional neural networks |
Q64905028 | Automated continuous noninvasive ward monitoring: future directions and challenges. |
Q104478955 | Automated deep learning design for medical image classification by health-care professionals with no coding experience: a feasibility study |
Q59386926 | Automated defect analysis in electron microscopic images |
Q92266156 | Automated detection and classification of early AMD biomarkers using deep learning |
Q52342210 | Automated detection and classification of the proximal humerus fracture by using deep learning algorithm. |
Q62490429 | Automated detection of age-related macular degeneration in color fundus photography: A systematic review |
Q92704816 | Automated detection of altered mental status in emergency department clinical notes: a deep learning approach |
Q38985287 | Automated detection of coarctation of aorta in neonates from two-dimensional echocardiograms |
Q59793635 | Automated detection of moderate and large pneumothorax on frontal chest X-rays using deep convolutional neural networks: A retrospective study |
Q50630953 | Automated detection of pulmonary nodules in PET/CT images: Ensemble false-positive reduction using a convolutional neural network technique. |
Q92502340 | Automated detection of the HER2 gene amplification status in Fluorescence in situ hybridization images for the diagnostics of cancer tissues |
Q41561263 | Automated diagnosis of myositis from muscle ultrasound: Exploring the use of machine learning and deep learning methods |
Q45947200 | Automated image quality evaluation of T2 -weighted liver MRI utilizing deep learning architecture. |
Q119416774 | Automated large‐scale mapping and analysis of relict charcoal hearths in Connecticut (USA) using a Deep Learning YOLOv4 framework |
Q58700211 | Automated retinopathy of prematurity screening using deep neural networks |
Q92128431 | Automated segmentation of cardiomyocyte Z-disks from high-throughput scanning electron microscopy data |
Q92444247 | Automated sensing of daily activity: A new lens into development |
Q91983094 | Automated summarisation of SDOCT volumes using deep learning: Transfer learning vs de novo trained networks |
Q54969916 | Automatic Action Unit Detection in Infants Using Convolutional Neural Network. |
Q64102248 | Automatic Analysis of EEGs Using Big Data and Hybrid Deep Learning Architectures |
Q61817541 | Automatic Building Extraction from Google Earth Images under Complex Backgrounds Based on Deep Instance Segmentation Network |
Q92634409 | Automatic Classification of Squat Posture Using Inertial Sensors: Deep Learning Approach |
Q55266112 | Automatic Cone Photoreceptor Localisation in Healthy and Stargardt Afflicted Retinas Using Deep Learning. |
Q58321738 | Automatic Counting of Large Mammals from Very High Resolution Panchromatic Satellite Imagery |
Q90362083 | Automatic Detection of Arrhythmia Based on Multi-Resolution Representation of ECG Signal |
Q57166681 | Automatic Detection of Atrial Fibrillation Based on Continuous Wavelet Transform and 2D Convolutional Neural Networks |
Q45945610 | Automatic Determination of the Need for Intravenous Contrast in Musculoskeletal MRI Examinations Using IBM Watson's Natural Language Processing Algorithm. |
Q41056779 | Automatic Image-Based Plant Disease Severity Estimation Using Deep Learning. |
Q64064549 | Automatic Localization and Count of Agricultural Crop Pests Based on an Improved Deep Learning Pipeline |
Q92222667 | Automatic Lung Segmentation Based on Texture and Deep Features of HRCT Images with Interstitial Lung Disease |
Q52349009 | Automatic Modulation Classification Based on Deep Learning for Unmanned Aerial Vehicles. |
Q55495198 | Automatic Railway Traffic Object Detection System Using Feature Fusion Refine Neural Network under Shunting Mode. |
Q56341624 | Automatic Recognition of Ligands in Electron Density by Machine Learning |
Q73476804 | Automatic assessment of the cardiomyocyte development stages from confocal microscopy images using deep convolutional networks |
Q59126481 | Automatic classification of dual-modalilty, smartphone-based oral dysplasia and malignancy images using deep learning |
Q94571962 | Automatic classification of esophageal lesions in endoscopic images using a convolutional neural network |
Q38618891 | Automatic detection of hemorrhagic pericardial effusion on PMCT using deep learning - a feasibility study |
Q98157029 | Automatic detection of squamous cell carcinoma metastasis in esophageal lymph nodes using semantic segmentation |
Q64057077 | Automatic diagnosis of neurological diseases using MEG signals with a deep neural network |
Q64097535 | Automatic diagnostics of tuberculosis using convolutional neural networks analysis of MODS digital images |
Q39110949 | Automatic diet monitoring: a review of computer vision and wearable sensor-based methods. |
Q62496492 | Automatic food detection in egocentric images using artificial intelligence technology |
Q89640722 | Automatic generation of three-dimensional dose reconstruction data for two-dimensional radiotherapy plans for historically treated patients |
Q58771457 | Automatic hyoid bone detection in fluoroscopic images using deep learning |
Q48207111 | Automatic labeling of molecular biomarkers of immunohistochemistry images using fully convolutional networks. |
Q94237696 | Automatic mass detection in mammograms using deep convolutional neural networks |
Q91954724 | Automatic multiorgan segmentation in thorax CT images using U-net-GAN |
Q47129252 | Automatic plankton image classification combining multiple view features via multiple kernel learning |
Q53828209 | Automatic recognition of holistic functional brain networks using iteratively optimized convolutional neural networks (IO-CNN) with weak label initialization. |
Q33824639 | Automatic segmentation of nine retinal layer boundaries in OCT images of non-exudative AMD patients using deep learning and graph search. |
Q57297111 | Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks |
Q59246658 | Automatic vetting of planet candidates from ground-based surveys: machine learning with NGTS |
Q55303145 | Automatically identifying, counting, and describing wild animals in camera-trap images with deep learning. |
Q47780833 | Automating drug discovery |
Q96946313 | Automation of data analysis in molecular cancer imaging and its potential impact on future clinical practice |
Q92571336 | Automation to optimise physician treatment of individual patients: examples in psychiatry |
Q91706959 | Autonomous Sequence Generation for a Neural Dynamic Robot: Scene Perception, Serial Order, and Object-Oriented Movement |
Q92611277 | Axes of a revolution: challenges and promises of big data in healthcare |
Q52562331 | Axillary Lymph Node Evaluation Utilizing Convolutional Neural Networks Using MRI Dataset. |
Q105964734 | BII-Implementation: The causes and consequences of plant biodiversity across scales in a rapidly changing world |
Q64066170 | BOLD5000, a public fMRI dataset while viewing 5000 visual images |
Q48014048 | Balanced excitation and inhibition are required for high-capacity, noise-robust neuronal selectivity |
Q37738978 | BanglaLekha-Isolated: A multi-purpose comprehensive dataset of Handwritten Bangla Isolated characters |
Q59136617 | Barren plateaus in quantum neural network training landscapes |
Q59081636 | Battery-operated integrated frequency comb generator |
Q88233823 | Bayesian convolutional neural network based MRI brain extraction on nonhuman primates |
Q64259053 | Bayesian statistical learning for big data biology |
Q64071723 | Bearing Fault Diagnosis Method Based on Deep Convolutional Neural Network and Random Forest Ensemble Learning |
Q91741120 | Bearing Fault Diagnosis with a Feature Fusion Method Based on an Ensemble Convolutional Neural Network and Deep Neural Network |
Q64947503 | Beyond Bouma's window: How to explain global aspects of crowding? |
Q28075280 | Beyond Lumping and Splitting: A Review of Computational Approaches for Stratifying Psychiatric Disorders |
Q47142331 | Beyond Retinal Layers: A Deep Voting Model for Automated Geographic Atrophy Segmentation in SD-OCT Images |
Q28069307 | Beyond breast density: a review on the advancing role of parenchymal texture analysis in breast cancer risk assessment |
Q62495486 | Beyond playing games: nephrologist vs machine in pediatric dialysis prescribing |
Q89950312 | Beyond the feedforward sweep: feedback computations in the visual cortex |
Q42695674 | Beyond the hype: deep neural networks outperform established methods using a ChEMBL bioactivity benchmark set. |
Q59129523 | Bidirectional Nonnegative Deep Model and Its Optimization in Learning |
Q55147156 | Big Data Toolsets to Pharmacometrics: Application of Machine Learning for Time-to-Event Analysis. |
Q90096114 | Big Data and Artificial Intelligence Modeling for Drug Discovery |
Q47173407 | Big Data in Public Health: Terminology, Machine Learning, and Privacy. |
Q91684528 | Big data and machine learning algorithms for health-care delivery |
Q28069343 | Big data and tactical analysis in elite soccer: future challenges and opportunities for sports science |
Q47709512 | Big data and the industrialization of neuroscience: A safe roadmap for understanding the brain? |
Q60958324 | BindsNET: A Machine Learning-Oriented Spiking Neural Networks Library in Python |
Q95270092 | Bio-Inspired Techniques in a Fully Digital Approach for Lifelong Learning |
Q61449759 | Bio-inspired Analysis of Deep Learning on Not-So-Big Data Using Data-Prototypes |
Q60302046 | BioCreative VI Precision Medicine Track system performance is constrained by entity recognition and variations in corpus characteristics |
Q91650192 | BioGD: Bio-inspired robust gradient descent |
Q47173127 | BioSeq-Analysis: a platform for DNA, RNA and protein sequence analysis based on machine learning approaches |
Q99613454 | Biological batch normalisation: How intrinsic plasticity improves learning in deep neural networks |
Q89239660 | Biological classification with RNA-seq data: Can alternatively spliced transcript expression enhance machine learning classifiers? |
Q92534781 | Biological learning curves outperform existing ones in artificial intelligence algorithms |
Q55284265 | Biologically based neural circuit modelling for the study of fear learning and extinction. |
Q92127814 | Biomarkers for posttraumatic epilepsy |
Q52560344 | Biomedical Informatics on the Cloud: A Treasure Hunt for Advancing Cardiovascular Medicine. |
Q99556441 | Biomedical document triage using a hierarchical attention-based capsule network |
Q37167001 | Biomedical event trigger detection by dependency-based word embedding |
Q63738935 | Biomedical informatics and machine learning for clinical genomics |
Q92283651 | Biomedical named entity recognition using deep neural networks with contextual information |
Q39427131 | Biomimetic molecular design tools that learn, evolve, and adapt |
Q89693687 | BionoiNet: Ligand-binding site classification with off-the-shelf deep neural network |
Q38747800 | Bits and bytes: the future of radiology lies in informatics and information technology |
Q61454064 | Blending computational and experimental neuroscience |
Q38640780 | Blind Nonnegative Source Separation Using Biological Neural Networks. |
Q55105895 | BoostMe accurately predicts DNA methylation values in whole-genome bisulfite sequencing of multiple human tissues. |
Q81169386 | Bootstrapping Knowledge Graphs From Images and Text |
Q91496443 | Brain age prediction using deep learning uncovers associated sequence variants |
Q93196063 | Brain experiments imply adaptation mechanisms which outperform common AI learning algorithms |
Q38665462 | Brain tumor segmentation using holistically nested neural networks in MRI images |
Q98463539 | Brain-inspired replay for continual learning with artificial neural networks |
Q52642736 | Brain-state invariant thalamo-cortical coordination revealed by non-linear encoders. |
Q47138981 | Branching into brains. |
Q64991577 | Breaking the curse of dimensionality to identify causal variants in Breeding 4. |
Q33830087 | Breast Cancer Multi-classification from Histopathological Images with Structured Deep Learning Model. |
Q55052550 | Breast Mass Detection in Digital Mammogram Based on Gestalt Psychology. |
Q92848486 | Breast cancer histopathological image classification using a hybrid deep neural network |
Q64105002 | Breast cancer histopathological image classification using convolutional neural networks with small SE-ResNet module |
Q92232862 | Breast cancer outcome prediction with tumour tissue images and machine learning |
Q96112101 | Bronchial Cartilage Assessment with Model-Based GAN Regressor |
Q30302896 | Building Machines That Learn and Think Like People |
Q37055642 | Building functional networks of spiking model neurons |
Q89984747 | C-RNNCrispr: Prediction of CRISPR/Cas9 sgRNA activity using convolutional and recurrent neural networks |
Q60937475 | CANDLE/Supervisor: a workflow framework for machine learning applied to cancer research |
Q56532775 | CHAOS: a parallelization scheme for training convolutional neural networks on Intel Xeon Phi |
Q58490017 | CMU DeepLens: deep learning for automatic image-based galaxy–galaxy strong lens finding |
Q90249167 | CNN models discriminating between pulmonary micro-nodules and non-nodules from CT images |
Q47109735 | CNN-BLPred: a Convolutional neural network based predictor for β-Lactamases (BL) and their classes. |
Q94671631 | CNN-Peaks: ChIP-Seq peak detection pipeline using convolutional neural networks that imitate human visual inspection |
Q89513721 | CNN-based survival model for pancreatic ductal adenocarcinoma in medical imaging |
Q101574072 | COVID-Net: a tailored deep convolutional neural network design for detection of COVID-19 cases from chest X-ray images |
Q99403284 | CVDNet: A novel deep learning architecture for detection of coronavirus (Covid-19) from chest x-ray images |
Q93356580 | Camera recognition with deep learning |
Q62494119 | Can Deep Learning Improve Genomic Prediction of Complex Human Traits? |
Q113571151 | Can Robots Get Some Human Rights? A Cross-Disciplinary Discussion |
Q92877821 | Can machine learning account for human visual object shape similarity judgments? |
Q90947353 | Can neocortical feedback alter the sign of plasticity? |
Q92876136 | Cancer Diagnosis Using Deep Learning: A Bibliographic Review |
Q55216429 | Cancer Drug Response Profile scan (CDRscan): A Deep Learning Model That Predicts Drug Effectiveness from Cancer Genomic Signature. |
Q38730007 | Canonical computations of cerebral cortex |
Q89736160 | Capsule Networks Showed Excellent Performance in the Classification of hERG Blockers/Nonblockers |
Q101038661 | Capturing human categorization of natural images by combining deep networks and cognitive models |
Q90929472 | Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network |
Q92039365 | Cardiovascular disease risk prediction using automated machine learning: A prospective study of 423,604 UK Biobank participants |
Q92237531 | Category Decoding of Visual Stimuli From Human Brain Activity Using a Bidirectional Recurrent Neural Network to Simulate Bidirectional Information Flows in Human Visual Cortices |
Q89848973 | Causability and explainability of artificial intelligence in medicine |
Q57300041 | Causes of Performance Degradation in Non-invasive Electromyographic Pattern Recognition in Upper Limb Prostheses |
Q92867204 | Caveolae and scaffold detection from single molecule localization microscopy data using deep learning |
Q89628144 | Cell Image Classification: A Comparative Overview |
Q40447396 | Cell segmentation in histopathological images with deep learning algorithms by utilizing spatial relationships. |
Q56395621 | CellProfiler 3.0: Next-generation image processing for biology |
Q99555042 | Central Vestibular Tuning Arises from Patterned Convergence of Otolith Afferents |
Q114872016 | Ceramic Fabric Classification of Petrographic Thin Sections with Deep Learning |
Q57494696 | Cerebral Small Vessel Disease: A Review Focusing on Pathophysiology, Biomarkers, and Machine Learning Strategies |
Q39027317 | Chalcone Derivatives: Promising Starting Points for Drug Design. |
Q89705135 | Challenge in the new era: Translational medicine in gastrointestinal endoscopy and early cancer |
Q91677322 | Challenges of developing a digital scribe to reduce clinical documentation burden |
Q55717464 | Changing Trends in Computational Drug Repositioning. |
Q64054552 | Characterisation of nonlinear receptive fields of visual neurons by convolutional neural network |
Q60048621 | Characterising risk of in-hospital mortality following cardiac arrest using machine learning: A retrospective international registry study |
Q93081043 | Characterization of Industry 4.0 Lean Management Problem-Solving Behavioral Patterns Using EEG Sensors and Deep Learning |
Q91801980 | Chemi-Net: A Molecular Graph Convolutional Network for Accurate Drug Property Prediction |
Q57021260 | Chemical crystal identification with deep learning machine vision |
Q59771353 | Chemlistem: chemical named entity recognition using recurrent neural networks |
Q111519546 | Chickpea varietal classification using deep convolutional neural networks with transfer learning |
Q90089175 | Chimpanzee face recognition from videos in the wild using deep learning |
Q52323817 | Chiron: Translating nanopore raw signal directly into nucleotide sequence using deep learning. |
Q38637339 | Choosing Prediction Over Explanation in Psychology: Lessons From Machine Learning |
Q33874215 | Churn prediction of mobile and online casual games using play log data. |
Q57193155 | Cine Cardiac MRI Slice Misalignment Correction Towards Full 3D Left Ventricle Segmentation |
Q91869153 | CircSLNN: Identifying RBP-Binding Sites on circRNAs via Sequence Labeling Neural Networks |
Q97534211 | Circuit Depth Reduction for Gate-Model Quantum Computers |
Q92084508 | Citrus Pests and Diseases Recognition Model Using Weakly Dense Connected Convolution Network |
Q45361773 | Classical Statistics and Statistical Learning in Imaging Neuroscience |
Q89910951 | Classification Modeling Method for Near-Infrared Spectroscopy of Tobacco Based on Multimodal Convolution Neural Networks |
Q111519101 | Classification accuracy improvement of the optical diffractive deep neural network by employing a knowledge distillation and stochastic gradient descent β-Lasso joint training framework |
Q90707456 | Classification and Diagnosis of Thyroid Carcinoma Using Reinforcement Residual Network with Visual Attention Mechanisms in Ultrasound Images |
Q57170569 | Classification and Prediction of Brain Disorders Using Functional Connectivity: Promising but Challenging |
Q59020349 | Classification and Segmentation of Satellite Orthoimagery Using Convolutional Neural Networks |
Q91657122 | Classification and Visualization of Alzheimer's Disease using Volumetric Convolutional Neural Network and Transfer Learning |
Q38766127 | Classification and evaluation strategies of auto-segmentation approaches for PET: Report of AAPM task group No. 211. |
Q58102833 | Classification of Distorted Handwritten Digits by Swarming an Affine Transform Space |
Q90550034 | Classification of Tumor Epithelium and Stroma by Exploiting Image Features Learned by Deep Convolutional Neural Networks |
Q113695498 | Classification of Underwater Fish Images and Videos via Very Small Convolutional Neural Networks |
Q89781968 | Classification of VLF/LF Lightning Signals Using Sensors and Deep Learning Methods |
Q91749889 | Classification of alkaloids according to the starting substances of their biosynthetic pathways using graph convolutional neural networks |
Q55424220 | Classification of crystallization outcomes using deep convolutional neural networks. |
Q111522357 | Classification of diabetic retinopathy using unlabeled data and knowledge distillation |
Q55433575 | Classification of red blood cell shapes in flow using outlier tolerant machine learning. |
Q92188775 | Classification of skin lesions using transfer learning and augmentation with Alex-net |
Q59333040 | Classification of the glioma grading using radiomics analysis |
Q92669497 | Classification with a disordered dopant-atom network in silicon |
Q54965024 | Classifying Acute Ischemic Stroke Onset Time using Deep Imaging Features. |
Q88762833 | Classifying Alzheimer's disease with brain imaging and genetic data using a neural network framework |
Q64885724 | Classifying Image Stacks of Specular Silicon Wafer Back Surface Regions: Performance Comparison of CNNs and SVMs. |
Q98178811 | ClinicNet: machine learning for personalized clinical order set recommendations |
Q47433545 | Clinical Information Extraction Applications: A Literature Review |
Q55051859 | Clinical Named Entity Recognition Using Deep Learning Models. |
Q94475732 | Clinical prediction models in the precision medicine era: old and new algorithms |
Q88422471 | Clinical trial research in focus: improving drug development and trial design in pulmonary arterial hypertension |
Q91904648 | Clinical-grade computational pathology using weakly supervised deep learning on whole slide images |
Q98778533 | Clinically applicable histopathological diagnosis system for gastric cancer detection using deep learning |
Q93356589 | Clothing identification via deep learning: forensic applications |
Q92444828 | Coarse-to-Fine Classification of Road Infrastructure Elements from Mobile Point Clouds Using Symmetric Ensemble Point Network and Euclidean Cluster Extraction |
Q110510931 | Code smell detection by deep direct-learning and transfer-learning |
Q62494533 | Cognitive computational neuroscience |
Q37182064 | CoinFold: a web server for protein contact prediction and contact-assisted protein folding |
Q89300913 | Colour and illumination in computer vision |
Q88599143 | Combination of rs-fMRI and sMRI Data to Discriminate Autism Spectrum Disorders in Young Children Using Deep Belief Network |
Q108127178 | Combined Use of Modal Analysis and Machine Learning for Materials Classification |
Q62617975 | Combining Deep Learning and Preference Learning for Object Tracking |
Q108768061 | Combining Machine Learning and Computational Chemistry for Predictive Insights Into Chemical Systems |
Q61734797 | Combining Physically Based Modeling and Deep Learning for Fusing GRACE Satellite Data: Can We Learn From Mismatch? |
Q47396647 | Combining deep learning and coherent anti-Stokes Raman scattering imaging for automated differential diagnosis of lung cancer |
Q99572099 | Combining deep learning with 3D stereophotogrammetry for craniosynostosis diagnosis |
Q93039421 | Combining deep learning with token selection for patient phenotyping from electronic health records |
Q92494753 | Combining handcrafted features with latent variables in machine learning for prediction of radiation-induced lung damage |
Q92312036 | Combining patient visual timelines with deep learning to predict mortality |
Q62489564 | Combining the Power of Artificial Intelligence with the Richness of Healthcare Claims Data: Opportunities and Challenges |
Q38994528 | Commentary on "Rapid identification of Streptococcus and Enterococcus species using diffuse reflectance-absorbance Fourier transform infrared spectroscopy and artificial neural networks". |
Q50197391 | Commentary: Using goal-driven deep learning models to understand sensory cortex. |
Q106199779 | Communicating artificial neural networks develop efficient color-naming systems |
Q64060083 | Comparative Study of Different Methods in Vibration-Based Terrain Classification for Wheeled Robots with Shock Absorbers |
Q91910310 | Comparative analysis of computer-vision and BLE technology based indoor navigation systems for people with visual impairments |
Q92521479 | Comparative analysis of surface water quality prediction performance and identification of key water parameters using different machine learning models based on big data |
Q62492942 | Comparative effectiveness of convolutional neural network (CNN) and recurrent neural network (RNN) architectures for radiology text report classification |
Q91968924 | Comparative performances of machine learning methods for classifying Crohn Disease patients using genome-wide genotyping data |
Q100503937 | Comparative study between deep learning and QSAR classifications for TNBC inhibitors and novel GPCR agonist discovery |
Q91650983 | Comparing biological information contained in mRNA and non-coding RNAs for classification of lung cancer patients |
Q64109248 | Comparing deep belief networks with support vector machines for classifying gene expression data from complex disorders |
Q104495275 | Comparing feedforward and recurrent neural network architectures with human behavior in artificial grammar learning |
Q58427361 | Comparison of Data Preprocessing Approaches for Applying Deep Learning to Human Activity Recognition in the Context of Industry 4.0 |
Q45944238 | Comparison of Deep Learning With Multiple Machine Learning Methods and Metrics Using Diverse Drug Discovery Data Sets. |
Q60925343 | Comparison of Different Algorithms for Calculating Velocity and Stride Length in Running Using Inertial Measurement Units |
Q27342471 | Comparison of deep neural networks to spatio-temporal cortical dynamics of human visual object recognition reveals hierarchical correspondence |
Q92564048 | Comparison of different input modalities and network structures for deep learning-based seizure detection |
Q37610765 | Comparison of machine learning methods for classifying mediastinal lymph node metastasis of non-small cell lung cancer from 18F-FDG PET/CT images |
Q59335169 | Comparison of machine learning models for the prediction of mortality of patients with unplanned extubation in intensive care units |
Q92210331 | Comparisons among Machine Learning Models for the Prediction of Hypercholestrolemia Associated with Exposure to Lead, Mercury, and Cadmium |
Q55068191 | Competitive Deep-Belief Networks for Underwater Acoustic Target Recognition. |
Q42155732 | Complete fold annotation of the human proteome using a novel structural feature space. |
Q55541567 | Comprehensive analysis of lung cancer pathology images to discover tumor shape and boundary features that predict survival outcome. |
Q90064781 | Comprehensive evaluation of deep learning architectures for prediction of DNA/RNA sequence binding specificities |
Q92882157 | Compressive Sensing Spectroscopy Using a Residual Convolutional Neural Network |
Q47836278 | Computational Foundations of Natural Intelligence |
Q47698632 | Computational Intelligence-Assisted Understanding of Nature-Inspired Superhydrophobic Behavior |
Q93104933 | Computational Methods for the Discovery of Metabolic Markers of Complex Traits |
Q93045886 | Computational Neuroscience: Mathematical and Statistical Perspectives |
Q98735844 | Computational Prediction of Drug Responses in Cancer Cell Lines From Cancer Omics and Detection of Drug Effectiveness Related Methylation Sites |
Q57176826 | Computational Principles of Supervised Learning in the Cerebellum |
Q52573365 | Computational Protein Design with Deep Learning Neural Networks. |
Q47623355 | Computational Radiomics System to Decode the Radiographic Phenotype |
Q44787242 | Computational imaging: Machine learning for 3D microscopy |
Q55314135 | Computational mechanisms underlying cortical responses to the affordance properties of visual scenes. |
Q110949993 | Computational methods for the ab initio identification of novel microRNA in plants: a systematic review |
Q52638397 | Computational neuroanatomy of baby brains: A review. |
Q92244969 | Computational pathology definitions, best practices, and recommendations for regulatory guidance: a white paper from the Digital Pathology Association |
Q61798543 | Computational prediction of diagnosis and feature selection on mesothelioma patient health records |
Q90598205 | Computed Tomography 3D Super-Resolution with Generative Adversarial Neural Networks: Implications on Unsaturated and Two-Phase Fluid Flow |
Q59239690 | Computer Vision Detection of Salmon Muscle Gaping Using Convolutional Neural Network Features |
Q90635020 | Computer algorithm can match physicians' decisions about blood transfusions |
Q28595647 | Computer vision applied to herbarium specimens of German trees: testing the future utility of the millions of herbarium specimen images for automated identification |
Q38710186 | Computer vision for high content screening |
Q38690400 | Computer vision uncovers predictors of physical urban change |
Q60912632 | Computer vision-based phenotyping for improvement of plant productivity: a machine learning perspective |
Q89620911 | Computer-Aided Design of Antimicrobial Peptides: Are We Generating Effective Drug Candidates? |
Q90465190 | Computer-Aided Diagnosis Scheme for Determining Histological Classification of Breast Lesions on Ultrasonographic Images Using Convolutional Neural Network |
Q64102714 | Computer-Aided Diagnosis System of Fetal Hypoxia Incorporating Recurrence Plot With Convolutional Neural Network |
Q93352716 | Computer-aided diagnosis of congenital abnormalities of the kidney and urinary tract in children based on ultrasound imaging data by integrating texture image features and deep transfer learning image features |
Q91060232 | Computer-assisted EEG diagnostic review for idiopathic generalized epilepsy |
Q58602936 | Computerized Ultrasonic Imaging Inspection: From Shallow to Deep Learning |
Q58542645 | Computing of temporal information in spiking neural networks with ReRAM synapses |
Q52579616 | Concepts in Light Microscopy of Viruses. |
Q41430701 | Conceptual and technical advances define a key moment for theoretical neuroscience |
Q55401694 | Concussion classification via deep learning using whole-brain white matter fiber strains. |
Q90310549 | Connecting Histopathology Imaging and Proteomics in Kidney Cancer through Machine Learning |
Q36360149 | Connectome imaging for mapping human brain pathways |
Q47112088 | Conserved non-coding elements: developmental gene regulation meets genome organization |
Q92104820 | Constructing an Associative Memory System Using Spiking Neural Network |
Q93381609 | Content-aware image restoration: pushing the limits of fluorescence microscopy |
Q92900121 | Context Aware Machine Learning Approaches for Modeling Elastic Localization in Three-Dimensional Composite Microstructures |
Q102053817 | Context aware deep learning for brain tumor segmentation, subtype classification, and survival prediction using radiology images |
Q49505431 | Context-aware stacked convolutional neural networks for classification of breast carcinomas in whole-slide histopathology images. |
Q92466547 | Continual Learning Through Synaptic Intelligence |
Q39391752 | Continuous Online Sequence Learning with an Unsupervised Neural Network Model. |
Q89745131 | Continuous active development of super-resolution fluorescence microscopy |
Q49957606 | Control of synaptic plasticity in deep cortical networks. |
Q39254432 | Control without Controllers: Toward a Distributed Neuroscience of Executive Control |
Q59068404 | Controlling an organic synthesis robot with machine learning to search for new reactivity |
Q90236755 | Convcast: An embedded convolutional LSTM based architecture for precipitation nowcasting using satellite data |
Q90096549 | Conventional Filtering Versus U-Net Based Models for Pulmonary Nodule Segmentation in CT Images |
Q90969189 | Convolution Neural Network-Based Prediction of Protein Thermostability |
Q92700899 | Convolution kernel and iterative reconstruction affect the diagnostic performance of radiomics and deep learning in lung adenocarcinoma pathological subtypes |
Q50163395 | Convolutional Invasion and Expansion Networks for Tumor Growth Prediction. |
Q58606439 | Convolutional Networks Outperform Linear Decoders in Predicting EMG From Spinal Cord Signals |
Q55022080 | Convolutional Neural Network-Based Embarrassing Situation Detection under Camera for Social Robot in Smart Homes. |
Q92043560 | Convolutional Neural Networks Approach for Solar Reconstruction in SCAO Configurations |
Q108127043 | Convolutional Neural Networks Using Enhanced Radiographs for Real-Time Detection of in Maize Grain |
Q60916453 | Convolutional Neural Networks for Direct Inference of Pharmacokinetic Parameters: Application to Stroke Dynamic Contrast-Enhanced MRI |
Q92511475 | Convolutional Neural Networks for the Automatic Identification of Plant Diseases |
Q64064151 | Convolutional Neural Networks for the Segmentation of Microcalcification in Mammography Imaging |
Q57160352 | Convolutional Neural Networks with Template-Based Data Augmentation for Functional Lung Image Quantification |
Q30823621 | Convolutional networks for fast, energy-efficient neuromorphic computing |
Q37005476 | Convolutional neural network architectures for predicting DNA-protein binding |
Q50331298 | Convolutional neural network for earthquake detection and location. |
Q62492249 | Convolutional neural network for ultrasonic weldment flaw classification in noisy conditions |
Q64114117 | Convolutional neural network initialized active contour model with adaptive ellipse fitting for nuclear segmentation on breast histopathological images |
Q90622002 | Convolutional neural network model to predict causal risk factors that share complex regulatory features |
Q89543575 | Convolutional neural network scoring and minimization in the D3R 2017 community challenge |
Q62489444 | Convolutional neural network to predict the local recurrence of giant cell tumor of bone after curettage based on pre-surgery magnetic resonance images |
Q89377606 | Convolutional neural network-based image enhancement for x-ray percutaneous coronary intervention |
Q92548349 | Convolutional neural network-based segmentation can help in assessing the substantia nigra in neuromelanin MRI |
Q94570445 | Convolutional neural networks explain tuning properties of anterior, but not middle, face-processing areas in macaque inferotemporal cortex |
Q41596656 | Convolutional neural networks for automated annotation of cellular cryo-electron tomograms |
Q98158849 | Convolutional neural networks improve fungal classification |
Q64956383 | Convolutional neural networks: an overview and application in radiology. |
Q96348546 | Convolutional-neural-network-based diagnosis of appendicitis via CT scans in patients with acute abdominal pain presenting in the emergency department |
Q47801223 | Cooperative strategy for a dynamic ensemble of classification models in clinical applications: the case of MRI vertebral compression fractures. |
Q64248289 | CorneaNet: fast segmentation of cornea OCT scans of healthy and keratoconic eyes using deep learning |
Q40120224 | Correction of a splicing defect in a mouse model of congenital muscular dystrophy type 1A using a homology-directed-repair-independent mechanism |
Q91681132 | Counting Bites With Bits: Expert Workshop Addressing Calorie and Macronutrient Intake Monitoring |
Q93026691 | Cox Proportional Hazard Regression Versus a Deep Learning Algorithm in the Prediction of Dementia: An Analysis Based on Periodic Health Examination |
Q52596455 | Cox-nnet: An artificial neural network method for prognosis prediction of high-throughput omics data. |
Q60960684 | Crack Classification of a Pressure Vessel Using Feature Selection and Deep Learning Methods |
Q92863196 | Crop Phenomics: Current Status and Perspectives |
Q92700425 | Crop Yield Prediction Using Deep Neural Networks |
Q64084816 | CropDeep: The Crop Vision Dataset for Deep-Learning-Based Classification and Detection in Precision Agriculture |
Q49186638 | Cross-Scale Molecular Analysis of Chemical Heterogeneity in Shale Rocks. |
Q50421456 | Cross-modality deep learning-based prediction of TAP binding and naturally processed peptide. |
Q50021037 | Cumulative Risk and Impact Modeling on Environmental Chemical and Social Stressors. |
Q101403021 | Cumulative learning enables convolutional neural network representations for small mass spectrometry data classification |
Q102633721 | Current Advances in Neural Decoding |
Q57173565 | Current Applications and Future Impact of Machine Learning in Radiology |
Q26774502 | Current Challenges in Glioblastoma: Intratumour Heterogeneity, Residual Disease, and Models to Predict Disease Recurrence |
Q99551661 | Current Status and Future Perspectives of Artificial Intelligence in Magnetic Resonance Breast Imaging |
Q62495036 | Current Strategies and Applications for Precision Drug Design |
Q102219061 | Current Trends in Artificial Intelligence Application for Endourology and Robotic Surgery |
Q92759517 | Current applications of machine learning in the screening and diagnosis of glaucoma: a systematic review and Meta-analysis |
Q89850302 | DCNN for condition monitoring and fault detection in rotating machines and its contribution to the understanding of machine nature |
Q92731579 | DEEP MR IMAGE SUPER-RESOLUTION USING STRUCTURAL PRIORS |
Q64056832 | DEEPred: Automated Protein Function Prediction with Multi-task Feed-forward Deep Neural Networks |
Q64065216 | DESTINI: A deep-learning approach to contact-driven protein structure prediction |
Q91452714 | DIA-NN: neural networks and interference correction enable deep proteome coverage in high throughput |
Q36796353 | DNA context represents transcription regulation of the gene in mouse embryonic stem cells |
Q102152236 | DNN-assisted statistical analysis of a model of local cortical circuits |
Q55381330 | DPubChem: a web tool for QSAR modeling and high-throughput virtual screening. |
Q42276706 | DRREP: deep ridge regressed epitope predictor |
Q40985750 | DVS Benchmark Datasets for Object Tracking, Action Recognition, and Object Recognition |
Q37021556 | DanQ: a hybrid convolutional and recurrent deep neural network for quantifying the function of DNA sequences |
Q57663144 | Data Analysis Strategies in Medical Imaging |
Q92535507 | Data Augmentation for Brain-Tumor Segmentation: A Review |
Q56920716 | Data Science and symbolic AI: Synergies, challenges and opportunities |
Q64117643 | Data Science for Child Health |
Q47621680 | Data Science in Radiology: A Path Forward |
Q57250683 | Data Science in the Research Domain Criteria Era: Relevance of Machine Learning to the Study of Stress Pathology, Recovery, and Resilience |
Q88560382 | Data analytics approach to create waste generation profiles for waste management and collection |
Q91626091 | Data and Power Efficient Intelligence with Neuromorphic Learning Machines |
Q38599735 | Data augmentation-assisted deep learning of hand-drawn partially colored sketches for visual search |
Q90950087 | Data driven discovery of cyber physical systems |
Q102075335 | Data driven theory for knowledge discovery in the exact sciences with applications to thermonuclear fusion |
Q58730788 | Data mining and machine learning approaches for the integration of genome-wide association and methylation data: methodology and main conclusions from GAW20 |
Q58777426 | Data-Driven Transducer Design and Identification for Internally-Paced Motor Brain Computer Interfaces: A Review |
Q45930526 | Data-adaptive harmonic spectra and multilayer Stuart-Landau models. |
Q38600105 | Data-analysis strategies for image-based cell profiling. |
Q67229181 | Data-driven fatigue crack quantification and prognosis using nonlinear ultrasonic modulation |
Q64079781 | De novo Mutations From Whole Exome Sequencing in Neurodevelopmental and Psychiatric Disorders: From Discovery to Application |
Q38673213 | De novo peptide sequencing by deep learning |
Q62495403 | De novo profile generation based on sequence context specificity with the long short-term memory network |
Q50069678 | De-identification of medical records using conditional random fields and long short-term memory networks. |
Q52332120 | DeFine: deep convolutional neural networks accurately quantify intensities of transcription factor-DNA binding and facilitate evaluation of functional non-coding variants. |
Q107069041 | Decentralized Word2Vec Using Gossip Learning |
Q100946518 | Deciphering facial movements |
Q64948954 | Deciphering regulatory DNA sequences and noncoding genetic variants using neural network models of massively parallel reporter assays. |
Q38738891 | Deciphering tissue morphodynamics using bioimage informatics. |
Q89587219 | Decision Support System for Lung Cancer Using PET/CT and Microscopic Images |
Q62490867 | Decision Support Systems in Oncology |
Q64970761 | Decoding P300 Variability Using Convolutional Neural Networks. |
Q91802195 | Decoding and mapping task states of the human brain via deep learning |
Q64071559 | DeePromoter: Robust Promoter Predictor Using Deep Learning |
Q45944994 | Deep Arm/Ear-ECG Image Learning for Highly Wearable Biometric Human Identification. |
Q26741211 | Deep Artificial Neural Networks and Neuromorphic Chips for Big Data Analysis: Pharmaceutical and Bioinformatics Applications |
Q97526718 | Deep Cerebellar Nuclei Segmentation via Semi-Supervised Deep Context-Aware Learning from 7T Diffusion MRI |
Q47226971 | Deep Convolutional Neural Network Analysis of Flow Imaging Microscopy Data to Classify Subvisible Particles in Protein Formulations |
Q64945450 | Deep Convolutional Neural Network for Mapping Smallholder Agriculture Using High Spatial Resolution Satellite Image. |
Q49715580 | Deep Convolutional Neural Network-Based Early Automated Detection of Diabetic Retinopathy Using Fundus Image. |
Q58805805 | Deep Convolutional Neural Networks for Chest Diseases Detection |
Q38733939 | Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review. |
Q90275704 | Deep Convolutional Neural Networks for the Prediction of Molecular Properties: Challenges and Opportunities Connected to the Data |
Q57773336 | Deep Convolutional Neural Networks for the Segmentation of Gliomas in Multi-sequence MRI |
Q57896623 | Deep Creations: Intellectual Property and the Automata |
Q92322472 | Deep Cytometry: Deep learning with Real-time Inference in Cell Sorting and Flow Cytometry |
Q92028199 | Deep ECG-Respiration Network (DeepER Net) for Recognizing Mental Stress |
Q89882247 | Deep Flexible Sequential (DFS) Model for Air Pollution Forecasting |
Q92888745 | Deep Iris: Deep Learning for Gender Classification Through Iris Patterns |
Q91823652 | Deep Learning Analysis of Upright-Supine High-Efficiency SPECT Myocardial Perfusion Imaging for Prediction of Obstructive Coronary Artery Disease: A Multicenter Study |
Q27301054 | Deep Learning Applications for Predicting Pharmacological Properties of Drugs and Drug Repurposing Using Transcriptomic Data |
Q64085027 | Deep Learning Approach for Assessment of Bladder Cancer Treatment Response |
Q90660123 | Deep Learning Approach for Evaluating Knee MR Images: Achieving High Diagnostic Performance for Cartilage Lesion Detection |
Q36182843 | Deep Learning Automates the Quantitative Analysis of Individual Cells in Live-Cell Imaging Experiments |
Q92082991 | Deep Learning Based on Event-Related EEG Differentiates Children with ADHD from Healthy Controls |
Q91645710 | Deep Learning Classification of 3.5 GHz Band Spectrograms with Applications to Spectrum Sensing |
Q91715881 | Deep Learning Convolutional Neural Network for the Retrieval of Land Surface Temperature from AMSR2 Data in China |
Q93033492 | Deep Learning Electronic Cleansing for Single- and Dual-Energy CT Colonography |
Q52625530 | Deep Learning Improves Antimicrobial Peptide Recognition. |
Q92381110 | Deep Learning Intervention for Health Care Challenges: Some Biomedical Domain Considerations |
Q64921708 | Deep Learning Methods for Predicting Disease Status Using Genomic Data. |
Q54988306 | Deep Learning Methods for Underwater Target Feature Extraction and Recognition. |
Q91876345 | Deep Learning Model as a New Trend in Computer-aided Diagnosis of Tumor Pathology for Lung Cancer |
Q57066484 | Deep Learning Models Unveiled Functional Difference between Cortical Gyri and Sulci |
Q38669009 | Deep Learning Models of the Retinal Response to Natural Scenes. |
Q62489126 | Deep Learning Neural Networks Highly Predict Very Early Onset of Pluripotent Stem Cell Differentiation |
Q47121703 | Deep Learning Predicts Correlation between a Functional Signature of Higher Visual Areas and Sparse Firing of Neurons |
Q90212475 | Deep Learning Predicts Lung Cancer Treatment Response from Serial Medical Imaging |
Q91893206 | Deep Learning Predicts Total Knee Replacement from Magnetic Resonance Images |
Q48613239 | Deep Learning Representation from Electroencephalography of Early-Stage Creutzfeldt-Jakob Disease and Features for Differentiation from Rapidly Progressive Dementia. |
Q89497555 | Deep Learning Techniques to Improve the Performance of Olive Oil Classification |
Q58556508 | Deep Learning With Spiking Neurons: Opportunities and Challenges |
Q92617245 | Deep Learning and Multiplex Networks for Accurate Modeling of Brain Age |
Q92763648 | Deep Learning and Neurology: A Systematic Review |
Q50420138 | Deep Learning and its Applications in Biomedicine. |
Q33906012 | Deep Learning based Radiomics (DLR) and its usage in noninvasive IDH1 prediction for low grade glioma |
Q96434970 | Deep Learning for Accurate Diagnosis of Liver Tumor Based on Magnetic Resonance Imaging and Clinical Data |
Q36391630 | Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions |
Q38614990 | Deep Learning for Classification of Colorectal Polyps on Whole-slide Images |
Q89623133 | Deep Learning for Deep Chemistry: Optimizing the Prediction of Chemical Patterns |
Q62496471 | Deep Learning for Drug Design: an Artificial Intelligence Paradigm for Drug Discovery in the Big Data Era |
Q33902907 | Deep Learning for Fully-Automated Localization and Segmentation of Rectal Cancer on Multiparametric MR |
Q90193637 | Deep Learning for Industrial Computer Vision Quality Control in the Printing Industry 4.0. |
Q41872610 | Deep Learning for Plant Identification in Natural Environment. |
Q52650704 | Deep Learning for Prediction of Obstructive Disease From Fast Myocardial Perfusion SPECT: A Multicenter Study. |
Q89559226 | Deep Learning for Quantification of Epicardial and Thoracic Adipose Tissue From Non-Contrast CT |
Q92706767 | Deep Learning for RFID-Based Activity Recognition |
Q47308076 | Deep Learning for Tumor Classification in Imaging Mass Spectrometry. |
Q92667348 | Deep Learning for the Radiographic Detection of Periodontal Bone Loss |
Q93087941 | Deep Learning in Alzheimer's Disease: Diagnostic Classification and Prognostic Prediction Using Neuroimaging Data |
Q38918718 | Deep Learning in Drug Discovery. |
Q60345892 | Deep Learning in Image Cytometry: A Review |
Q27347513 | Deep Learning in Label-free Cell Classification |
Q33822228 | Deep Learning in Medical Image Analysis |
Q89587201 | Deep Learning in Medical Image Analysis |
Q108126677 | Deep Learning in Mining Biological Data |
Q50119016 | Deep Learning in Neuroradiology. |
Q88378590 | Deep Learning in Nuclear Medicine and Molecular Imaging: Current Perspectives and Future Directions |
Q57592535 | Deep Learning in the Medical Domain: Predicting Cardiac Arrest Using Deep Learning |
Q93150716 | Deep Learning on Electronic Health Records to Improve Disease Coding Accuracy |
Q90335302 | Deep Learning on Point Clouds and Its Application: A Survey |
Q92018535 | Deep Learning to Assess Long-term Mortality From Chest Radiographs |
Q57475332 | Deep Learning to Distinguish Recalled but Benign Mammography Images in Breast Cancer Screening |
Q92995053 | Deep Learning to Improve Breast Cancer Detection on Screening Mammography |
Q55091467 | Deep Learning to Predict Falls in Older Adults Based on Daily-Life Trunk Accelerometry. |
Q90170594 | Deep Learning to Predict Protein Backbone Structure from High-Resolution Cryo-EM Density Maps |
Q90571442 | Deep Learning-Based Algorithm for Detecting Aortic Stenosis Using Electrocardiography |
Q60929910 | Deep Learning-Based Automated Classification of Multi-Categorical Abnormalities From Optical Coherence Tomography Images |
Q50132018 | Deep Learning-Based Banknote Fitness Classification Using the Reflection Images by a Visible-Light One-Dimensional Line Image Sensor. |
Q94487261 | Deep Learning-Based Proarrhythmia Analysis Using Field Potentials Recorded From Human Pluripotent Stem Cells Derived Cardiomyocytes |
Q92344620 | Deep Learning-Based Real-Time Multiple-Object Detection and Tracking from Aerial Imagery via a Flying Robot with GPU-Based Embedded Devices |
Q92936209 | Deep Learning-Based Single-Cell Optical Image Studies |
Q90041086 | Deep Learning-Based Stroke Volume Estimation Outperforms Conventional Arterial Contour Method in Patients with Hemodynamic Instability |
Q92921137 | Deep Learning-Based Structure-Activity Relationship Modeling for Multi-Category Toxicity Classification: A Case Study of 10K Tox21 Chemicals With High-Throughput Cell-Based Androgen Receptor Bioassay Data |
Q92407797 | Deep Learning: A Rapid and Efficient Route to Automatic Metasurface Design |
Q55515213 | Deep Learning: Individual Maize Segmentation From Terrestrial Lidar Data Using Faster R-CNN and Regional Growth Algorithms. |
Q90338030 | Deep MR Brain Image Super-Resolution Using Spatio-Structural Priors |
Q92995085 | Deep Machine Learning Techniques for the Detection and Classification of Sperm Whale Bioacoustics |
Q41029162 | Deep Networks Can Resemble Human Feed-forward Vision in Invariant Object Recognition |
Q58692862 | Deep Neural Network Based Predictions of Protein Interactions Using Primary Sequences |
Q64263734 | Deep Neural Network Classifier for Virtual Screening Inhibitors of (S)-Adenosyl-L-Methionine (SAM)-Dependent Methyltransferase Family |
Q94676272 | Deep Neural Network Enabled Space Group Identification in EBSD |
Q61800960 | Deep Neural Network Inverse Design of Integrated Photonic Power Splitters |
Q64235837 | Deep Neural Network Models for Predicting Chemically Induced Liver Toxicity Endpoints From Transcriptomic Responses |
Q111521266 | Deep Neural Network Pretrained by Weighted Autoencoders and Transfer Learning for Retention Time Prediction of Small Molecules |
Q59811015 | Deep Neural Network-Based Method for Detecting Central Retinal Vein Occlusion Using Ultrawide-Field Fundus Ophthalmoscopy |
Q90655076 | Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening |
Q36906830 | Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records. |
Q38665572 | Deep Plant Phenomics: A Deep Learning Platform for Complex Plant Phenotyping Tasks. |
Q57384748 | Deep Recurrent Conditional Random Field Network for Protein Secondary Prediction |
Q55203952 | Deep Residual Network Predicts Cortical Representation and Organization of Visual Features for Rapid Categorization. |
Q50436163 | Deep Restricted Kernel Machines Using Conjugate Feature Duality. |
Q58780947 | Deep Supervised Learning Using Local Errors |
Q59791758 | Deep Synthesis of Realistic Medical Images: A Novel Tool in Clinical Research and Training |
Q90988720 | Deep Transferable Compound Representation across Domains and Tasks for Low Data Drug Discovery |
Q93020271 | Deep advantage learning for optimal dynamic treatment regime |
Q62495061 | Deep convolutional neural network for automatic discrimination between × flowers and other similar white wild flowers in fields |
Q92167757 | Deep convolutional neural network-based patch classification for retinal nerve fiber layer defect detection in early glaucoma |
Q90283973 | Deep convolutional neural networks for image-based Convolvulus sepium detection in sugar beet fields |
Q92545356 | Deep convolutional neural networks for mammography: advances, challenges and applications |
Q47158481 | Deep convolutional neural networks for pan-specific peptide-MHC class I binding prediction |
Q92167575 | Deep convolutional neural networks for the automated segmentation of malignant pleural mesothelioma on computed tomography scans |
Q91869381 | Deep echocardiography: data-efficient supervised and semi-supervised deep learning towards automated diagnosis of cardiac disease |
Q51735451 | Deep facial analysis: A new phase I epilepsy evaluation using computer vision. |
Q62496196 | Deep learning Radiomics of shear wave elastography significantly improved diagnostic performance for assessing liver fibrosis in chronic hepatitis B: a prospective multicentre study |
Q54943627 | Deep learning aided decision support for pulmonary nodules diagnosing: a review. |
Q100694294 | Deep learning algorithms for detecting and visualising intussusception on plain abdominal radiography in children: a retrospective multicenter study |
Q98777751 | Deep learning algorithms for rotating machinery intelligent diagnosis: An open source benchmark study |
Q62472433 | Deep learning and process understanding for data-driven Earth system science |
Q64100588 | Deep learning and radiomics in precision medicine |
Q90065249 | Deep learning approach to classification of lung cytological images: Two-step training using actual and synthesized images by progressive growing of generative adversarial networks |
Q59336687 | Deep learning architectures for prediction of nucleosome positioning from sequences data |
Q36925087 | Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis |
Q119413345 | Deep learning based automated analysis of archaeo‐geophysical images |
Q39486205 | Deep learning based classification of breast tumors with shear-wave elastography |
Q92438483 | Deep learning based image reconstruction algorithm for limited-angle translational computed tomography |
Q50332434 | Deep learning based tissue analysis predicts outcome in colorectal cancer. |
Q52642850 | Deep learning beyond cats and dogs: recent advances in diagnosing breast cancer with deep neural networks. |
Q89640737 | Deep learning can be used to train naïve, nonprofessional observers to detect diagnostic visual patterns of certain cancers in mammograms: a proof-of-principle study |
Q91718351 | Deep learning enables pathologist-like scoring of NASH models |
Q60923501 | Deep learning for DNase I hypersensitive sites identification |
Q62553510 | Deep learning for FTIR histology: leveraging spatial and spectral features with convolutional neural networks |
Q92424449 | Deep learning for bridge load capacity estimation in post-disaster and -conflict zones |
Q45943483 | Deep learning for cardiac computer-aided diagnosis: benefits, issues & solutions. |
Q92325782 | Deep learning for cellular image analysis |
Q26740441 | Deep learning for computational biology |
Q30399624 | Deep learning for computational chemistry |
Q92564556 | Deep learning for detecting retinal detachment and discerning macular status using ultra-widefield fundus images |
Q37161047 | Deep learning for digital pathology image analysis: A comprehensive tutorial with selected use cases |
Q38798101 | Deep learning for healthcare: review, opportunities and challenges. |
Q100750473 | Deep learning for identifying corneal diseases from ocular surface slit-lamp photographs |
Q89865931 | Deep learning for irregularly and regularly missing data reconstruction |
Q90168511 | Deep learning for multi-year ENSO forecasts |
Q64071828 | Deep learning for named entity recognition on Chinese electronic medical records: Combining deep transfer learning with multitask bi-directional LSTM RNN |
Q64322970 | Deep learning for photoacoustic tomography from sparse data |
Q47985019 | Deep learning for polyp recognition in wireless capsule endoscopy images. |
Q92319171 | Deep learning for prediction of cardiac indices from photoplethysmographic waveform: A virtual database approach |
Q62490575 | Deep learning for prediction of pharmaceutical formulations |
Q48102686 | Deep learning for real-time single-pixel video |
Q50572203 | Deep learning for regulatory genomics. |
Q97555581 | Deep learning for small and big data in psychiatry |
Q62496121 | Deep learning for staging liver fibrosis on CT: a pilot study |
Q98237817 | Deep learning for synthetic microstructure generation in a materials-by-design framework for heterogeneous energetic materials |
Q59335906 | Deep learning for universal linear embeddings of nonlinear dynamics |
Q90180035 | Deep learning identifies accurate burst locations in water distribution networks |
Q60919984 | Deep learning image recognition enables efficient genome editing in zebrafish by automated injections |
Q97422379 | Deep learning image segmentation and extraction of blueberry fruit traits associated with harvestability and yield |
Q50066023 | Deep learning improves prediction of CRISPR-Cpf1 guide RNA activity. |
Q61447227 | Deep learning improves prediction of drug-drug and drug-food interactions |
Q38836385 | Deep learning in bioinformatics |
Q91511799 | Deep learning in bioinformatics: Introduction, application, and perspective in the big data era |
Q91315062 | Deep learning in biomedicine |
Q48537399 | Deep learning in breast cancer risk assessment: evaluation of convolutional neural networks on a clinical dataset of full-field digital mammograms. |
Q91869666 | Deep learning in estimating prevalence and systemic risk factors for diabetic retinopathy: a multi-ethnic study |
Q92581124 | Deep learning in fracture detection: a narrative review |
Q100491005 | Deep learning in glaucoma with optical coherence tomography: a review |
Q96348280 | Deep learning in mental health outcome research: a scoping review |
Q52309127 | Deep learning in pharmacogenomics: from gene regulation to patient stratification. |
Q99559608 | Deep learning in proteomics |
Q94457726 | Deep learning in rare disease. Detection of tubers in tuberous sclerosis complex |
Q58026879 | Deep learning in robotics: a review of recent research |
Q90611180 | Deep learning in single-molecule microscopy: fundamentals, caveats, and recent developments [Invited] |
Q93110832 | Deep learning in turbulent convection networks |
Q112612966 | Deep learning integration of molecular and interactome data for protein-compound interaction prediction |
Q73165858 | Deep learning is combined with massive-scale citizen science to improve large-scale image classification |
Q88368591 | Deep learning massively accelerates super-resolution localization microscopy |
Q53733402 | Deep learning meets ontologies: experiments to anchor the cardiovascular disease ontology in the biomedical literature. |
Q96953982 | Deep learning methods in protein structure prediction |
Q90681767 | Deep learning models for bacteria taxonomic classification of metagenomic data |
Q97421918 | Deep learning models in genomics; are we there yet? |
Q112669935 | Deep learning object detection to estimate the nectar sugar mass of flowering vegetation |
Q42654368 | Deep learning of joint myelin and T1w MRI features in normal-appearing brain tissue to distinguish between multiple sclerosis patients and healthy controls |
Q47112458 | Deep learning of the splicing (epi)genetic code reveals a novel candidate mechanism linking histone modifications to ESC fate decision |
Q90023858 | Deep learning only by normal brain PET identify unheralded brain anomalies |
Q96953975 | Deep learning predicts microbial interactions from self-organized spatiotemporal patterns |
Q89610543 | Deep learning risk assessment models for predicting progression of radiographic medial joint space loss over a 48-MONTH follow-up period |
Q96022990 | Deep learning shows the capability of high-level computer-aided diagnosis in malignant lymphoma |
Q102141659 | Deep learning to predict elevated pulmonary artery pressure in patients with suspected pulmonary hypertension using standard chest X ray |
Q58760753 | Deep learning to represent subgrid processes in climate models |
Q50421210 | Deep learning with convolutional neural network in radiology. |
Q38637379 | Deep learning with convolutional neural networks for EEG decoding and visualization |
Q90064842 | Deep learning with multimodal representation for pancancer prognosis prediction |
Q59795768 | Deep learning-Using machine learning to study biological vision |
Q110949561 | Deep learning-a first meta-survey of selected reviews across scientific disciplines, their commonalities, challenges and research impact |
Q94476207 | Deep learning-based auto-segmentation of targets and organs-at-risk for magnetic resonance imaging only planning of prostate radiotherapy |
Q92101297 | Deep learning-based automated detection of retinal diseases using optical coherence tomography images |
Q90576529 | Deep learning-based classification of mesothelioma improves prediction of patient outcome |
Q91668365 | Deep learning-based classification of multi-categorical Alzheimer's disease data |
Q98192396 | Deep learning-based classification of posttraumatic stress disorder and depression following trauma utilizing visual and auditory markers of arousal and mood |
Q110949532 | Deep learning-based electrocardiogram rhythm and beat features for heart abnormality classification |
Q96127023 | Deep learning-based hologram generation using a white light source |
Q90911016 | Deep learning-based optical field screening for robust optical diffraction tomography |
Q93012649 | Deep learning: new computational modelling techniques for genomics |
Q42033905 | Deep multi-scale location-aware 3D convolutional neural networks for automated detection of lacunes of presumed vascular origin |
Q58715347 | Deep neural network based histological scoring of lung fibrosis and inflammation in the mouse model system |
Q57805521 | Deep neural network improves fracture detection by clinicians |
Q38610825 | Deep neural network-based computer-assisted detection of cerebral aneurysms in MR angiography. |
Q90696062 | Deep neural networks and kernel regression achieve comparable accuracies for functional connectivity prediction of behavior and demographics |
Q98463511 | Deep neural networks enable quantitative movement analysis using single-camera videos |
Q58726571 | Deep neural networks for accurate predictions of crystal stability |
Q92740460 | Deep neural networks for automated detection of marine mammal species |
Q62490460 | Deep neural networks in psychiatry |
Q50045282 | Deep recurrent neural network reveals a hierarchy of process memory during dynamic natural vision. |
Q47442495 | Deep reinforcement learning for automated radiation adaptation in lung cancer. |
Q97653965 | Deep representation learning of electronic health records to unlock patient stratification at scale |
Q93105021 | Deep scaled dot-product attention based domain adaptation model for biomedical question answering |
Q38377979 | Deep temporal models and active inference |
Q55467847 | Deep temporal models and active inference. |
Q50059735 | Deep transfer learning for characterizing chondrocyte patterns in phase contrast X-Ray computed tomography images of the human patellar cartilage. |
Q100525862 | Deep transfer learning for reducing health care disparities arising from biomedical data inequality |
Q59329352 | Deep transfer learning-based hologram classification for molecular diagnostics |
Q98156811 | Deep transfer learning artificial intelligence accurately stages COVID-19 lung disease severity on portable chest radiographs |
Q90101284 | Deep(er) Learning |
Q92564529 | Deep-Channel uses deep neural networks to detect single-molecule events from patch-clamp data |
Q60636540 | Deep-Learning Convolutional Neural Networks Accurately Classify Genetic Mutations in Gliomas |
Q92377182 | Deep-Learning-Based Physical Layer Authentication for Industrial Wireless Sensor Networks |
Q64260738 | Deep-Learning-Based Polar-Body Detection for Automatic Cell Manipulation |
Q91649567 | Deep-Resp-Forest: A deep forest model to predict anti-cancer drug response |
Q91292168 | Deep-UV excitation fluorescence microscopy for detection of lymph node metastasis using deep neural network |
Q33901654 | Deep-learning based, automated segmentation of macular edema in optical coherence tomography |
Q60907288 | Deep-learning classifier with ultrawide-field fundus ophthalmoscopy for detecting branch retinal vein occlusion |
Q90314449 | Deep-learning model for predicting 30-day postoperative mortality |
Q59807848 | Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet |
Q91879189 | Deep-learning-based Prediction of Late Age-Related Macular Degeneration Progression |
Q47152558 | Deep-learning-based ghost imaging |
Q64966963 | Deep-learning-based imaging-classification identified cingulate island sign in dementia with Lewy bodies. |
Q87192612 | Deep-learning-based quality filtering of mechanically exfoliated 2D crystals |
Q90912407 | Deep-learning-powered photonic analog-to-digital conversion |
Q42966532 | Deep-learning: investigating deep neural networks hyper-parameters and comparison of performance to shallow methods for modeling bioactivity data. |
Q47692122 | DeepARG: a deep learning approach for predicting antibiotic resistance genes from metagenomic data |
Q64247615 | DeepBehavior: A Deep Learning Toolbox for Automated Analysis of Animal and Human Behavior Imaging Data |
Q92407718 | DeepBindRG: a deep learning based method for estimating effective protein-ligand affinity |
Q38732767 | DeepBipolar: Identifying genomic mutations for bipolar disorder via deep learning. |
Q64102391 | DeepBouton: Automated Identification of Single-Neuron Axonal Boutons at the Brain-Wide Scale |
Q91709920 | DeepBrainSeg: Automated Brain Region Segmentation for Micro-Optical Images With a Convolutional Neural Network |
Q92668585 | DeepCC: a novel deep learning-based framework for cancer molecular subtype classification |
Q89607080 | DeepCPI: A Deep Learning-based Framework for Large-scale in silico Drug Screening |
Q55513041 | DeepCRISPR: optimized CRISPR guide RNA design by deep learning. |
Q60491050 | DeepCare: A Deep Dynamic Memory Model for Predictive Medicine |
Q59792338 | DeepConPred2: An Improved Method for the Prediction of Protein Residue Contacts |
Q30358676 | DeepCpG: accurate prediction of single-cell DNA methylation states using deep learning |
Q99631314 | DeepDDK: A Deep Learning based Oral-Diadochokinesis Analysis Software |
Q58757805 | DeepDTA: deep drug-target binding affinity prediction |
Q60951179 | DeepDynamicHand: A Deep Neural Architecture for Labeling Hand Manipulation Strategies in Video Sources Exploiting Temporal Information |
Q57788763 | DeepFocus: Detection of out-of-focus regions in whole slide digital images using deep learning |
Q57255139 | DeepGSR: an optimized deep-learning structure for the recognition of genomic signals and regions |
Q105667104 | DeepGraphMolGen, a multi-objective, computational strategy for generating molecules with desirable properties: a graph convolution and reinforcement learning approach |
Q89830540 | DeepHiC: A generative adversarial network for enhancing Hi-C data resolution |
Q50099584 | DeepIED: An epileptic discharge detector for EEG-fMRI based on deep learning. |
Q91362307 | DeepIso: A Deep Learning Model for Peptide Feature Detection from LC-MS map |
Q60923438 | DeepM6ASeq: prediction and characterization of m6A-containing sequences using deep learning |
Q33454878 | DeepMap+: Recognizing High-Level Indoor Semantics Using Virtual Features and Samples Based on a Multi-Length Window Framework |
Q92890421 | DeepMito: accurate prediction of protein sub-mitochondrial localization using convolutional neural networks |
Q96643759 | DeepNeuro: an open-source deep learning toolbox for neuroimaging |
Q55403455 | DeepNeuron: an open deep learning toolbox for neuron tracing. |
Q58195573 | DeepNitro: Prediction of Protein Nitration and Nitrosylation Sites by Deep Learning |
Q61798376 | DeepPVP: phenotype-based prioritization of causative variants using deep learning |
Q90029769 | DeepPod: a convolutional neural network based quantification of fruit number in Arabidopsis |
Q83226097 | DeepPoseKit, a software toolkit for fast and robust animal pose estimation using deep learning |
Q28817884 | DeepQA: improving the estimation of single protein model quality with deep belief networks |
Q61796783 | DeepSOFA: A Continuous Acuity Score for Critically Ill Patients using Clinically Interpretable Deep Learning |
Q96431533 | DeepSTORM3D: dense 3D localization microscopy and PSF design by deep learning |
Q91710016 | DeepScreen: An Accurate, Rapid, and Anti-Interference Screening Approach for Nanoformulated Medication by Deep Learning |
Q47243944 | DeepSig: deep learning improves signal peptide detection in proteins |
Q58129899 | DeepSort: deep convolutional networks for sorting haploid maize seeds |
Q90893613 | DeepSqueak: a deep learning-based system for detection and analysis of ultrasonic vocalizations |
Q93159744 | DeepSuccinylSite: a deep learning based approach for protein succinylation site prediction |
Q47290651 | DeepSynergy: Predicting anti-cancer drug synergy with Deep Learning |
Q91665586 | DeepSynth: Three-dimensional nuclear segmentation of biological images using neural networks trained with synthetic data |
Q55920548 | DeepTox: Toxicity Prediction using Deep Learning |
Q61796099 | DeepWeeds: A Multiclass Weed Species Image Dataset for Deep Learning |
Q61796584 | Defining host-pathogen interactions employing an artificial intelligence workflow |
Q47383643 | Delay dynamics of neuromorphic optoelectronic nanoscale resonators: Perspectives and applications. |
Q108126886 | Democratising deep learning for microscopy with ZeroCostDL4Mic |
Q90575094 | Democratized image analytics by visual programming through integration of deep models and small-scale machine learning |
Q57169640 | Demystification of AI-driven medical image interpretation: past, present and future |
Q90246550 | Demystifying the Jargon: The Bridge between Ophthalmology and Artificial Intelligence |
Q48022497 | Dendrites, deep learning, and sequences in the hippocampus |
Q64077087 | Dense Quantum Measurement Theory |
Q96641003 | Dense anatomical annotation of slit-lamp images improves the performance of deep learning for the diagnosis of ophthalmic disorders |
Q55476957 | Dense deconvolution net: Multi path fusion and dense deconvolution for high resolution skin lesion segmentation. |
Q89578309 | Depth Density Achieves a Better Result for Semantic Segmentation with the Kinect System |
Q50190210 | Derivative-free neural network for optimizing the scoring functions associated with dynamic programming of pairwise-profile alignment. |
Q89686128 | Deriving disease modules from the compressed transcriptional space embedded in a deep autoencoder |
Q99590044 | Deriving new soft tissue contrasts from conventional MR images using deep learning |
Q28528865 | Dermatologist-level classification of skin cancer with deep neural networks |
Q111521848 | DermoExpert: Skin lesion classification using a hybrid convolutional neural network through segmentation, transfer learning, and augmentation |
Q110949603 | Descriptive analysis of dental X-ray images using various practical methods: A review |
Q64065692 | Design of Plant Protection UAV Variable Spray System Based on Neural Networks |
Q61437137 | Design of an experimental protocol to examine medication non-adherence among young drivers diagnosed with ADHD: A driving simulator study |
Q91791907 | Design of task-specific optical systems using broadband diffractive neural networks |
Q99365339 | Designing and understanding light-harvesting devices with machine learning |
Q68693085 | Designing neural networks through neuroevolution |
Q92126439 | Detecting Anomalies of Satellite Power Subsystem via Stage-Training Denoising Autoencoders |
Q93271346 | Detecting Prostate Cancer Using Pattern Recognition Neural Networks With Flow Cytometry-Based Immunophenotyping in At-Risk Men |
Q110950301 | Detecting cassava mosaic disease using a deep residual convolutional neural network with distinct block processing |
Q64082616 | Detecting changes in facial temperature induced by a sudden auditory stimulus based on deep learning-assisted face tracking |
Q110949745 | Detecting sarcasm in multi-domain datasets using convolutional neural networks and long short term memory network model |
Q92481106 | Detecting schizophrenia at the level of the individual: relative diagnostic value of whole-brain images, connectome-wide functional connectivity and graph-based metrics |
Q89493882 | Detecting the Information of Functional Connectivity Networks in Normal Aging Using Deep Learning From a Big Data Perspective |
Q31154545 | Detection and Labeling of Vertebrae in MR Images Using Deep Learning with Clinical Annotations as Training Data |
Q102388907 | Detection and classification of intracranial haemorrhage on CT images using a novel deep-learning algorithm |
Q64109356 | Detection of Congestive Heart Failure Based on LSTM-Based Deep Network via Short-Term RR Intervals |
Q96302431 | Detection of Hepatocellular Carcinoma in Contrast-Enhanced Magnetic Resonance Imaging Using Deep Learning Classifier: A Multi-Center Retrospective Study |
Q90382980 | Detection of Lower Albuminuria Levels and Early Development of Diabetic Kidney Disease Using an Artificial Intelligence-Based Rule Extraction Approach |
Q49946974 | Detection of Lung Contour with Closed Principal Curve and Machine Learning. |
Q92229575 | Detection of anaemia from retinal fundus images via deep learning |
Q38981374 | Detection of concealed cars in complex cargo X-ray imagery using Deep Learning |
Q57493448 | Detection of exudates in fundus photographs with imbalanced learning using conditional generative adversarial network |
Q57038123 | Detection of gastritis by a deep convolutional neural network from double-contrast upper gastrointestinal barium X-ray radiography |
Q104478868 | Detection of glaucomatous optic neuropathy with spectral-domain optical coherence tomography: a retrospective training and validation deep-learning analysis |
Q59349641 | Detection of herpesvirus capsids in transmission electron microscopy images using transfer learning |
Q38614763 | Detection of high-grade small bowel obstruction on conventional radiography with convolutional neural networks. |
Q64061315 | Detection of smoking status from retinal images; a Convolutional Neural Network study |
Q50117441 | Determination of Odour Interactions in Gaseous Mixtures Using Electronic Nose Methods with Artificial Neural Networks. |
Q108028271 | Determination of oil well placement using convolutional neural network coupled with robust optimization under geological uncertainty |
Q111522755 | Determining Top Fully Connected Layer’s Hidden Neuron Count for Transfer Learning, Using Knowledge Distillation: a Case Study on Chest X-Ray Classification of Pneumonia and COVID-19 |
Q91909009 | Development and Validation of Deep-Learning Algorithm for Electrocardiography-Based Heart Failure Identification |
Q96609723 | Development and Validation of Prediction Model for Risk Reduction of Metabolic Syndrome by Body Weight Control: A Prospective Population-based Study |
Q45942996 | Development and Validation of a Deep Learning System for Diabetic Retinopathy and Related Eye Diseases Using Retinal Images From Multiethnic Populations With Diabetes. |
Q89886072 | Development and Validation of an Objective, Passive Dietary Assessment Method for Estimating Food and Nutrient Intake in Households in Low- and Middle-Income Countries: A Study Protocol |
Q100512280 | Development and evaluation of an artificial intelligence system for COVID-19 diagnosis |
Q92224083 | Development and validation of a deep-learning model for scoring of radiographic finger joint destruction in rheumatoid arthritis |
Q94479709 | Development and validation of an interpretable deep learning framework for Alzheimer's disease classification |
Q90178940 | Development and verification of prediction models for preventing cardiovascular diseases |
Q64126095 | Development of MAST: A Microscopy-Based Antimicrobial Susceptibility Testing Platform |
Q89604357 | Development of a Human Activity Recognition System for Ballet Tasks |
Q90422740 | Development of a Real-Time Risk Prediction Model for In-Hospital Cardiac Arrest in Critically Ill Patients Using Deep Learning: Retrospective Study |
Q88502041 | Development of a deep convolutional neural network to predict grading of canine meningiomas from magnetic resonance images |
Q94475789 | Development of a deep learning model for classifying thymoma as Masaoka-Koga stage I or II via preoperative CT images |
Q90598188 | Development of a real-time endoscopic image diagnosis support system using deep learning technology in colonoscopy |
Q64099658 | Development of an intelligent decision support system for ischemic stroke risk assessment in a population-based electronic health record database |
Q50421470 | Development of models for classification of action between heat-clearing herbs and blood-activating stasis-resolving herbs based on theory of traditional Chinese medicine. |
Q102070869 | Development of the automated software and device for determination of wicking in textiles using open-source tools |
Q64110314 | Developments in Transduction, Connectivity and AI/Machine Learning for Point-of-Care Testing |
Q48109895 | Diabetic retinopathy screening using deep neural network |
Q92376874 | Diagnosis of Breast Hyperplasia and Evaluation of RuXian-I Based on Metabolomics Deep Belief Networks |
Q91526249 | Diagnosis of Thyroid Nodules: Performance of a Deep Learning Convolutional Neural Network Model vs. Radiologists |
Q110949622 | Diagnosis of hearing deficiency using EEG based AEP signals: CWT and improved-VGG16 pipeline |
Q90743645 | Diagnosis of thyroid cancer using deep convolutional neural network models applied to sonographic images: a retrospective, multicohort, diagnostic study |
Q64069406 | Diagnostic ability of artificial intelligence using deep learning analysis of cyst fluid in differentiating malignant from benign pancreatic cystic lesions |
Q90715891 | Diagnostic performance of standard breast MRI compared to dedicated axillary MRI for assessment of node-negative and node-positive breast cancer |
Q92102799 | Different fundus imaging modalities and technical factors in AI screening for diabetic retinopathy: a review |
Q98725904 | Different scaling of linear models and deep learning in UKBiobank brain images versus machine-learning datasets |
Q90031780 | Differentiating Alzheimer's Disease from Dementia with Lewy Bodies Using a Deep Learning Technique Based on Structural Brain Connectivity |
Q64277089 | Differentiating post-cancer from healthy tongue muscle coordination patterns during speech using deep learning |
Q91473429 | Digit-tracking as a new tactile interface for visual perception analysis |
Q91738986 | Digital Image Analysis of Heterogeneous Tuberculosis Pulmonary Pathology in Non-Clinical Animal Models using Deep Convolutional Neural Networks |
Q90391745 | Digital Microscopy, Image Analysis, and Virtual Slide Repository |
Q47207173 | Digital epidemiology: what is it, and where is it going? |
Q45943609 | Digital image analysis in breast pathology-from image processing techniques to artificial intelligence. |
Q91684519 | Digital pathology and artificial intelligence |
Q98733550 | Digital pathology and computational image analysis in nephropathology |
Q64267149 | Digital staining through the application of deep neural networks to multi-modal multi-photon microscopy |
Q91875224 | Digital technology and COVID-19 |
Q99212624 | Digital technology, tele-medicine and artificial intelligence in ophthalmology: A global perspective |
Q64093521 | Dilated Dense U-Net for Infant Hippocampus Subfield Segmentation |
Q91689192 | Direct Cellularity Estimation on Breast Cancer Histopathology Images Using Transfer Learning |
Q64969592 | Direct Feedback Alignment With Sparse Connections for Local Learning. |
Q89575642 | Direct Fit to Nature: An Evolutionary Perspective on Biological and Artificial Neural Networks |
Q38617915 | Direct Learning Hidden Excited State Interaction Patterns from ab initio Dynamics and Its Implication as Alternative Molecular Mechanism Models. |
Q46580730 | Direct PseudoCT Generation for Pelvis PET/MRI Attenuation Correction using Deep Convolutional Neural Networks with Multi-parametric MRI: Zero Echo-time and Dixon Deep pseudoCT (ZeDD-CT). |
Q98391331 | Direct cortical thickness estimation using deep learning-based anatomy segmentation and cortex parcellation |
Q31114056 | Discovering Psychological Principles by Mining Naturally Occurring Data Sets |
Q89891637 | Discovering and interpreting transcriptomic drivers of imaging traits using neural networks |
Q59790604 | Discovering de novo peptide substrates for enzymes using machine learning |
Q110949884 | Discovering generative models from event logs: data-driven simulation vs deep learning |
Q92897578 | Discovering hierarchical common brain networks via multimodal deep belief network |
Q64059070 | Discovering place-informative scenes and objects using social media photos |
Q94591356 | Discovering the hidden messages within cell trajectories using a deep learning approach for in vitro evaluation of cancer drug treatments |
Q39017059 | Discriminating solitary cysts from soft tissue lesions in mammography using a pretrained deep convolutional neural network |
Q60305881 | Distillation of the clinical algorithm improves prognosis by multi-task deep learning in high-risk Neuroblastoma |
Q52929758 | Distributed deep learning networks among institutions for medical imaging. |
Q40591683 | Diversity priors for learning early visual features |
Q35985851 | Divide and Conquer: Sub-Grouping of ASD Improves ASD Detection Based on Brain Morphometry |
Q57193234 | Document triage for identifying protein-protein interactions affected by mutations: a neural network ensemble approach |
Q39314725 | Does the Cerebral Cortex Exploit High-Dimensional, Non-linear Dynamics for Information Processing? |
Q90533872 | Doing the Impossible: Why Neural Networks Can Be Trained at All |
Q92343601 | Driver Face Verification with Depth Maps |
Q109558274 | DrugEx v2: de novo design of drug molecules by Pareto-based multi-objective reinforcement learning in polypharmacology |
Q47119118 | Drugs and Targets in Fibrosis |
Q64266309 | Dual deep neural network-based classifiers to detect experimental seizures |
Q41977721 | Dual-stage deep learning framework for pigment epithelium detachment segmentation in polypoidal choroidal vasculopathy |
Q104485905 | Dynamic ElecTronic hEalth reCord deTection (DETECT) of individuals at risk of a first episode of psychosis: a case-control development and validation study |
Q112690302 | Dynamic Gesture Recognition Algorithm Based on 3D Convolutional Neural Network |
Q110949617 | Dynamic sampling of images from various categories for classification based incremental deep learning in fog computing |
Q89529126 | Dynamical Role of Pivotal Brain Regions in Parkinson Symptomatology Uncovered with Deep Learning |
Q62495218 | ED-FNN: A New Deep Learning Algorithm to Detect Percentage of the Gait Cycle for Powered Prostheses |
Q28595590 | EEG Negativity in Fixations Used for Gaze-Based Control: Toward Converting Intentions into Actions with an Eye-Brain-Computer Interface |
Q95270138 | EEG Signal Reconstruction Using a Generative Adversarial Network With Wasserstein Distance and Temporal-Spatial-Frequency Loss |
Q93353913 | EEG classification of driver mental states by deep learning |
Q55378098 | EEG-Based Detection of Braking Intention Under Different Car Driving Conditions. |
Q92019422 | EEG-based outcome prediction after cardiac arrest with convolutional neural networks: Performance and visualization of discriminative features |
Q32957943 | ELiRF-UPV at SemEval-2017 Task 4: Sentiment Analysis using Deep Learning |
Q47412474 | EMG-Based Estimation of Limb Movement Using Deep Learning With Recurrent Convolutional Neural Networks |
Q64076619 | ERISNet: deep neural network for detection along the coastline of the Mexican Caribbean |
Q64100460 | Early Detection of Tomato Spotted Wilt Virus by Hyperspectral Imaging and Outlier Removal Auxiliary Classifier Generative Adversarial Nets (OR-AC-GAN) |
Q55400981 | Early prediction of cognitive deficits in very preterm infants using functional connectome data in an artificial neural network framework. |
Q104064435 | Early prediction of neoadjuvant chemotherapy response for advanced breast cancer using PET/MRI image deep learning |
Q110950132 | Early survey with bibliometric analysis on machine learning approaches in controlling COVID-19 outbreaks |
Q97568585 | Early triage of critically ill COVID-19 patients using deep learning |
Q99589442 | Early warning model for passenger disturbance due to flight delays |
Q98280902 | Earthquake transformer-an attentive deep-learning model for simultaneous earthquake detection and phase picking |
Q56058034 | Echo State Property of Deep Reservoir Computing Networks |
Q47787178 | Economics and computer science of a radio spectrum reallocation |
Q47383057 | Editorial: Artificial Neural Networks as Models of Neural Information Processing |
Q90345593 | Editorial: Deep Learning for Toxicity and Disease Prediction |
Q64114305 | Editorial: Deep Learning in Biological, Computer, and Neuromorphic Systems |
Q40383448 | Editorial: Integrating Computational and Neural Findings in Visual Object Perception |
Q98178449 | Effect of Missing Data Imputation on Deep Learning Prediction Performance for Vesicoureteral Reflux and Recurrent Urinary Tract Infection Clinical Study |
Q55085065 | Effect of missing data on multitask prediction methods. |
Q98945000 | Effect of sequence padding on the performance of deep learning models in archaeal protein functional prediction |
Q55418658 | Effective Vehicle-Based Kangaroo Detection for Collision Warning Systems Using Region-Based Convolutional Networks. |
Q91806257 | Effectively training neural networks for stock index prediction: Predicting the S&P 500 index without using its index data |
Q108595707 | Efficacy of Feedforward and LSTM Neural Networks at Predicting and Gap Filling Coastal Ocean Timeseries: Oxygen, Nutrients, and Temperature |
Q64125231 | Efficiency Improvement in a Busy Radiology Practice: Determination of Musculoskeletal Magnetic Resonance Imaging Protocol Using Deep-Learning Convolutional Neural Networks |
Q48043060 | Efficiency of quantum vs. classical annealing in nonconvex learning problems |
Q89701490 | Efficient Classification of White Blood Cell Leukemia with Improved Swarm Optimization of Deep Features |
Q55347434 | Efficient and self-adaptive in-situ learning in multilayer memristor neural networks. |
Q92100757 | Efficient multi-objective molecular optimization in a continuous latent space |
Q92220651 | Efficient phenotypic sex classification of zebrafish using machine learning methods |
Q40456551 | Efficient reinforcement learning of a reservoir network model of parametric working memory achieved with a cluster population winner-take-all readout mechanism. |
Q41689839 | Efficient representation of quantum many-body states with deep neural networks |
Q108319476 | Electromagnetic radiation interference signal recognition in coal rock mining based on recurrent neural networks |
Q94483707 | Electronic-photonic arithmetic logic unit for high-speed computing |
Q59794468 | ElemNet: Deep Learning the Chemistry of Materials From Only Elemental Composition |
Q60920689 | Embedding of Genes Using Cancer Gene Expression Data: Biological Relevance and Potential Application on Biomarker Discovery |
Q50485675 | Embodiment of Learning in Electro-Optical Signal Processors. |
Q50443994 | Emergence of Compositional Representations in Restricted Boltzmann Machines. |
Q57071056 | Emergent Properties of Microbial Activity in Heterogeneous Soil Microenvironments: Different Research Approaches Are Slowly Converging, Yet Major Challenges Remain |
Q62491509 | Emerging Applications of Artificial Intelligence in Neuro-Oncology |
Q35880453 | Emerging Heterogeneities in Italian Customs and Comparison with Nearby Countries |
Q57142714 | Emerging Intraoperative Imaging Modalities to Improve Surgical Precision |
Q90453302 | Emerging MRI Techniques to Redefine Treatment Response in Patients With Glioblastoma |
Q96306309 | Emerging Opportunities Provided by Technology to Advance Research in Child Health Globally |
Q91821626 | Emerging role of deep learning-based artificial intelligence in tumor pathology |
Q55016394 | Emerging trends in geospatial artificial intelligence (geoAI): potential applications for environmental epidemiology |
Q106784837 | Employment, Utilization, and Development of Airborne Laser Scanning in Fenno-Scandinavian Archaeology—A Review |
Q45989510 | Enabling Anyone to Translate Clinically Relevant Ideas to Therapies. |
Q90413880 | Enabling automated herbarium sheet image post-processing using neural network models for color reference chart detection |
Q52356103 | Encoding sensory and motor patterns as time-invariant trajectories in recurrent neural networks. |
Q64066125 | Encodings and models for antimicrobial peptide classification for multi-resistant pathogens |
Q90695026 | End-to-End Automatic Pronunciation Error Detection Based on Improved Hybrid CTC/Attention Architecture |
Q90040439 | End-to-End Differentiable Learning of Protein Structure |
Q38637480 | Endoscopic approach to polyp recognition |
Q92732372 | Endothelial ERK1/2 signaling maintains integrity of the quiescent endothelium |
Q38719488 | Energy-Based Neural Networks as a Tool for Harmony-Based Virtual Screening |
Q37346846 | Energy-efficient neural network chips approach human recognition capabilities |
Q93054842 | Engineering Tissue Fabrication With Machine Intelligence: Generating a Blueprint for Regeneration |
Q92984337 | Enhanced classifier training to improve precision of a convolutional neural network to identify images of skin lesions |
Q47253319 | Enhancing Evolutionary Couplings with Deep Convolutional Neural Networks |
Q104752388 | Enhancing Genetic Gain through Genomic Selection: From Livestock to Plants |
Q50284205 | Enhancing Hi-C data resolution with deep convolutional neural network HiCPlus. |
Q38403596 | Enhancing Insights into Pulmonary Vascular Disease through a Precision Medicine Approach. A Joint NHLBI-Cardiovascular Medical Research and Education Fund Workshop Report. |
Q91404382 | Enhancing materials property prediction by leveraging computational and experimental data using deep transfer learning |
Q90284256 | Ensembles of Deep Learning Models and Transfer Learning for Ear Recognition |
Q64057436 | Environment Sound Classification Using a Two-Stream CNN Based on Decision-Level Fusion |
Q92443827 | Epigenetics Analysis and Integrated Analysis of Multiomics Data, Including Epigenetic Data, Using Artificial Intelligence in the Era of Precision Medicine |
Q47230910 | Epileptic Seizure Prediction Using Big Data and Deep Learning: Toward a Mobile System. |
Q91710041 | Equilibrium Propagation for Memristor-Based Recurrent Neural Networks |
Q59072143 | Equivalent-accuracy accelerated neural-network training using analogue memory |
Q89747163 | Estimating CT Image from MRI Data Using 3D Fully Convolutional Networks |
Q90262879 | Estimating an individual's oxygen uptake during cycling exercise with a recurrent neural network trained from easy-to-obtain inputs: A pilot study |
Q96690846 | Estimating and interpreting nonlinear receptive field of sensory neural responses with deep neural network models |
Q93009002 | Estimation of absolute states of human skeletal muscle via standard B-mode ultrasound imaging and deep convolutional neural networks |
Q91728059 | Estimation of free-roaming domestic dog population size: Investigation of three methods including an Unmanned Aerial Vehicle (UAV) based approach |
Q92503703 | Estimation of in vivo constitutive parameters of the aortic wall using a machine learning approach |
Q47381997 | Estimation of in vivo mechanical properties of the aortic wall: A multi-resolution direct search approach |
Q91858028 | Ethical considerations about artificial intelligence for prognostication in intensive care |
Q91949854 | Evaluation of Deep Learning Strategies for Nucleus Segmentation in Fluorescence Images |
Q89552156 | Evaluation of Transfer Learning with Deep Convolutional Neural Networks for Screening Osteoporosis in Dental Panoramic Radiographs |
Q91565674 | Evaluation of an AI system for the automated detection of glaucoma from stereoscopic optic disc photographs: the European Optic Disc Assessment Study |
Q61796493 | Evaluation of an improved tool for non-invasive prediction of neonatal respiratory morbidity based on fully automated fetal lung ultrasound analysis |
Q96640215 | Evaluation of deep convolutional neural networks for automatic classification of common maternal fetal ultrasound planes |
Q55347944 | Event-Based, Timescale Invariant Unsupervised Online Deep Learning With STDP. |
Q47223973 | Evidence of emotion-antecedent appraisal checks in electroencephalography and facial electromyography |
Q59123933 | Evolutionary Algorithms Applied to Antennas and Propagation: A Review of State of the Art |
Q58947476 | Evolutionary image simplification for lung nodule classification with convolutional neural networks |
Q56523386 | Evolutionary methods for variable selection in the epidemiological modeling of cardiovascular diseases |
Q57816855 | Evolving Robust Policy Coverage Sets in Multi-Objective Markov Decision Processes Through Intrinsically Motivated Self-Play |
Q45943353 | Evolving autonomous learning in cognitive networks. |
Q58721713 | Examining the viability of dorsal fin pigmentation for individual identification of poorly-marked delphinids |
Q90175961 | Examples of Gibsonian Affordances in Legged Robotics Research Using an Empirical, Generative Framework |
Q62428109 | Excessive Invariance Causes Adversarial Vulnerability |
Q98565522 | Exercise-induced calf muscle hyperemia: Rapid mapping of magnetic resonance imaging using deep learning approach |
Q94948419 | Experimental Demonstration of Supervised Learning in Spiking Neural Networks with Phase-Change Memory Synapses |
Q64227092 | Expert knowledge-infused deep learning for automatic lung nodule detection |
Q92114640 | Explainable Deep Learning for Augmentation of Small RNA Expression Profiles |
Q98184124 | Explainable artificial intelligence model to predict acute critical illness from electronic health records |
Q64263710 | Explaining the unique nature of individual gait patterns with deep learning |
Q92460982 | Exploiting Graphoelements and Convolutional Neural Networks with Long Short Term Memory for Classification of the Human Electroencephalogram |
Q57799728 | Exploiting deep learning and volunteered geographic information for mapping buildings in Kano, Nigeria |
Q97548432 | Exploiting defective RRAM array as synapses of HTM spatial pooler with boost-factor adjustment scheme for defect-tolerant neuromorphic systems |
Q90683202 | Exploiting sequence labeling framework to extract document-level relations from biomedical texts |
Q58257309 | Exploiting the Use of Convolutional Neural Networks for Localization in Indoor Environments |
Q41958990 | Explorability and the origin of network sparsity in living systems |
Q89965957 | Exploring Deep Learning for Complex Trait Genomic Prediction in Polyploid Outcrossing Species |
Q90756894 | Exploring Tunable Hyperparameters for Deep Neural Networks with Industrial ADME Data Sets |
Q92974127 | Exploring spatiotemporal neural dynamics of the human visual cortex |
Q92608311 | Exploring the Correlation between the Cognitive Benefits of Drug Combinations in a Clinical Database and the Efficacies of the Same Drug Combinations Predicted from a Computational Model |
Q90093382 | Exploring the computational methods for protein-ligand binding site prediction |
Q90065453 | Exploring the effect of hypertension on retinal microvasculature using deep learning on East Asian population |
Q101120999 | Exploring the long-term changes in the Madden Julian Oscillation using machine learning |
Q45944280 | Extended dynamic mode decomposition with dictionary learning: A data-driven adaptive spectral decomposition of the Koopman operator. |
Q89722860 | Extended-range statistical ENSO prediction through operator-theoretic techniques for nonlinear dynamics |
Q90090384 | External validation of a convolutional neural network artificial intelligence tool to predict malignancy in pulmonary nodules |
Q58598572 | Extracting Grain Orientations from EBSD Patterns of Polycrystalline Materials Using Convolutional Neural Networks |
Q36994579 | Extracting a low-dimensional description of multiple gene expression datasets reveals a potential driver for tumor-associated stroma in ovarian cancer |
Q110950273 | Extracting automata from neural networks using active learning |
Q60940065 | Extraction of Information Related to Adverse Drug Events from Electronic Health Record Notes: Design of an End-to-End Model Based on Deep Learning |
Q64058983 | Extraction of Multi-Labelled Movement Information from the Raw HD-sEMG Image with Time-Domain Depth |
Q99618244 | Extraction of Retinal Layers Through Convolution Neural Network (CNN) in an OCT Image for Glaucoma Diagnosis |
Q38610961 | Extreme Learning Machine Framework for Risk Stratification of Fatty Liver Disease Using Ultrasound Tissue Characterization |
Q36279846 | Extreme learning machine based optimal embedding location finder for image steganography. |
Q33636096 | FEELnc: a tool for long non-coding RNA annotation and its application to the dog transcriptome |
Q57046995 | FINDSITE: A New Approach for Virtual Ligand Screening of Proteins and Virtual Target Screening of Biomolecules |
Q113433689 | FLOM: Toward Efficient Task Processing in Big Data with Federated Learning |
Q61448092 | FLOating-Window Projective Separator (FloWPS): A Data Trimming Tool for Support Vector Machines (SVM) to Improve Robustness of the Classifier |
Q38907744 | FPGA-Based Stochastic Echo State Networks for Time-Series Forecasting |
Q101045864 | False memories for scenes using the DRM paradigm |
Q93039375 | Fast and robust active neuron segmentation in two-photon calcium imaging using spatiotemporal deep learning |
Q90945649 | Fault Detection and Diagnosis Using Combined Autoencoder and Long Short-Term Memory Network |
Q30379777 | Fault Diagnosis for Rotating Machinery Using Vibration Measurement Deep Statistical Feature Learning |
Q111519341 | Fault Line Selection Method Based on Transfer Learning Depthwise Separable Convolutional Neural Network |
Q59131058 | Fault Localization Analysis Based on Deep Neural Network |
Q58696911 | Feasibility Study of Advanced Neural Networks Applied to sEMG-Based Force Estimation |
Q57494934 | Feasibility of Deep Learning-Based PET/MR Attenuation Correction in the Pelvis Using Only Diagnostic MR Images |
Q61808731 | Feasibility of Image Registration for Ultrasound-Guided Prostate Radiotherapy Based on Similarity Measurement by a Convolutional Neural Network |
Q92461920 | Feasibility of fully automated classification of whole slide images based on deep learning |
Q64954460 | Feature Enhancement in Visually Impaired Images. |
Q50274155 | Feature Representations for Neuromorphic Audio Spike Streams. |
Q54936651 | Feature-Based Representation Improves Color Decomposition and Nuclear Detection Using a Convolutional Neural Network. |
Q38369181 | Feature-Free Activity Classification of Inertial Sensor Data With Machine Vision Techniques: Method, Development, and Evaluation. |
Q93195748 | Feature-specific neural reactivation during episodic memory |
Q39140311 | Fifty years of computer analysis in chest imaging: rule-based, machine learning, deep learning |
Q41094297 | Filopodia: A Rapid Structural Plasticity Substrate for Fast Learning |
Q94682642 | Finding the mutations that drive resistance |
Q47150304 | Fine-grained recognition of plants from images |
Q64955867 | Fine-tuning Convolutional Neural Networks for Biomedical Image Analysis: Actively and Incrementally. |
Q38379394 | Fixed versus mixed RSA: Explaining visual representations by fixed and mixed feature sets from shallow and deep computational models |
Q55265177 | Fonduer: Knowledge Base Construction from Richly Formatted Data. |
Q36046896 | Forecast Modelling via Variations in Binary Image-Encoded Information Exploited by Deep Learning Neural Networks |
Q55492912 | Forecasting Root-Zone Electrical Conductivity of Nutrient Solutions in Closed-Loop Soilless Cultures via a Recurrent Neural Network Using Environmental and Cultivation Information. |
Q33626610 | Forecasting influenza in Hong Kong with Google search queries and statistical model fusion |
Q124694816 | Forecasting peak energy demand for smart buildings |
Q92401941 | Forecasting stock prices with long-short term memory neural network based on attention mechanism |
Q58606788 | Forensic age estimation for pelvic X-ray images using deep learning |
Q57211471 | Four Major South Korea's Rivers Using Deep Learning Models |
Q91924860 | Framework for the Development of Data-Driven Mamdani-Type Fuzzy Clinical Decision Support Systems |
Q89847185 | From inert matter to the global society life as multi-level networks of processes |
Q99579712 | From leaf to label: A robust automated workflow for stomata detection |
Q113698131 | From motor control to team play in simulated humanoid football |
Q93051998 | From observing to predicting single-cell structure and function with high-throughput/high-content microscopy |
Q90748458 | Fully Automated Convolutional Neural Network Method for Quantification of Breast MRI Fibroglandular Tissue and Background Parenchymal Enhancement |
Q38919274 | Fully Automated Deep Learning System for Bone Age Assessment. |
Q93353530 | Fully Automated Delineation of Gross Tumor Volume for Head and Neck Cancer on PET-CT Using Deep Learning: A Dual-Center Study |
Q57814171 | Fully Automated Echocardiogram Interpretation in Clinical Practice |
Q55110236 | Fully Convolutional Neural Networks Improve Abdominal Organ Segmentation. |
Q55456749 | Fully automated detection and segmentation of meningiomas using deep learning on routine multiparametric MRI. |
Q50016355 | Fully automated detection of breast cancer in screening MRI using convolutional neural networks. |
Q46906663 | Fully automated quantitative cephalometry using convolutional neural networks |
Q47189138 | Fully automated segmentation of the left ventricle in cine cardiac MRI using neural network regression |
Q87193199 | Fully hardware-implemented memristor convolutional neural network |
Q98884099 | Fully-Connected Neural Networks with Reduced Parameterization for Predicting Histological Types of Lung Cancer from Somatic Mutations |
Q90212560 | Functional interpretation of genetic variants using deep learning predicts impact on chromatin accessibility and histone modification |
Q58606865 | Fundus photograph-based deep learning algorithms in detecting diabetic retinopathy |
Q58702927 | Fusing multi-scale information in convolution network for MR image super-resolution reconstruction |
Q92874742 | Fusion of Video and Inertial Sensing for Deep Learning-Based Human Action Recognition |
Q64928759 | Fusion of deep learning models of MRI scans, Mini-Mental State Examination, and logical memory test enhances diagnosis of mild cognitive impairment. |
Q97517767 | Future possibilities for artificial intelligence in the practical management of hypertension |
Q112583331 | GNINA 1.0: molecular docking with deep learning |
Q47224176 | GRAM-CNN: a deep learning approach with local context for named entity recognition in biomedical text |
Q94599530 | GaiTRec, a large-scale ground reaction force dataset of healthy and impaired gait |
Q84348064 | Galaxy Zoo: probabilistic morphology through Bayesian CNNs and active learning |
Q46237755 | Gene Prediction in Metagenomic Fragments with Deep Learning |
Q89218047 | Generalizable and Scalable Visualization of Single-Cell Data Using Neural Networks |
Q111440639 | Generalization enhancement of artificial neural network for turbulence closure by feature selection |
Q61888656 | Generalization guides human exploration in vast decision spaces. |
Q99584782 | Generating Ampicillin-Level Antimicrobial Peptides with Activity-Aware Generative Adversarial Networks |
Q64074514 | Generating retinal flow maps from structural optical coherence tomography with artificial intelligence |
Q97074006 | Generating segmentation masks of herbarium specimens and a data set for training segmentation models using deep learning |
Q98169429 | Generative Adversarial Domain Adaptation for Nucleus Quantification in Images of Tissue Immunohistochemically Stained for Ki-67 |
Q60309749 | Generative Adversarial Networks for the Creation of Realistic Artificial Brain Magnetic Resonance Images |
Q90178977 | Generative Deep Neural Networks for Inverse Materials Design Using Backpropagation and Active Learning |
Q45944255 | Generative Recurrent Networks for De Novo Drug Design. |
Q90208144 | Generic predictions of output probability based on complexities of inputs and outputs |
Q89920094 | Genetic Modifiers and Rare Mendelian Disease |
Q55242430 | Genome-wide prediction of cis-regulatory regions using supervised deep learning methods. |
Q36991317 | Genome-wide prediction using Bayesian additive regression trees |
Q60205060 | Geometric Convolutional Neural Network for Analyzing Surface-Based Neuroimaging Data |
Q64273429 | Gesture Prediction Using Wearable Sensing Systems with Neural Networks for Temporal Data Analysis |
Q37413999 | Gesture recognition by instantaneous surface EMG images |
Q52565451 | Ghost Imaging Based on Deep Learning. |
Q47264097 | Glandular Morphometrics for Objective Grading of Colorectal Adenocarcinoma Histology Images. |
Q102633530 | Gradient-Based Attribution Methods |
Q58643651 | Grammars for Games: A Gradient-Based, Game-Theoretic Framework for Optimization in Deep Learning |
Q72988805 | Grandmaster level in StarCraft II using multi-agent reinforcement learning |
Q90455316 | Graph Convolutional Neural Networks for Predicting Drug-Target Interactions |
Q91869147 | Graph Embedding Deep Learning Guides Microbial Biomarkers' Identification |
Q64065596 | Group Lasso Regularized Deep Learning for Cancer Prognosis from Multi-Omics and Clinical Features |
Q98613228 | Growth monitoring of greenhouse lettuce based on a convolutional neural network |
Q92824837 | Guided Wave-Convolutional Neural Network Based Fatigue Crack Diagnosis of Aircraft Structures |
Q63433049 | Hallucinations and Strong Priors |
Q104478942 | Handcrafted versus deep learning radiomics for prediction of cancer therapy response |
Q41437494 | Hardware-Efficient On-line Learning through Pipelined Truncated-Error Backpropagation in Binary-State Networks |
Q98946202 | Harnessing a multi-dimensional fibre laser using genetic wavefront shaping |
Q92495692 | Health outcome prediction using multiple perturbations |
Q55129886 | Hello World Deep Learning in Medical Imaging. |
Q92504469 | HetEnc: a deep learning predictive model for multi-type biological dataset |
Q92642943 | Heuristic recurrent algorithms for photonic Ising machines |
Q89708201 | Hierarchical Organization of Functional Brain Networks Revealed by Hybrid Spatiotemporal Deep Learning |
Q57565649 | Hierarchical Stochastic Neighbor Embedding |
Q89847176 | Hierarchy and levels: analysing networks to study mechanisms in molecular biology |
Q64924876 | High Throughput Quantitative Metallography for Complex Microstructures Using Deep Learning: A Case Study in Ultrahigh Carbon Steel. |
Q64124974 | High precision in protein contact prediction using fully convolutional neural networks and minimal sequence features |
Q64927575 | High precision protein functional site detection using 3D convolutional neural networks. |
Q35889085 | High-Content Analysis of Breast Cancer Using Single-Cell Deep Transfer Learning |
Q89879399 | High-Density Surface EMG-Based Gesture Recognition Using a 3D Convolutional Neural Network |
Q91556037 | High-Resolution Motor State Detection in Parkinson's Disease Using Convolutional Neural Networks |
Q40411982 | High-Throughput Classification of Radiographs Using Deep Convolutional Neural Networks |
Q47776412 | High-fidelity phenotyping: richness and freedom from bias |
Q92325811 | High-quality MS/MS spectrum prediction for data-dependent and data-independent acquisition data analysis |
Q92431822 | High-resolution dynamic inversion imaging with motion-aberrations-free using optical flow learning networks |
Q90132332 | High-resolution limited-angle phase tomography of dense layered objects using deep neural networks |
Q92761870 | High-speed Intraoperative Assessment of Breast Tumor Margins by Multimodal Ultrasound and Photoacoustic Tomography |
Q59795983 | High-throughput brain activity mapping and machine learning as a foundation for systems neuropharmacology |
Q89435099 | High-throughput imaging flow cytometry by optofluidic time-stretch microscopy |
Q58756082 | High-throughput ovarian follicle counting by an innovative deep learning approach |
Q36343501 | High-throughput, label-free, single-cell, microalgal lipid screening by machine-learning-equipped optofluidic time-stretch quantitative phase microscopy. |
Q41257374 | Holographic deep learning for rapid optical screening of anthrax spores |
Q99616649 | Hourly 5-km surface total and diffuse solar radiation in China, 2007-2018 |
Q91638125 | How Artificial Intelligence Can Help Us Understand Human Creativity |
Q91724544 | How Big Data and High-performance Computing Drive Brain Science |
Q90046670 | How does mobility help distributed systems compute? |
Q89999305 | How to develop machine learning models for healthcare |
Q92082607 | Human Activity Recognition Using Inertial Sensors in a Smartphone: An Overview |
Q52319440 | Human Activity Recognition from Body Sensor Data using Deep Learning. |
Q89533032 | Human body-fluid proteome: quantitative profiling and computational prediction |
Q104798987 | Human locomotion with reinforcement learning using bioinspired reward reshaping strategies |
Q34504846 | Human-level concept learning through probabilistic program induction |
Q37240979 | Humans and Deep Networks Largely Agree on Which Kinds of Variation Make Object Recognition Harder. |
Q64063142 | Humans can decipher adversarial images |
Q50042264 | Humans quickly learn to blink strategically in response to environmental task demands. |
Q57068955 | Hunting for Organic Molecules with Artificial Intelligence: Molecules Optimized for Desired Excitation Energies |
Q31156988 | Hybrid Network Model for "Deep Learning" of Chemical Data: Application to Antimicrobial Peptides |
Q89781763 | Hybrid Network with Attention Mechanism for Detection and Location of Myocardial Infarction Based on 12-Lead Electrocardiogram Signals |
Q58771246 | Hybrid optical-electronic convolutional neural networks with optimized diffractive optics for image classification |
Q58722228 | Hyperspectral Image Classification with Capsule Network Using Limited Training Samples |
Q92068735 | IMPContact: An Interhelical Residue Contact Prediction Method |
Q30376610 | IPMiner: hidden ncRNA-protein interaction sequential pattern mining with stacked autoencoder for accurate computational prediction |
Q40441785 | ISSLS PRIZE IN BIOENGINEERING SCIENCE 2017: Automation of reading of radiological features from magnetic resonance images (MRIs) of the lumbar spine without human intervention is comparable with an expert radiologist. |
Q35959296 | Ideal Binocular Disparity Detectors Learned Using Independent Subspace Analysis on Binocular Natural Image Pairs |
Q91386709 | Identification of 12 cancer types through genome deep learning |
Q57191809 | Identification of Antioxidant Proteins With Deep Learning From Sequence Information |
Q92616359 | Identification of Tomato Disease Types and Detection of Infected Areas Based on Deep Convolutional Neural Networks and Object Detection Techniques |
Q47227968 | Identification of double-yolked duck egg using computer vision |
Q92283784 | Identification of infectious disease-associated host genes using machine learning techniques |
Q89777934 | Identification of prognostic immune-related genes in the tumor microenvironment of endometrial cancer |
Q55175613 | Identification of usual interstitial pneumonia pattern using RNA-Seq and machine learning: challenges and solutions. |
Q42375276 | Identify Huntington's disease associated genes based on restricted Boltzmann machine with RNA-seq data. |
Q90035757 | Identifying Acute Low Back Pain Episodes in Primary Care Practice From Clinical Notes: Observational Study |
Q52323602 | Identifying Patients with Atrioventricular Septal Defect in Down Syndrome Populations by Using Self-Normalizing Neural Networks and Feature Selection. |
Q108261340 | Identifying Planetary Transit Candidates in TESS Full-frame Image Light Curves via Convolutional Neural Networks |
Q89964551 | Identifying Schizophrenia Using Structural MRI With a Deep Learning Algorithm |
Q91165015 | Identifying Structure-Property Relationships through SMILES Syntax Analysis with Self-Attention Mechanism |
Q90385105 | Identifying brain network topology changes in task processes and psychiatric disorders |
Q97904869 | Identifying critical nodes in temporal networks by network embedding |
Q90005371 | Identifying floating plastic marine debris using a deep learning approach |
Q92749975 | Identifying nonlinear dynamical systems via generative recurrent neural networks with applications to fMRI |
Q90028193 | Identifying relations of medications with adverse drug events using recurrent convolutional neural networks and gradient boosting |
Q57793748 | Identifying substance use risk based on deep neural networks and Instagram social media data |
Q52719804 | Identifying tumor in pancreatic neuroendocrine neoplasms from Ki67 images using transfer learning. |
Q57186454 | Idiosyncratic, Retinotopic Bias in Face Identification Modulated by Familiarity |
Q102075499 | If deep learning is the answer, what is the question? |
Q99248511 | Illuminating the dark spaces of healthcare with ambient intelligence |
Q55222696 | Illusory Motion Reproduced by Deep Neural Networks Trained for Prediction. |
Q30360773 | Image Classification Using Biomimetic Pattern Recognition with Convolutional Neural Networks Features. |
Q92405631 | Image Processing-Based Detection of Pipe Corrosion Using Texture Analysis and Metaheuristic-Optimized Machine Learning Approach |
Q90658341 | Image analysis and artificial intelligence in infectious disease diagnostics |
Q62495666 | Image interpretation above and below the object level |
Q55518640 | Image set for deep learning: field images of maize annotated with disease symptoms. |
Q38980634 | Image-based surrogate biomarkers for molecular subtypes of colorectal cancer |
Q39392711 | Imaging of anticancer drug action in single cells |
Q89936679 | Imaging research in fibrotic lung disease; applying deep learning to unsolved problems |
Q38786103 | Imagining the future of bioimage analysis |
Q55076916 | Imbalanced amplification: A mechanism of amplification and suppression from local imbalance of excitation and inhibition in cortical circuits. |
Q57470007 | Impact of Deep Learning Assistance on the Histopathologic Review of Lymph Nodes for Metastatic Breast Cancer |
Q90095125 | Impact of a deep learning assistant on the histopathologic classification of liver cancer |
Q104495276 | Impact of data on generalization of AI for surgical intelligence applications |
Q62494402 | Implementation of deep neural networks to count dopamine neurons in substantia nigra |
Q55139402 | Implementation of multilayer perceptron network with highly uniform passive memristive crossbar circuits. |
Q99581977 | Implementation strategy of a CNN model affects the performance of CT assessment of EGFR mutation status in lung cancer patients |
Q114871951 | Implementing State-of-the-Art Deep Learning Approaches for Archaeological Object Detection in Remotely-Sensed Data: The Results of Cross-Domain Collaboration |
Q92884903 | Improved Classification of Blood-Brain-Barrier Drugs Using Deep Learning |
Q89967117 | Improved Prediction of Aqueous Solubility of Novel Compounds by Going Deeper With Deep Learning |
Q91976703 | Improved prediction of brain age using multimodal neuroimaging data |
Q30360619 | Improving EEG-Based Driver Fatigue Classification Using Sparse-Deep Belief Networks. |
Q89799101 | Improving Oral Cancer Outcomes with Imaging and Artificial Intelligence |
Q92720701 | Improving PET Imaging Acquisition and Analysis With Machine Learning: A Narrative Review With Focus on Alzheimer's Disease and Oncology |
Q62607754 | Improving Precipitation Estimation Using Convolutional Neural Network |
Q42696766 | Improving Protein Fold Recognition by Extracting Fold-specific Features from Predicted Residue-residue Contacts |
Q92528815 | Improving Stockline Detection of Radar Sensor Array Systems in Blast Furnaces Using a Novel Encoder-Decoder Architecture |
Q51791713 | Improving Visual Relationship Detection Using Semantic Modeling of Scene Descriptions |
Q64262201 | Improving fiducial and prostate capsule visualization for radiotherapy planning using MRI |
Q60045356 | Improving palliative care with deep learning |
Q50356707 | Improving prediction of heart transplantation outcome using deep learning techniques. |
Q97540795 | Improving protein solubility and activity by introducing small peptide tags designed with machine learning models |
Q39177512 | Improving scoring-docking-screening powers of protein-ligand scoring functions using random forest |
Q91892580 | Improving the CONTES method for normalizing biomedical text entities with concepts from an ontology with (almost) no training data |
Q92050533 | Improving the Quantification of DNA Sequences Using Evolutionary Information Based on Deep Learning |
Q64123683 | Improving the learning of chemical-protein interactions from literature using transfer learning and specialized word embeddings |
Q36289441 | Imputation for transcription factor binding predictions based on deep learning |
Q50420418 | In Silico Prediction of Chemical Toxicity for Drug Design Using Machine Learning Methods and Structural Alerts. |
Q61808535 | In silico identification of critical proteins associated with learning process and immune system for Down syndrome |
Q92527329 | In silico spectral libraries by deep learning facilitate data-independent acquisition proteomics |
Q55526653 | In silico toxicology: comprehensive benchmarking of multi-label classification methods applied to chemical toxicity data. |
Q99565633 | In vivo identification of apoptotic and extracellular vesicle-bound live cells using image-based deep learning |
Q92445942 | In-Vivo and Ex-Vivo Tissue Analysis through Hyperspectral Imaging Techniques: Revealing the Invisible Features of Cancer |
Q40493152 | In-depth tissue profiling using multiplexed immunohistochemical consecutive staining on single slide |
Q92867793 | In-vivo full-field measurement of microcirculatory blood flow velocity based on intelligent object identification |
Q92237829 | Inception Modules Enhance Brain Tumor Segmentation |
Q106645058 | Incorporating Machine Learning into Established Bioinformatics Frameworks |
Q45946974 | Incorporating deep learning with convolutional neural networks and position specific scoring matrices for identifying electron transport proteins. |
Q92402803 | Indicators and Criteria of Consciousness in Animals and Intelligent Machines: An Inside-Out Approach |
Q103836807 | Inference in artificial intelligence with deep optics and photonics |
Q55054337 | Inference of cell type specific regulatory networks on mammalian lineages. |
Q52719851 | Inference of the Human Polyadenylation Code. |
Q39441684 | Inferring brain-computational mechanisms with models of activity measurements |
Q49957530 | Inferring low-dimensional microstructure representations using convolutional neural networks. |
Q59142939 | Information Integration from Distributed Threshold-Based Interactions |
Q55662441 | Information-Based Medicine in Glioma Patients: A Clinical Perspective. |
Q89977783 | Inland Lakes Mapping for Monitoring Water Quality Using a Detail/Smoothing-Balanced Conditional Random Field Based on Landsat-8/Levels Data |
Q52579155 | Innate Immunity in the Persistent Inflammation, Immunosuppression, and Catabolism Syndrome and Its Implications for Therapy. |
Q92445362 | Innovative MRI Techniques in Neuroimaging Approaches for Cerebrovascular Diseases and Vascular Cognitive Impairment |
Q60937079 | Insect Detection and Classification Based on an Improved Convolutional Neural Network |
Q61136318 | Insightful classification of crystal structures using deep learning |
Q64993389 | Insights and approaches using deep learning to classify wildlife. |
Q108126745 | InstantDL: an easy-to-use deep learning pipeline for image segmentation and classification |
Q92127840 | Integrate multi-omics data with biological interaction networks using Multi-view Factorization AutoEncoder (MAE) |
Q36230402 | Integrated Strategy Improves the Prediction Accuracy of miRNA in Large Dataset. |
Q109286739 | Integrating Contextual Knowledge to Visual Features for Fine Art Classification |
Q96303693 | Integrating High-Throughput Phenotyping and Statistical Genomic Methods to Genetically Improve Longitudinal Traits in Crops |
Q57433970 | Integrating Real-Time Drawing and Writing Diagnostic Models: An Evidence-Centered Design Framework for Multimodal Science Assessment |
Q60932340 | Integrating camera imagery, crowdsourcing, and deep learning to improve high-frequency automated monitoring of snow at continental-to-global scales |
Q61804804 | Integrating shortest dependency path and sentence sequence into a deep learning framework for relation extraction in clinical text |
Q64118560 | Integration of A Deep Learning Classifier with A Random Forest Approach for Predicting Malonylation Sites |
Q90266297 | Integration of Machine Learning Methods to Dissect Genetically Imputed Transcriptomic Profiles in Alzheimer's Disease |
Q90079575 | Intelligent Identification for Rock-Mineral Microscopic Images Using Ensemble Machine Learning Algorithms |
Q92637194 | Intelligent Object Recognition of Urban Water Bodies Based on Deep Learning for Multi-Source and Multi-Temporal High Spatial Resolution Remote Sensing Imagery |
Q92423261 | Intelligent Rapid Adaptive Offloading Algorithm for Computational Services in Dynamic Internet of Things System |
Q90912566 | Intelligent metasurface imager and recognizer |
Q64912113 | Intelligently chosen interventions have potential to outperform the diode bridge in power conditioning. |
Q41621102 | Inter-Patient ECG Heartbeat Classification with Temporal VCG Optimized by PSO. |
Q28602093 | Interactive machine learning for health informatics: when do we need the human-in-the-loop? |
Q42697019 | Internet-based computer technology on radiotherapy |
Q80446315 | Interpretable deep learning for guided microstructure-property explorations in photovoltaics |
Q40969592 | Interpreting BOLD: towards a dialogue between cognitive and cellular neuroscience |
Q90484348 | Interpreting Deep Learning Features for Myoelectric Control: A Comparison With Handcrafted Features |
Q89890691 | Into the Black Box: What Can Machine Learning Offer Environmental Health Research? |
Q62494774 | Intracellular Dynamics in Cuneate Nucleus Neurons Support Self-Stabilizing Learning of Generalizable Tactile Representations |
Q64115873 | Introduction to Digital Image Analysis in Whole-slide Imaging: A White Paper from the Digital Pathology Association |
Q58886292 | Introduction to MAchine Learning & Knowledge Extraction (MAKE) |
Q110950115 | Introspective analysis of convolutional neural networks for improving discrimination performance and feature visualisation |
Q47289174 | Invariant recognition drives neural representations of action sequences |
Q55398918 | Inverse Piezoresistive Nanocomposite Sensors for Identifying Human Sitting Posture. |
Q58250031 | Inverse statistical problems: from the inverse Ising problem to data science |
Q106825135 | Inversion of vehicle-induced signals based on seismic interferometry and recurrent neural networks |
Q58102856 | Investigating a Dictionary-Based Non-negative Matrix Factorization in Superimposed Digits Classification Tasks |
Q92693334 | Investigating systematic bias in brain age estimation with application to post-traumatic stress disorders |
Q108918062 | Investigation of heterogeneity sources for occupational task recognition via transfer learning |
Q39666695 | Investigation of rat exploratory behavior via evolving artificial neural networks. |
Q98729645 | Is Artificial Intelligence Better Than Human Clinicians in Predicting Patient Outcomes? |
Q94550456 | Isocitrate dehydrogenase (IDH) status prediction in histopathology images of gliomas using deep learning |
Q94672493 | Iterative Deep Neighborhood: A Deep Learning Model Which Involves Both Input Data Points and Their Neighbors |
Q36304425 | Iterative free-energy optimization for recurrent neural networks (INFERNO). |
Q57803039 | Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification |
Q92891204 | KekuleScope: prediction of cancer cell line sensitivity and compound potency using convolutional neural networks trained on compound images |
Q94586397 | Knowing me, knowing you: theory of mind in AI |
Q111517965 | Knowledge Distillation: A Method for Making Neural Machine Translation More Efficient |
Q33557718 | Knowledge about the presence or absence of miRNA isoforms (isomiRs) can successfully discriminate amongst 32 TCGA cancer types |
Q111522312 | Knowledge distillation-based deep learning classification network for peripheral blood leukocytes |
Q95940313 | Knowledge synthesis of 100 million biomedical documents augments the deep expression profiling of coronavirus receptors |
Q64903309 | LEARN: Learned Experts' Assessment-Based Reconstruction Network for Sparse-Data CT. |
Q62494522 | Large Scale Semi-Automated Labeling of Routine Free-Text Clinical Records for Deep Learning |
Q90101270 | Large-Scale, High-Resolution Comparison of the Core Visual Object Recognition Behavior of Humans, Monkeys, and State-of-the-Art Deep Artificial Neural Networks |
Q97568594 | Large-scale DNA-based phenotypic recording and deep learning enable highly accurate sequence-function mapping |
Q50045341 | Large-scale Exploration of Neuronal Morphologies Using Deep Learning and Augmented Reality. |
Q39527082 | Large-scale analysis reveals populational contributions of cortical spike rate and synchrony to behavioural functions |
Q57025160 | Large-scale comparative assessment of computational predictors for lysine post-translational modification sites |
Q49860940 | Latent source mining in FMRI via restricted Boltzmann machine. |
Q92649482 | Layer-Wise Relevance Propagation for Explaining Deep Neural Network Decisions in MRI-Based Alzheimer's Disease Classification |
Q50062969 | LeNup: Learning Nucleosome positioning from DNA sequences with improved convolutional neural networks. |
Q91956500 | Leading a digital transformation in the pharmaceutical industry: Reimagining the way we work in global drug development |
Q58183404 | Learn to Track: Deep Learning for Tractography |
Q90032487 | Learn to segment single cells with deep distance estimator and deep cell detector |
Q92101393 | Learned sensing: jointly optimized microscope hardware for accurate image classification |
Q91646930 | Learning Deep Hierarchical Spatial-Spectral Features for Hyperspectral Image Classification Based on Residual 3D-2D CNN |
Q90093766 | Learning Drug Functions from Chemical Structures with Convolutional Neural Networks and Random Forests |
Q42357528 | Learning More, with Less |
Q49384986 | Learning a Local-Variable Model of Aromatic and Conjugated Systems. |
Q47616034 | Learning a variational network for reconstruction of accelerated MRI data. |
Q55950530 | Learning atoms for materials discovery |
Q62719011 | Learning continuous and data-driven molecular descriptors by translating equivalent chemical representations |
Q58088264 | Learning deep similarity metric for 3D MR-TRUS image registration |
Q61444272 | Learning from Longitudinal Data in Electronic Health Record and Genetic Data to Improve Cardiovascular Event Prediction |
Q92427569 | Learning from droplet flows in microfluidic channels using deep neural networks |
Q58747706 | Learning of spatiotemporal patterns in a spiking neural network with resistive switching synapses |
Q94592292 | Learning physical properties of liquid crystals with deep convolutional neural networks |
Q112609311 | Learning protein-ligand binding affinity with atomic environment vectors |
Q38941680 | Learning representation hierarchies by sharing visual features: a computational investigation of Persian character recognition with unsupervised deep learning. |
Q29469983 | Learning representations by back-propagating errors |
Q93081217 | Learning the Orientation of a Loosely-Fixed Wearable IMU Relative to the Body Improves the Recognition Rate of Human Postures and Activities |
Q50466142 | Learning the Structural Vocabulary of a Network. |
Q37739194 | Learning through ferroelectric domain dynamics in solid-state synapses. |
Q52649870 | Learning to Recognize Actions From Limited Training Examples Using a Recurrent Spiking Neural Model. |
Q92998979 | Learning to predict the cosmological structure formation |
Q92314508 | Learning to see stuff |
Q93073876 | Learning unsupervised feature representations for single cell microscopy images with paired cell inpainting |
Q92582883 | Learning with Known Operators reduces Maximum Training Error Bounds |
Q92621533 | Left Ventricle Segmentation and Quantification from Cardiac Cine MR Images via Multi-task Learning |
Q64930661 | Lessons Learned From GWAS of Asthma. |
Q56532786 | Letter perception emerges from unsupervised deep learning and recycling of natural image features |
Q91869700 | Leveraging deep learning to understand health beliefs about the Human Papillomavirus Vaccine from social media |
Q89999289 | Leveraging machine vision in cell-based diagnostics to do more with less |
Q47128167 | Leveraging uncertainty information from deep neural networks for disease detection. |
Q59805183 | Lifelong Learning of Spatiotemporal Representations With Dual-Memory Recurrent Self-Organization |
Q89504313 | Lifestyle Disease Surveillance Using Population Search Behavior: Feasibility Study |
Q50531756 | Lightweight Active Object Retrieval with Weak Classifiers. |
Q58122230 | Lipidomics in Major Depressive Disorder |
Q52577518 | LiteNet: Lightweight Neural Network for Detecting Arrhythmias at Resource-Constrained Mobile Devices. |
Q57460087 | Literature-based automated discovery of tumor suppressor p53 phosphorylation and inhibition by NEK2 |
Q50432907 | Local Dynamics in Trained Recurrent Neural Networks. |
Q92442257 | Local Epigenomic Data are more Informative than Local Genome Sequence Data in Predicting Enhancer-Promoter Interactions Using Neural Networks |
Q40986006 | Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities |
Q47128423 | Long-term prognosis of young breast cancer patients (≤40 years) who did not receive adjuvant systemic treatment: protocol for the PARADIGM initiative cohort study. |
Q57130870 | Lost in translation |
Q92004132 | Low-Dose CT Screening for Lung Cancer: Evidence from 2 Decades of Study |
Q38722075 | Low-Dose CT with a Residual Encoder-Decoder Convolutional Neural Network (RED-CNN). |
Q64899014 | Low-Rank Deep Convolutional Neural Network for Multitask Learning. |
Q55239970 | Low-abundant bacteria drive compositional changes in the gut microbiota after dietary alteration. |
Q37671948 | Low-dose CT via convolutional neural network |
Q49515162 | Low-dose x-ray tomography through a deep convolutional neural network. |
Q64062469 | Lumbar muscle and vertebral bodies segmentation of chemical shift encoding-based water-fat MRI: the reference database MyoSegmenTUM spine |
Q112692362 | Lunar impact crater identification and age estimation with Chang'E data by deep and transfer learning |
Q64263977 | Lung cancer diagnosis with quantitative DIC microscopy and a deep convolutional neural network |
Q89167908 | MIN1PIPE: A Miniscope 1-Photon-Based Calcium Imaging Signal Extraction Pipeline |
Q90193650 | MLC-LSTM: Exploiting the Spatiotemporal Correlation between Multi-Level Weather Radar Echoes for Echo Sequence Extrapolation |
Q38963978 | MR-based synthetic CT generation using a deep convolutional neural network method |
Q64075175 | MRCNN: a deep learning model for regression of genome-wide DNA methylation |
Q58099147 | MRI Compatibility: Automatic Brain Shunt Valve Recognition using Feature Engineering and Deep Convolutional Neural Networks |
Q90573236 | Machine Learning Approaches to Improve Three Basic Plant Phenotyping Tasks Using Three-Dimensional Point Clouds |
Q95273285 | Machine Learning Classification of Articular Cartilage Integrity Using Near Infrared Spectroscopy |
Q42281565 | Machine Learning Improves Risk Stratification After Acute Coronary Syndrome |
Q108880003 | Machine Learning Methods That Economists Should Know About |
Q64880801 | Machine Learning Techniques for Chemical Identification Using Cyclic Square Wave Voltammetry. |
Q97524488 | Machine Learning Using Digitized Herbarium Specimens to Advance Phenological Research |
Q40357076 | Machine Learning and Electronic Health Records: A Paradigm Shift |
Q64251772 | Machine Learning and Integrative Analysis of Biomedical Big Data |
Q55428338 | Machine Learning and Radiogenomics: Lessons Learned and Future Directions. |
Q91657354 | Machine Learning based Analytical Framework for Automatic Hyperspectral Raman Analysis of Lithium-ion Battery Electrodes |
Q58886341 | Machine Learning for Health Informatics |
Q64954898 | Machine Learning for Medical Imaging. |
Q47094065 | Machine Learning for Nuclear Mechano-Morphometric Biomarkers in Cancer Diagnosis |
Q58780729 | Machine Learning in Agriculture: A Review |
Q55641967 | Machine Learning in Orthopedics: A Literature Review. |
Q54992768 | Machine Learning in Radiation Oncology: Opportunities, Requirements, and Needs. |
Q62489098 | Machine Learning in Relation to Emergency Medicine Clinical and Operational Scenarios: An Overview |
Q91133321 | Machine Learning of Discriminative Gate Locations for Clinical Diagnosis |
Q33584006 | Machine Learning of Three-dimensional Right Ventricular Motion Enables Outcome Prediction in Pulmonary Hypertension: A Cardiac MR Imaging Study |
Q41204513 | Machine Learning-Assisted Network Inference Approach to Identify a New Class of Genes that Coordinate the Functionality of Cancer Networks |
Q62495870 | Machine Learning-based Virtual Screening and Its Applications to Alzheimer's Drug Discovery: A Review |
Q92108337 | Machine Learning: a New Opportunity for Risk Prediction |
Q89579669 | Machine learning algorithm to predict mortality in patients undergoing continuous renal replacement therapy |
Q97520857 | Machine learning and AI-based approaches for bioactive ligand discovery and GPCR-ligand recognition |
Q39035630 | Machine learning and computer vision approaches for phenotypic profiling |
Q38745469 | Machine learning applications in cell image analysis |
Q45947399 | Machine learning applied to proton radiography of high-energy-density plasmas. |
Q52626724 | Machine learning approaches for large scale classification of produce. |
Q60759037 | Machine learning as a supportive tool to recognize cardiac arrest in emergency calls |
Q56356796 | Machine learning at the energy and intensity frontiers of particle physics |
Q89513933 | Machine learning can predict survival of patients with heart failure from serum creatinine and ejection fraction alone |
Q106211464 | Machine learning for active matter |
Q50421455 | Machine learning for medical ultrasound: status, methods, and future opportunities. |
Q102319739 | Machine learning for metabolic engineering: A review |
Q57249002 | Machine learning for tracking illegal wildlife trade on social media |
Q99710874 | Machine learning identifies scale-free properties in disordered materials |
Q64086771 | Machine learning in a data-limited regime: Augmenting experiments with synthetic data uncovers order in crumpled sheets |
Q90569797 | Machine learning in cardiovascular magnetic resonance: basic concepts and applications |
Q54373716 | Machine learning in chemoinformatics and drug discovery. |
Q58765701 | Machine learning in manufacturing: advantages, challenges, and applications |
Q89677582 | Machine learning in nephrology: scratching the surface |
Q60925834 | Machine learning methodologies versus cardiovascular risk scores, in predicting disease risk |
Q45943388 | Machine learning to detect signatures of disease in liquid biopsies - a user's guide. |
Q58601964 | Machine learning to support social media empowered patients in cancer care and cancer treatment decisions |
Q91900220 | Machine learning, practically speaking |
Q45943723 | Machine learning, social learning and the governance of self-driving cars. |
Q37182897 | Machine learning, statistical learning and the future of biological research in psychiatry |
Q62495729 | Machine learning: from radiomics to discovery and routine |
Q90390510 | Machine-based detection and classification for bone marrow aspirate differential counts: initial development focusing on nonneoplastic cells |
Q63349875 | Machine-learned multi-system surrogate models for materials prediction |
Q92419245 | Machine-learning Approach for the Development of a Novel Predictive Model for the Diagnosis of Hepatocellular Carcinoma |
Q59767015 | Machine-learning Approaches to Exoplanet Transit Detection and Candidate Validation in Wide-field Ground-based Surveys |
Q57776256 | Machine-learning-based atom probe crystallographic analysis |
Q36229691 | Macromolecular target prediction by self-organizing feature maps |
Q89583929 | Macroscopic gradients of synaptic excitation and inhibition in the neocortex |
Q58122635 | Making Expert Decisions Easier to Fathom: On the Explainability of Visual Object Recognition Expertise |
Q123351255 | MantaID: a machine learning–based tool to automate the identification of biological database IDs |
Q62266262 | Mapping mesoscopic phase evolution during E-beam induced transformations via deep learning of atomically resolved images |
Q91688213 | Margin-Based Pareto Ensemble Pruning: An Ensemble Pruning Algorithm That Learns to Search Optimized Ensembles |
Q37537297 | Market Model for Resource Allocation in Emerging Sensor Networks with Reinforcement Learning. |
Q28005460 | Mastering the game of Go with deep neural networks and tree search |
Q42209359 | Mastering the game of Go without human knowledge |
Q113308227 | MatDL: A Lightweight Deep Learning Library in MATLAB |
Q90285011 | Materials Science in the AI age: high-throughput library generation, machine learning and a pathway from correlations to the underpinning physics |
Q62489088 | Mathematical Modeling in Ruminant Nutrition: Approaches and Paradigms, Extant Models, and Thoughts for Upcoming Predictive Analytics |
Q93333202 | Maximizing the Utility of Cancer Transcriptomic Data |
Q47357009 | Mean-field message-passing equations in the Hopfield model and its generalizations |
Q64104011 | Measuring social, environmental and health inequalities using deep learning and street imagery |
Q96439256 | Measuring the Quality of Explanations: The System Causability Scale (SCS): Comparing Human and Machine Explanations |
Q57294881 | Medical Image Analysis using Convolutional Neural Networks: A Review |
Q93087718 | Medical Image Segmentation Algorithm Based on Feedback Mechanism CNN |
Q89547818 | Medical Image Synthesis with Deep Convolutional Adversarial Networks |
Q38997187 | Medical Imaging Informatics |
Q64076989 | Medication Adherence Prediction Through Online Social Forums: A Case Study of Fibromyalgia |
Q49361737 | Medicina ex Machina: Machine Learning in der Medizin. |
Q91704046 | Meeting brain-computer interface user performance expectations using a deep neural network decoding framework |
Q90776440 | Memory devices and applications for in-memory computing |
Q63387460 | Memory effects of climate and vegetation affecting net ecosystem CO2 fluxes in global forests |
Q59798277 | Memory-Efficient Deep Learning on a SpiNNaker 2 Prototype |
Q50450669 | Memristive Devices with Highly Repeatable Analog States Boosted by Graphene Quantum Dots. |
Q92446453 | Memristive and CMOS Devices for Neuromorphic Computing |
Q89861370 | Memristors for Neuromorphic Circuits and Artificial Intelligence Applications |
Q28597594 | MetMaxStruct: A Tversky-Similarity-Based Strategy for Analysing the (Sub)Structural Similarities of Drugs and Endogenous Metabolites |
Q92457015 | MetaPheno: A critical evaluation of deep learning and machine learning in metagenome-based disease prediction |
Q39061020 | Metabolic systems biology: a brief primer. |
Q40462406 | Metastasis detection from whole slide images using local features and random forests. |
Q60045999 | Methodology to develop machine learning algorithms to improve performance in gastrointestinal endoscopy |
Q92002111 | Methods Used in Computer-Aided Diagnosis for Breast Cancer Detection Using Mammograms: A Review |
Q90402722 | MethylNet: an automated and modular deep learning approach for DNA methylation analysis |
Q108127124 | MichiGAN: sampling from disentangled representations of single-cell data using generative adversarial networks |
Q30366444 | Micro-Doppler Based Classification of Human Aquatic Activities via Transfer Learning of Convolutional Neural Networks |
Q64907788 | Microaneurysm detection in fundus images using a two-step convolutional neural network. |
Q39165998 | Microscopic medical image classification framework via deep learning and shearlet transform |
Q52372699 | Microvessel prediction in H&E Stained Pathology Images using fully convolutional neural networks. |
Q91972045 | MildInt: Deep Learning-Based Multimodal Longitudinal Data Integration Framework |
Q96304855 | Mini Review: Deep Learning for Atrial Segmentation From Late Gadolinium-Enhanced MRIs |
Q99609969 | Mining genetic and transcriptomic data using machine learning approaches in Parkinson's disease |
Q28077947 | Mining textural knowledge in biological images: Applications, methods and trends |
Q36105024 | Mitosis Counting in Breast Cancer: Object-Level Interobserver Agreement and Comparison to an Automatic Method |
Q36062441 | Model Constrained by Visual Hierarchy Improves Prediction of Neural Responses to Natural Scenes |
Q92619222 | Model Free Localization with Deep Neural Architectures by Means of an Underwater WSN |
Q49614642 | Model-Free Prediction of Large Spatiotemporally Chaotic Systems from Data: A Reservoir Computing Approach. |
Q57176812 | Model-guided search for optimal natural-science-category training exemplars: A work in progress |
Q52559193 | Modeling Habitat Suitability of Migratory Birds from Remote Sensing Images Using Convolutional Neural Networks. |
Q91924695 | Modeling and Experimental Study for Online Measurement of Hydraulic Cylinder Micro Leakage Based on Convolutional Neural Network |
Q92072631 | Modeling human intuitions about liquid flow with particle-based simulation |
Q46256125 | Modeling the Temporal Nature of Human Behavior for Demographics Prediction |
Q55249303 | Modelling Peri-Perceptual Brain Processes in a Deep Learning Spiking Neural Network Architecture. |
Q64275692 | Models and Machines: How Deep Learning Will Take Clinical Pharmacology to the Next Level |
Q38782536 | Models of visual categorization |
Q64944433 | Models that learn how humans learn: The case of decision-making and its disorders. |
Q45943917 | Modern drug design: the implication of using artificial neuronal networks and multiple molecular dynamic simulations. |
Q99247424 | Molecular barcoding of native RNAs using nanopore sequencing and deep learning |
Q113505038 | Molecular convolutional neural networks with DNA regulatory circuits |
Q38828100 | Molecular graph convolutions: moving beyond fingerprints. |
Q52328539 | MoleculeNet: a benchmark for molecular machine learning. |
Q90692357 | Monitoring Mixing Processes Using Ultrasonic Sensors and Machine Learning |
Q51335995 | Monitoring the Age of Mosquito Populations Using Near-Infrared Spectroscopy. |
Q58419557 | More bark than bytes? Reflections on 21+ years of geocomputation |
Q61805665 | Multi-Channel 3D Deep Feature Learning for Survival Time Prediction of Brain Tumor Patients Using Multi-Modal Neuroimages |
Q92535511 | Multi-Disease Segmentation of Gliomas and White Matter Hyperintensities in the BraTS Data Using a 3D Convolutional Neural Network |
Q61451316 | Multi-Features Fusion for Fault Diagnosis of Pedal Robot Using Time-Speed Signals |
Q91646829 | Multi-Scale DenseNets-Based Aircraft Detection from Remote Sensing Images |
Q92315521 | Multi-Scale Vehicle Detection for Foreground-Background Class Imbalance with Improved YOLOv2 |
Q47558870 | Multi-Sensor Data Integration Using Deep Learning for Characterization of Defects in Steel Elements |
Q54965021 | Multi-Site Diagnostic Classification of Schizophrenia Using Discriminant Deep Learning with Functional Connectivity MRI. |
Q89619644 | Multi-Task Network Representation Learning |
Q47136371 | Multi-categorical deep learning neural network to classify retinal images: A pilot study employing small database |
Q47555736 | Multi-label Deep Learning for Gene Function Annotation in Cancer Pathways. |
Q42705167 | Multi-layer network utilizing rewarded spike time dependent plasticity to learn a foraging task. |
Q90188915 | Multi-needle Localization with Attention U-Net in US-guided HDR Prostate Brachytherapy |
Q57181817 | Multi-omic and multi-view clustering algorithms: review and cancer benchmark |
Q28822192 | Multi-omics integration accurately predicts cellular state in unexplored conditions for Escherichia coli |
Q92891642 | Multi-phase level set algorithm based on fully convolutional networks (FCN-MLS) for retinal layer segmentation in SD-OCT images with central serous chorioretinopathy (CSC) |
Q90814474 | Multi-resolution convolutional neural networks for inverse problems |
Q57286011 | Multi-resolution speech analysis for automatic speech recognition using deep neural networks: Experiments on TIMIT |
Q57466032 | Multi-scale digital soil mapping with deep learning |
Q57092636 | Multi-stage optimization of a deep model: A case study on ground motion modeling |
Q59796743 | Multiclass Radio Frequency Interference Detection and Suppression for SAR Based on the Single Shot MultiBox Detector |
Q98665188 | Multidimensional processing in the amygdala |
Q90065019 | Multifaceted protein-protein interaction prediction based on Siamese residual RCNN |
Q64116266 | Multiloss Function Based Deep Convolutional Neural Network for Segmentation of Retinal Vasculature into Arterioles and Venules |
Q60494636 | Multimodal Depression Detection: Fusion Analysis of Paralinguistic, Head Pose and Eye Gaze Behaviors |
Q42695729 | Multimodal MR Synthesis via Modality-Invariant Latent Representation |
Q57474454 | Multimodal MRI-based classification of migraine: using deep learning convolutional neural network |
Q92288803 | Multimodal Machine Learning-based Knee Osteoarthritis Progression Prediction from Plain Radiographs and Clinical Data |
Q91578111 | Multimodal deep representation learning for protein interaction identification and protein family classification |
Q93047753 | Multimodal treatment for spinal cord injury: a sword of neuroregeneration upon neuromodulation |
Q57298153 | Multimode optical fiber transmission with a deep learning network |
Q64971767 | Multiorgan structures detection using deep convolutional neural networks. |
Q89496785 | Multiphoton microscopy of the dermoepidermal junction and automated identification of dysplastic tissues with deep learning |
Q58576697 | Multiple Machine Learnings Revealed Similar Predictive Accuracy for Prognosis of PNETs from the Surveillance, Epidemiology, and End Result Database |
Q62746541 | Multiple Resolution Residually Connected Feature Streams for Automatic Lung Tumor Segmentation From CT Images |
Q58692979 | Multiple surface segmentation using convolution neural nets: application to retinal layer segmentation in OCT images |
Q47115102 | Multiplexed computations in retinal ganglion cells of a single type |
Q45945258 | Multivariable and Bayesian Network Analysis of Outcome Predictors in Acute Aneurysmal Subarachnoid Hemorrhage: Review of a Pure Surgical Series in the Postinternational Subarachnoid Aneurysm Trial Era. |
Q110391628 | NPClassifier: A Deep Neural Network-Based Structural Classification Tool for Natural Products |
Q99237663 | NanoReviser: An Error-Correction Tool for Nanopore Sequencing Based on a Deep Learning Algorithm |
Q62496001 | Natural Products for Drug Discovery in the 21st Century: Innovations for Novel Drug Discovery |
Q64280606 | Natural language processing and recurrent network models for identifying genomic mutation-associated cancer treatment change from patient progress notes |
Q114748005 | Natural language processing in toxicology: Delineating adverse outcome pathways and guiding the application of new approach methodologies |
Q57518134 | NeXt for neuro-radiosurgery: A fully automatic approach for necrosis extraction in brain tumor MRI using an unsupervised machine learning technique |
Q64057730 | Net-FLICS: fast quantitative wide-field fluorescence lifetime imaging with compressed sensing - a deep learning approach |
Q47848156 | Network Supervision of Adult Experience and Learning Dependent Sensory Cortical Plasticity |
Q64095462 | Network cloning using DNA barcodes |
Q39261380 | Neural Circuitry of Reward Prediction Error. |
Q92132354 | Neural Computations Underlying Phenomenal Consciousness: A Higher Order Syntactic Thought Theory |
Q48703565 | Neural Decoder for Topological Codes. |
Q47420920 | Neural Encoding and Decoding with Deep Learning for Dynamic Natural Vision. |
Q30391517 | Neural Information Processing in Cognition: We Start to Understand the Orchestra, but Where is the Conductor? |
Q89442816 | Neural Mechanisms of High-Level Vision |
Q60956825 | Neural Network Evolving Algorithm Based on the Triplet Codon Encoding Method |
Q88516000 | Neural encoding of sensory and behavioral complexity in the auditory cortex |
Q59755770 | Neural network analysis of sleep stages enables efficient diagnosis of narcolepsy |
Q55449126 | Neural network control of focal position during time-lapse microscopy of cells. |
Q58793732 | Neural network identification of people hidden from view with a single-pixel, single-photon detector |
Q47827591 | Neural network prediction of severe lower intestinal bleeding and the need for surgical intervention. |
Q64100504 | Neural networks for automatic scoring of arthritis disease activity on ultrasound images |
Q90288644 | Neural networks for protein structure and function prediction and dynamic analysis |
Q45020882 | Neural networks in the future of neuroscience research |
Q60309391 | Neural responses to natural and model-matched stimuli reveal distinct computations in primary and nonprimary auditory cortex |
Q57460111 | Neural-inspired sensors enable sparse, efficient classification of spatiotemporal data |
Q62098040 | Neural-network quantum state tomography |
Q38377458 | Neuro-symbolic representation learning on biological knowledge graphs |
Q30239861 | Neuroblastoma, a Paradigm for Big Data Science in Pediatric Oncology. |
Q90220423 | Neuroimage signature from salient keypoints is highly specific to individuals and shared by close relatives |
Q57134793 | Neuroimaging Research: From Null-Hypothesis Falsification to Out-of-Sample Generalization |
Q64885591 | Neuroimaging of Traumatic Brain Injury. |
Q60044762 | Neuroinspired unsupervised learning and pruning with subquantum CBRAM arrays |
Q104581303 | Neuromorphic Spintronics |
Q58273367 | Neuromorphic computing using non-volatile memory |
Q55384252 | Neuromorphic computing with multi-memristive synapses. |
Q38658162 | Neuromorphic computing with nanoscale spintronic oscillators |
Q89984092 | Neuromorphic nanoelectronic materials |
Q50193416 | Neuronal Activities in the Mouse Visual Cortex Predict Patterns of Sensory Stimuli. |
Q57175803 | Neurorobotics-A Thriving Community and a Promising Pathway Toward Intelligent Cognitive Robots |
Q64107546 | New Deep Learning Genomic-Based Prediction Model for Multiple Traits with Binary, Ordinal, and Continuous Phenotypes |
Q92493764 | New Logic-In-Memory Paradigms: An Architectural and Technological Perspective |
Q38619805 | New approach to generating insights for aging research based on literature mining and knowledge integration |
Q41510651 | New challenge for bionics--brain-inspired computing |
Q90703186 | New perspectives on Solid Earth Geology from Seismic Texture to Cooperative Inversion |
Q47574102 | New reconstruction algorithm for digital breast tomosynthesis: better image quality for humans and computers |
Q99631127 | New technologies to improve healthcare in low- and middle-income countries: Global Grand Challenges satellite event, Oxford University Clinical Research Unit, Ho Chi Minh City, 17th-18th September 2019 |
Q92891789 | No-search focus prediction at the single cell level in digital holographic imaging with deep convolutional neural network |
Q98184284 | Non-disruptive collagen characterization in clinical histopathology using cross-modality image synthesis |
Q47670938 | Nonequilibrium thermodynamics of restricted Boltzmann machines |
Q89874001 | Noninvasive Diagnosis of Nonalcoholic Fatty Liver Disease and Quantification of Liver Fat with Radiofrequency Ultrasound Data Using One-dimensional Convolutional Neural Networks |
Q58723630 | Noninvasive assessment of dofetilide plasma concentration using a deep learning (neural network) analysis of the surface electrocardiogram: A proof of concept study |
Q55031911 | Nonlinear decoding of a complex movie from the mammalian retina. |
Q89997796 | Nonlinear dynamics based machine learning: Utilizing dynamics-based flexibility of nonlinear circuits to implement different functions |
Q55143916 | Nonlinear optical components for all-optical probabilistic graphical model. |
Q60103191 | Not-So-CLEVR: learning same-different relations strains feedforward neural networks |
Q55690208 | Novel Prehospital Prediction Model of Large Vessel Occlusion Using Artificial Neural Network. |
Q38663531 | Novel risk genes for systemic lupus erythematosus predicted by random forest classification |
Q64125263 | Nuclear Mechanopathology and Cancer Diagnosis |
Q90860173 | Nucleus segmentation across imaging experiments: the 2018 Data Science Bowl |
Q93140916 | NurseNet: Monitoring Elderly Levels of Activity with a Piezoelectric Floor |
Q33455266 | NutriNet: A Deep Learning Food and Drink Image Recognition System for Dietary Assessment |
Q45944002 | OCT-based deep learning algorithm for the evaluation of treatment indication with anti-vascular endothelial growth factor medications. |
Q93180621 | OPUS-Fold: An Open-Source Protein Folding Framework Based on Torsion-Angle Sampling |
Q91637240 | Objective and Automated Detection of Diffuse White Matter Abnormality in Preterm Infants Using Deep Convolutional Neural Networks |
Q98733506 | Objective function estimation for solving optimization problems in gate-model quantum computers |
Q91663709 | Obtaining dual-energy computed tomography (CT) information from a single-energy CT image for quantitative imaging analysis of living subjects by using deep learning |
Q92237022 | Occurrence prediction of pests and diseases in cotton on the basis of weather factors by long short term memory network |
Q41431707 | Omni-PolyA: a method and tool for accurate recognition of Poly(A) signals in human genomic DNA. |
Q38716456 | OmniGA: Optimized Omnivariate Decision Trees for Generalizable Classification Models |
Q57823683 | On the Exploitation of One Class Classification to Distinguish Food Vs Non-Food Images |
Q89561260 | On the Generalization Ability of Online Gradient Descent Algorithm Under the Quadratic Growth Condition |
Q110949660 | On the classification of simple and complex biological images using Krawtchouk moments and Generalized pseudo-Zernike moments: a case study with fly wing images and breast cancer mammograms |
Q73475929 | On the impact of Citizen Science-derived data quality on deep learning based classification in marine images |
Q100731072 | On the objectivity, reliability, and validity of deep learning enabled bioimage analyses |
Q92259110 | One View Per City for Buildings Segmentation in Remote-Sensing Images via Fully Convolutional Networks: A Proof-of-Concept Study |
Q69628965 | One neuron versus deep learning in aftershock prediction |
Q90583779 | OnionNet: a Multiple-Layer Intermolecular-Contact-Based Convolutional Neural Network for Protein-Ligand Binding Affinity Prediction |
Q38659151 | Open source software for automatic detection of cone photoreceptors in adaptive optics ophthalmoscopy using convolutional neural networks. |
Q64915413 | Open-source, machine and deep learning-based automated algorithm for gestational age estimation through smartphone lens imaging. |
Q90101802 | Operating a treatment planning system using a deep-reinforcement learning-based virtual treatment planner for prostate cancer intensity-modulated radiation therapy treatment planning |
Q55252504 | Opinion: Reproducibility failures are essential to scientific inquiry. |
Q89075971 | Opportunities and challenges in developing deep learning models using electronic health records data: a systematic review |
Q52331906 | Opportunities and obstacles for deep learning in biology and medicine. |
Q92221974 | Opportunities for Artificial Intelligence in Advancing Precision Medicine |
Q92584604 | Optical Coherence Tomography-Based Deep-Learning Models for Classifying Normal and Age-Related Macular Degeneration and Exudative and Non-Exudative Age-Related Macular Degeneration Changes |
Q100962269 | Optical coherence tomography angiography in diabetic retinopathy: an updated review |
Q101166255 | Optical coherence tomography-based deep-learning model for detecting central serous chorioretinopathy |
Q47966594 | Optimal Degrees of Synaptic Connectivity |
Q57073675 | Optimal Localist and Distributed Coding of Spatiotemporal Spike Patterns Through STDP and Coincidence Detection |
Q98215972 | Optimal STEM Convergence Angle Selection Using a Convolutional Neural Network and the Strehl Ratio |
Q110499873 | Optimal distributed parallel algorithms for deep learning framework Tensorflow |
Q64084019 | Optimal errors and phase transitions in high-dimensional generalized linear models |
Q64096319 | Optimal modularity and memory capacity of neural reservoirs |
Q52647548 | Optimal structure and parameter learning of Ising models. |
Q55030820 | Optimization of Bioactive Ingredient Extraction from Chinese Herbal Medicine Glycyrrhiza glabra: A Comparative Study of Three Optimization Models. |
Q64106679 | Optimization of a Deep-Learning Method Based on the Classification of Images Generated by Parameterized Deep Snap a Novel Molecular-Image-Input Technique for Quantitative Structure-Activity Relationship (QSAR) Analysis |
Q55517651 | Optimization of neural networks via finite-value quantum fluctuations. |
Q101409962 | Optimization technique combined with deep learning method for teeth recognition in dental panoramic radiographs |
Q47108048 | Optimizing Chemical Reactions with Deep Reinforcement Learning |
Q58750345 | Optimizing Clinical Assessments in Parkinson's Disease Through the Use of Wearable Sensors and Data Driven Modeling |
Q92815211 | Optimizing Neuro-Oncology Imaging: A Review of Deep Learning Approaches for Glioma Imaging |
Q38733841 | Optimizing a machine learning based glioma grading system using multi-parametric MRI histogram and texture features |
Q99207550 | Optimizing a quantum reservoir computer for time series prediction |
Q45944977 | Optofluidic time-stretch quantitative phase microscopy. |
Q96685658 | Optogenetics inspired transition metal dichalcogenide neuristors for in-memory deep recurrent neural networks |
Q50286852 | Orientation-Selective Retinal Circuits in Vertebrates. |
Q92734471 | Origins of the concepts cause, cost, and goal in prereaching infants |
Q60491077 | Outlier Detection on Mixed-Type Data: An Energy-Based Approach |
Q37737121 | Overcoming catastrophic forgetting in neural networks. |
Q38687993 | Overview of deep learning in medical imaging |
Q59784660 | P Wave Arrival Picking and First-Motion Polarity Determination With Deep Learning |
Q90264618 | PANOMICS meets Germplasm |
Q37027516 | PEDLA: predicting enhancers with a deep learning-based algorithmic framework. |
Q89637569 | PHTNet: Characterization and Deep Mining of Involuntary Pathological Hand Tremor using Recurrent Neural Network Models |
Q57169140 | PLC-Integrated Sensing Technology in Mountain Regions for Drone Landing Sites: Focusing on Software Technology |
Q37716068 | PREDICTIVE MODELING OF HOSPITAL READMISSION RATES USING ELECTRONIC MEDICAL RECORD-WIDE MACHINE LEARNING: A CASE-STUDY USING MOUNT SINAI HEART FAILURE COHORT. |
Q38964907 | PROTAX-Sound: A probabilistic framework for automated animal sound identification. |
Q52608555 | PVP-SVM: Sequence-Based Prediction of Phage Virion Proteins Using a Support Vector Machine. |
Q98771552 | Pan-Cancer Classification Based on Self-Normalizing Neural Networks and Feature Selection |
Q90485575 | Pan-cancer diagnostic consensus through searching archival histopathology images using artificial intelligence |
Q92972913 | Pancreatic cancer detection and characterization-state of the art cross-sectional imaging and imaging data analysis |
Q39128079 | Parameter Identifiability in Statistical Machine Learning: A Review |
Q91938398 | Parkinson's Disease Detection Using Isosurfaces-Based Features and Convolutional Neural Networks |
Q57812921 | Partial Discharge Recognition with a Multi-Resolution Convolutional Neural Network |
Q92535494 | Passing the Message: Representation Transfer in Modular Balanced Networks |
Q58569976 | Path R-CNN for Prostate Cancer Diagnosis and Gleason Grading of Histological Images |
Q90758338 | PathwayMap: Molecular Pathway Association with Self-Normalizing Neural Networks |
Q47096713 | Patient Health Record Systems Scope and Functionalities: Literature Review and Future Directions |
Q42951995 | Patient-Specific Deep Architectural Model for ECG Classification. |
Q90975699 | Patient-specific reconstruction of volumetric computed tomography images from a single projection view via deep learning |
Q64061869 | Pattern Learning Electronic Density of States |
Q110949969 | Pay attention and you won't lose it: a deep learning approach to sequence imputation |
Q64259272 | Pedestrian Stride-Length Estimation Based on LSTM and Denoising Autoencoders |
Q57855891 | Pedestrian detection with LeNet-like convolutional networks |
Q97569027 | Pedestrian orientation dynamics from high-fidelity measurements |
Q42324618 | Perception Science in the Age of Deep Neural Networks |
Q91624937 | Perceptual straightening of natural videos |
Q64979189 | Performance evaluation of deep neural ensembles toward malaria parasite detection in thin-blood smear images. |
Q59335315 | Performance of Deep Learning Architectures and Transfer Learning for Detecting Glaucomatous Optic Neuropathy in Fundus Photographs |
Q39247822 | Performance of Deep and Shallow Neural Networks, the Universal Approximation Theorem, Activity Cliffs, and QSAR. |
Q95322007 | Performance of a convolutional neural network derived from an ECG database in recognizing myocardial infarction |
Q38760605 | Performance of an Artificial Multi-observer Deep Neural Network for Fully Automated Segmentation of Polycystic Kidneys |
Q38856002 | Personal Sensing: Understanding Mental Health Using Ubiquitous Sensors and Machine Learning. |
Q41518362 | Personalized Monitoring and Advance Warning System for Cardiac Arrhythmias |
Q64324890 | Personalized Urination Activity Recognition Based on a Recurrent Neural Network Using Smart Band |
Q92053598 | Perturbation Theory Machine Learning Modeling of Immunotoxicity for Drugs Targeting Inflammatory Cytokines and Study of the Antimicrobial G1 Using Cytometric Bead Arrays |
Q90610901 | PhUn-Net: ready-to-use neural network for unwrapping quantitative phase images of biological cells |
Q94543068 | Phase Mapping in EBSD Using Convolutional Neural Networks |
Q92159163 | Phase recovery and holographic image reconstruction using deep learning in neural networks |
Q47559540 | Phase transitions in restricted Boltzmann machines with generic priors |
Q60711667 | PhaseLink: A Deep Learning Approach to Seismic Phase Association |
Q59416502 | Pheno-Deep Counter: a unified and versatile deep learning architecture for leaf counting |
Q54969632 | Photonic machine learning implementation for signal recovery in optical communications. |
Q94570590 | Physics-informed neural networks for solving nonlinear diffusivity and Biot's equations |
Q90633810 | Pilot study of eruption forecasting with muography using convolutional neural network |
Q99581483 | Piloting a Deep Learning Model for Predicting Nuclear BAP1 Immunohistochemical Expression of Uveal Melanoma from Hematoxylin-and-Eosin Sections |
Q92419426 | Plasmonic colours predicted by deep learning |
Q92145365 | Polyp detection during colonoscopy using a regression-based convolutional neural network with a tracker |
Q94562800 | Pooled CRISPR screens with imaging on microraft arrays reveals stress granule-regulatory factors |
Q90066568 | Post-processing radio-frequency signal based on deep learning method for ultrasonic microbubble imaging |
Q90392840 | Postoperative bleeding risk prediction for patients undergoing colorectal surgery |
Q57465776 | Potential downside of high initial visual acuity |
Q58107045 | Potentials of radiomics for cancer diagnosis and treatment in comparison with computer-aided diagnosis |
Q96816901 | Power-efficient neural network with artificial dendrites |
Q58753546 | Powerful and interpretable behavioural features for quantitative phenotyping of |
Q92569859 | Practical Considerations for Accuracy Evaluation in Sensor-Based Machine Learning and Deep Learning |
Q55120100 | Pre-trained convolutional neural networks as feature extractors toward improved malaria parasite detection in thin blood smear images. |
Q92800484 | Precise Prediction of Calpain Cleavage Sites and Their Aberrance Caused by Mutations in Cancer |
Q45947184 | Precision Medicine for Heart Failure with Preserved Ejection Fraction: An Overview. |
Q33687566 | Precision Radiology: Predicting longevity using feature engineering and deep learning methods in a radiomics framework |
Q62492994 | Precision immunoprofiling by image analysis and artificial intelligence |
Q91955484 | Predicting 30-day hospital readmissions using artificial neural networks with medical code embedding |
Q61796408 | Predicting Alzheimer's disease progression using multi-modal deep learning approach |
Q91710265 | Predicting Body Mass Index From Structural MRI Brain Images Using a Deep Convolutional Neural Network |
Q92861745 | Predicting Brain Age of Healthy Adults Based on Structural MRI Parcellation Using Convolutional Neural Networks |
Q62491151 | Predicting Breast Cancer Molecular Subtype with MRI Dataset Utilizing Convolutional Neural Network Algorithm |
Q64106616 | Predicting EGFR mutation status in lung adenocarcinoma on computed tomography image using deep learning |
Q99632845 | Predicting Early Warning Signs of Psychotic Relapse From Passive Sensing Data: An Approach Using Encoder-Decoder Neural Networks |
Q92357072 | Predicting Effective Diffusivity of Porous Media from Images by Deep Learning |
Q61451309 | Predicting Emotion and Engagement of Workers in Order Picking Based on Behavior and Pulse Waves Acquired by Wearable Devices |
Q64112118 | Predicting Ion Mobility Collision Cross-Sections Using a Deep Neural Network: DeepCCS |
Q57492101 | Predicting Outcome of Endovascular Treatment for Acute Ischemic Stroke: Potential Value of Machine Learning Algorithms |
Q90713956 | Predicting Short-term Survival after Liver Transplantation using Machine Learning |
Q45943667 | Predicting Unplanned Transfers to the Intensive Care Unit: A Machine Learning Approach Leveraging Diverse Clinical Elements. |
Q28588251 | Predicting Virtual World User Population Fluctuations with Deep Learning |
Q55312165 | Predicting cancer outcomes from histology and genomics using convolutional networks. |
Q94445630 | Predicting cell lineages using autoencoders and optimal transport |
Q41718329 | Predicting clinical outcomes from large scale cancer genomic profiles with deep survival models |
Q93012415 | Predicting clustered weather patterns: A test case for applications of convolutional neural networks to spatio-temporal climate data |
Q92190097 | Predicting complexation performance between cyclodextrins and guest molecules by integrated machine learning and molecular modeling techniques |
Q93163655 | Predicting disruptive instabilities in controlled fusion plasmas through deep learning |
Q88208268 | Predicting malignant nodules by fusing deep features with classical radiomics features |
Q89909871 | Predicting oral disintegrating tablet formulations by neural network techniques |
Q90667782 | Predicting oral malodour based on the microbiota in saliva samples using a deep learning approach |
Q50107878 | Predicting outcome of Morris water maze test in vascular dementia mouse model with deep learning. |
Q104134935 | Predicting porosity, permeability, and tortuosity of porous media from images by deep learning |
Q58774502 | Predicting postoperative facial swelling following impacted mandibular third molars extraction by using artificial neural networks evaluation |
Q92642178 | Predicting research trends with semantic and neural networks with an application in quantum physics |
Q61810636 | Predicting survival from colorectal cancer histology slides using deep learning: A retrospective multicenter study |
Q90950510 | Predicting the Dispersion Relations of One-Dimensional Phononic Crystals by Neural Networks |
Q90473033 | Predicting the Response to FOLFOX-Based Chemotherapy Regimen from Untreated Liver Metastases on Baseline CT: a Deep Neural Network Approach |
Q92030889 | Predicting the impact of single nucleotide variants on splicing via sequence-based deep neural networks and genomic features |
Q90663442 | Predicting the progression of ophthalmic disease based on slit-lamp images using a deep temporal sequence network |
Q33876971 | Predicting two-year survival versus non-survival after first myocardial infarction using machine learning and Swedish national register data |
Q90437490 | Predicting weaning difficulty for planned extubation patients with an artificial neural network |
Q90418732 | Prediction Model with High-Performance Constitutive Androstane Receptor (CAR) Using DeepSnap-Deep Learning Approach from the Tox21 10K Compound Library |
Q37408951 | Prediction error, ketamine and psychosis: An updated model |
Q89900861 | Prediction of Alzheimer's disease using blood gene expression data |
Q59806895 | Prediction of Drug-Likeness Using Deep Autoencoder Neural Networks |
Q92853455 | Prediction of Enzyme Function Based on Three Parallel Deep CNN and Amino Acid Mutation |
Q28084302 | Prediction of Genetic Interactions Using Machine Learning and Network Properties |
Q92335530 | Prediction of IDH and TERT promoter mutations in low-grade glioma from magnetic resonance images using a convolutional neural network |
Q48500863 | Prediction of Occult Invasive Disease in Ductal Carcinoma in Situ Using Deep Learning Features. |
Q55455142 | Prediction of RNA-protein sequence and structure binding preferences using deep convolutional and recurrent neural networks. |
Q89793731 | Prediction of Radiation Pneumonitis With Dose Distribution: A Convolutional Neural Network (CNN) Based Model |
Q89722925 | Prediction of Sequential Organelles Localization under Imbalance using A Balanced Deep U-Net |
Q64950555 | Prediction of activity and specificity of CRISPR-Cpf1 using convolutional deep learning neural networks. |
Q90254708 | Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning |
Q99585524 | Prediction of conversion to Alzheimer's disease using deep survival analysis of MRI images |
Q94539129 | Prediction of miRNA targets by learning from interaction sequences |
Q90207492 | Prediction of mosquito species and population age structure using mid-infrared spectroscopy and supervised machine learning |
Q64905822 | Prediction of the Antioxidant Response Elements' Response of Compound by Deep Learning. |
Q90641098 | Prediction of the miRNA interactome - Established methods and upcoming perspectives |
Q55884048 | Predictive Business Process Monitoring with LSTM Neural Networks |
Q62490179 | Predictive Modeling of the Hospital Readmission Risk from Patients' Claims Data Using Machine Learning: A Case Study on COPD |
Q45939317 | Predictive analytics in mental health: applications, guidelines, challenges and perspectives. |
Q92956031 | Predictive modeling in urgent care: a comparative study of machine learning approaches |
Q98303153 | Predictive modeling of estrogen receptor agonism, antagonism, and binding activities using machine- and deep-learning approaches |
Q92110425 | Preliminary Clinical Study of the Differences Between Interobserver Evaluation and Deep Convolutional Neural Network-Based Segmentation of Multiple Organs at Risk in CT Images of Lung Cancer |
Q92342229 | Preserving differential privacy in convolutional deep belief networks |
Q57652240 | Pretreatment Identification of Head and Neck Cancer Nodal Metastasis and Extranodal Extension Using Deep Learning Neural Networks |
Q37570075 | Principal component analysis-T1ρ voxel based relaxometry of the articular cartilage: a comparison of biochemical patterns in osteoarthritis and anterior cruciate ligament subjects |
Q47210541 | Principles and methods of in-silico prioritization of non-coding regulatory variants |
Q58558934 | Prior to Initiation of Chemotherapy, Can We Predict Breast Tumor Response? Deep Learning Convolutional Neural Networks Approach Using a Breast MRI Tumor Dataset |
Q45944894 | ProLanGO: Protein Function Prediction Using Neural Machine Translation Based on a Recurrent Neural Network. |
Q38911276 | Probabilistic Models and Generative Neural Networks: Towards an Unified Framework for Modeling Normal and Impaired Neurocognitive Functions. |
Q97882285 | Probing Slow Earthquakes With Deep Learning |
Q47792438 | Processing of structural neuroimaging data in young children: Bridging the gap between current practice and state-of-the-art methods. |
Q101406502 | Process‐Guided Deep Learning Predictions of Lake Water Temperature |
Q90578117 | Prognostic analysis of histopathological images using pre-trained convolutional neural networks: application to hepatocellular carcinoma |
Q100428551 | Prognostic value of immune-related genes and immune cell infiltration analysis in the tumor microenvironment of head and neck squamous cell carcinoma |
Q92993190 | Progress Estimation and Phase Detection for Sequential Processes |
Q38917562 | Progress in Biomedical Knowledge Discovery: A 25-year Retrospective |
Q37033770 | Progress in Fully Automated Abdominal CT Interpretation |
Q90285628 | Progress in Neuroengineering for brain repair: New challenges and open issues |
Q55421930 | Progress in non-invasive detection of liver fibrosis. |
Q93162164 | Proliferation Tumour Marker Network (PTM-NET) for the identification of tumour region in Ki67 stained breast cancer whole slide images |
Q90230601 | Promising Generative Adversarial Network Based Sinogram Inpainting Method for Ultra-Limited-Angle Computed Tomography Imaging |
Q91884632 | Prospect of using deep learning for predicting differentiation of myeloid progenitor cells after sepsis |
Q47756423 | Prospective Interest of Deep Learning for Hydrological Inference |
Q90406893 | Prospects for Theranostics in Neurosurgical Imaging: Empowering Confocal Laser Endomicroscopy Diagnostics via Deep Learning |
Q92163827 | Prostate Cancer Detection using Deep Convolutional Neural Networks |
Q40989085 | Protein Function Prediction Using Deep Restricted Boltzmann Machines |
Q55399112 | Protein Solvent-Accessibility Prediction by a Stacked Deep Bidirectional Recurrent Neural Network. |
Q45945654 | Protein complexes, big data, machine learning and integrative proteomics: lessons learned over a decade of systematic analysis of protein interaction networks. |
Q57794249 | Protein design: from computer models to artificial intelligence |
Q42374176 | Protein remote homology detection based on bidirectional long short-term memory |
Q38860867 | Protein-Ligand Scoring with Convolutional Neural Networks. |
Q45942972 | Protein-Protein Interaction Article Classification Using a Convolutional Recurrent Neural Network with Pre-trained Word Embeddings. |
Q47131923 | Protein-Protein Interactions Prediction Using a Novel Local Conjoint Triad Descriptor of Amino Acid Sequences |
Q64967244 | ProteinNet: a standardized data set for machine learning of protein structure. |
Q39200072 | Public Health and Epidemiology Informatics |
Q89557298 | Pulmonary Artery-Vein Classification in CT Images Using Deep Learning |
Q102057109 | Putative ratios of facial attractiveness in a deep neural network |
Q90339948 | Putting deep learning in perspective for pest management scientists |
Q61443038 | Qresp, a tool for curating, discovering and exploring reproducible scientific papers |
Q90673518 | Quanti.us: a tool for rapid, flexible, crowd-based annotation of images |
Q64885930 | Quantification of Facial Traits. |
Q96950451 | Quantification of muco-obstructive lung disease variability in mice via laboratory X-ray velocimetry |
Q98946642 | Quantifying Graft Detachment after Descemet's Membrane Endothelial Keratoplasty with Deep Convolutional Neural Networks |
Q47194806 | Quantifying the Beauty of Words: A Neurocognitive Poetics Perspective |
Q60949372 | Quantitative Evaluation of the Relationship between T-Wave-Based Features and Serum Potassium Level in Real-World Clinical Practice |
Q92636305 | Quantitative Structure-Activity Relationships for Structurally Diverse Chemotypes Having Anti-Trypanosoma cruzi Activity |
Q47556878 | Quantitative approaches to energy and glucose homeostasis: machine learning and modelling for precision understanding and prediction |
Q58079185 | Quantitative imaging of cancer in the postgenomic era: Radio(geno)mics, deep learning, and habitats |
Q57460365 | Quantitative vessel tortuosity: A potential CT imaging biomarker for distinguishing lung granulomas from adenocarcinomas |
Q50451544 | Quantum Machine Learning over Infinite Dimensions. |
Q90245936 | Quantum State Optimization and Computational Pathway Evaluation for Gate-Model Quantum Computers |
Q60015578 | Quantum generalisation of feedforward neural networks |
Q57285497 | Quantum machine learning for electronic structure calculations |
Q45945693 | Quantum machine learning. |
Q76650594 | Quantum topology identification with deep neural networks and quantum walks |
Q28817466 | Quantum-chemical insights from deep tensor neural networks |
Q33785930 | RED-ML: a novel, effective RNA editing detection method based on machine learning |
Q64110894 | REMODEL: Rethinking Deep CNN Models to Detect and Count on a NeuroSynaptic System |
Q47562249 | RFAthM6A: a new tool for predicting m6A sites in Arabidopsis thaliana. |
Q52561256 | RIDDLE: Race and ethnicity Imputation from Disease history with Deep LEarning. |
Q92028439 | RIL-Contour: a Medical Imaging Dataset Annotation Tool for and with Deep Learning |
Q40066032 | RNA structure inference through chemical mapping after accidental or intentional mutations |
Q36293160 | RNA-protein binding motifs mining with a new hybrid deep learning based cross-domain knowledge integration approach |
Q64079000 | RPITER: A Hierarchical Deep Learning Framework for ncRNA⁻Protein Interaction Prediction |
Q37719324 | RRAM-based parallel computing architecture using k-nearest neighbor classification for pattern recognition |
Q64950873 | RT-Seg: A Real-Time Semantic Segmentation Network for Side-Scan Sonar Images. |
Q47565924 | Radar HRRP Target Recognition Based on Stacked Autoencoder and Extreme Learning Machine |
Q91757509 | Radiological images and machine learning: Trends, perspectives, and prospects |
Q38608781 | Radiology and Enterprise Medical Imaging Extensions (REMIX). |
Q91728372 | Radiomic features of glucose metabolism enable prediction of outcome in mantle cell lymphoma |
Q89522016 | Radiomics Response Signature for Identification of Metastatic Colorectal Cancer Sensitive to Therapies Targeting EGFR Pathway |
Q92462809 | Radiomics and Artificial Intelligence for Biomarker and Prediction Model Development in Oncology |
Q96174925 | Radiomics for precision medicine: current challenges,future prospects, and the proposal of a new framework |
Q45945185 | Radiomics in Brain Tumor: Image Assessment, Quantitative Feature Descriptors, and Machine-Learning Approaches. |
Q64994466 | Radiomics in Glioblastoma: Current Status and Challenges Facing Clinical Implementation. |
Q62493703 | Radiomics with artificial intelligence for precision medicine in radiation therapy |
Q39044635 | Radiomics: a new application from established techniques. |
Q89892322 | Radiomics: from qualitative to quantitative imaging |
Q58734902 | Radiomics: is it time to compose the puzzle? |
Q92282778 | Randomised controlled trial of WISENSE, a real-time quality improving system for monitoring blind spots during esophagogastroduodenoscopy |
Q57181268 | Rapid compositional mapping of knee cartilage with compressed sensing MRI |
Q93199115 | Rapid identification of chrysanthemum teas by computer vision and deep learning |
Q96816757 | Rapid image deconvolution and multiview fusion for optical microscopy |
Q30387288 | RaptorX-Property: a web server for protein structure property prediction |
Q92412548 | ReS2 Charge Trapping Synaptic Device for Face Recognition Application |
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Q93335243 | Real-Time Standard View Classification in Transthoracic Echocardiography Using Convolutional Neural Networks |
Q58700152 | Real-Time Task Assignment Approach Leveraging Reinforcement Learning with Evolution Strategies for Long-Term Latency Minimization in Fog Computing |
Q61815974 | Real-Time Underwater Image Recognition with FPGA Embedded System for Convolutional Neural Network |
Q41050651 | Real-time Image Processing for Microscopy-based Label-free Imaging Flow Cytometry in a Microfluidic Chip |
Q58589859 | Real-time coherent diffraction inversion using deep generative networks |
Q91964541 | Real-time computerized video enhancement for minimally invasive fetoscopic surgery |
Q47631909 | Real-time differentiation of adenomatous and hyperplastic diminutive colorectal polyps during analysis of unaltered videos of standard colonoscopy using a deep learning model. |
Q92223480 | Real-time intraoperative diagnosis by deep neural network driven multiphoton virtual histology |
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Q64118134 | Recent Advances of Deep Learning in Bioinformatics and Computational Biology |
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Q67227460 | Recent advances and applications of machine learning in solid-state materials science |
Q92135741 | Recent advances in ribosome profiling for deciphering translational regulation |
Q91869776 | Recent advances in tissue imaging for cancer research |
Q55963652 | Recent applications of deep learning and machine intelligence on in silico drug discovery: methods, tools and databases |
Q37448892 | Recognition of Mould Colony on Unhulled Paddy Based on Computer Vision using Conventional Machine-learning and Deep Learning Techniques |
Q36269903 | Recognition of prokaryotic and eukaryotic promoters using convolutional deep learning neural networks |
Q41629834 | Reconstructing cell cycle and disease progression using deep learning |
Q36190605 | Rectified-Linear-Unit-Based Deep Learning for Biomedical Multi-label Data |
Q41684810 | Recurrent Convolutional Neural Networks: A Better Model of Biological Object Recognition |
Q37699522 | Recurrent Network Dynamics; a Link between Form and Motion |
Q57466152 | Recurrent Neural Network for Predicting Transcription Factor Binding Sites |
Q91996006 | Redefining the research hospital |
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Q91869398 | Reflecting health: smart mirrors for personalized medicine |
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Q97650527 | Reinventing Radiation Therapy with Machine Learning and Imaging Bio-markers (Radiomics): state-of-the-art, challenges and perspectives |
Q91650249 | Relation extraction between bacteria and biotopes from biomedical texts with attention mechanisms and domain-specific contextual representations |
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Q38375035 | Release from PI: An analysis and a model |
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Q60309667 | Reliable Real-time Seismic Signal/Noise Discrimination with Machine Learning |
Q68600493 | Reliable training and estimation of variance networks |
Q47172167 | Representability of algebraic topology for biomolecules in machine learning based scoring and virtual screening |
Q61860418 | Representation Learning for Class C G Protein-Coupled Receptors Classification |
Q59130358 | Representation Learning from Time Labelled Heterogeneous Data for Mobile Crowdsensing |
Q45947005 | Representation and Computation in Cognitive Models. |
Q98891458 | Representation of features as images with neighborhood dependencies for compatibility with convolutional neural networks |
Q90501943 | Representation, Pattern Information, and Brain Signatures: From Neurons to Neuroimaging |
Q63362610 | Research Weaving: Visualizing the Future of Research Synthesis |
Q99558286 | Research advances in forensic diatom testing |
Q90629006 | Research on OpenCL optimization for FPGA deep learning application |
Q55053010 | Residential scene classification for gridded population sampling in developing countries using deep convolutional neural networks on satellite imagery. |
Q91892442 | Resolving challenges in deep learning-based analyses of histopathological images using explanation methods |
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Q45944302 | Resting State fMRI Functional Connectivity-Based Classification Using a Convolutional Neural Network Architecture. |
Q113505133 | Restoring and attributing ancient texts using deep neural networks |
Q91698273 | Rethinking drug design in the artificial intelligence era |
Q101353492 | Rethinking embryology in vitro: A synergy between engineering, data science and theory |
Q60922535 | Rethinking multiscale cardiac electrophysiology with machine learning and predictive modelling |
Q64082151 | Retracted: Flavor-cyber-agriculture: Optimization of plant metabolites in an open-source control environment through surrogate modeling |
Q90883956 | Revealing ferroelectric switching character using deep recurrent neural networks |
Q39002947 | Revealing the vectors of cellular identity with single-cell genomics |
Q98616569 | Review of Clinical Research Informatics |
Q90104277 | Review: Synergy between mechanistic modelling and data-driven models for modern animal production systems in the era of big data |
Q92043351 | Revisiting the "satisfaction of spatial restraints" approach of MODELLER for protein homology modeling |
Q55380859 | Revolution in Health Care: How Will Data Science Impact Doctor-Patient Relationships? |
Q64098035 | Rice Blast Disease Recognition Using a Deep Convolutional Neural Network |
Q108127319 | RippleNet: a Recurrent Neural Network for Sharp Wave Ripple (SPW-R) Detection |
Q57168536 | Rise of Deep Learning for Genomic, Proteomic, and Metabolomic Data Integration in Precision Medicine |
Q94485528 | Rise of Raman spectroscopy in neurosurgery: a review |
Q62488959 | Rise of the Machines: Advances in Deep Learning for Cancer Diagnosis |
Q98892436 | Risk prediction platform for pancreatic fistula after pancreatoduodenectomy using artificial intelligence |
Q92702967 | Risk-Aware Machine Learning Classifier for Skin Lesion Diagnosis |
Q64073959 | Roadway traffic crash prediction using a state-space model based support vector regression approach |
Q89351097 | Robust Face Recognition Using the Deep C2D-CNN Model Based on Decision-Level Fusion |
Q99555662 | Robust Nonparametric Distribution Transfer with Exposure Correction for Image Neural Style Transfer |
Q37583728 | Robust Nucleus/Cell Detection and Segmentation in Digital Pathology and Microscopy Images: A Comprehensive Review |
Q89509604 | Robust Soft Sensor with Deep Kernel Learning for Quality Prediction in Rubber Mixing Processes |
Q47552866 | Robust and Adaptive Online Time Series Prediction with Long Short-Term Memory. |
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Q100512343 | Robust deep learning classification of adamantinomatous craniopharyngioma from limited preoperative radiographic images |
Q64101579 | Robust mouse tracking in complex environments using neural networks |
Q97643337 | Robust performance of deep learning for distinguishing glioblastoma from single brain metastasis using radiomic features: model development and validation |
Q104771550 | Rogue waves and analogies in optics and oceanography |
Q92668911 | Role of non-linear data processing on speech recognition task in the framework of reservoir computing |
Q48096231 | SCANPY: large-scale single-cell gene expression data analysis. |
Q63352058 | SIRIUS 4: a rapid tool for turning tandem mass spectra into metabolite structure information |
Q110950379 | SNARE-CNN: a 2D convolutional neural network architecture to identify SNARE proteins from high-throughput sequencing data |
Q110950085 | ST-AFN: a spatial-temporal attention based fusion network for lane-level traffic flow prediction |
Q57288883 | STRAINet: Spatially Varying sTochastic Residual AdversarIal Networks for MRI Pelvic Organ Segmentation |
Q104486517 | Salience-based object prioritization during active viewing of naturalistic scenes in young and older adults |
Q50421341 | Saliency Detection and Deep Learning-Based Wildfire Identification in UAV Imagery. |
Q55950351 | Scalable and accurate deep learning with electronic health records |
Q60937423 | Scalable deep text comprehension for Cancer surveillance on high-performance computing |
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Q55294366 | Scalable training of artificial neural networks with adaptive sparse connectivity inspired by network science. |
Q57073946 | Scan-specific robust artificial-neural-networks for k-space interpolation (RAKI) reconstruction: Database-free deep learning for fast imaging |
Q90523389 | Scene Classification for Sports Video Summarization Using Transfer Learning |
Q38636144 | Science and data science |
Q91529912 | Scientific, technological and economic issues in metal printing and their solutions |
Q90675273 | Screening Candidates for Refractive Surgery With Corneal Tomographic-Based Deep Learning |
Q92043099 | Screening and Diagnosis of Chronic Pharyngitis Based on Deep Learning |
Q91828651 | Screening as a strategy to drive regenerative medicine research |
Q98158818 | Screening of Parkinsonian subtle fine-motor impairment from touchscreen typing via deep learning |
Q90412771 | Second-Generation Sequencing with Deep Reinforcement Learning for Lung Infection Detection |
Q42698685 | Secondary Use of Patient Data: Review of the Literature Published in 2016. |
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Q91976638 | Segmentation of Glomeruli Within Trichrome Images Using Deep Learning |
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Q89702893 | Segmentation of roots in soil with U-Net |
Q58602844 | Segmentation of the Proximal Femur from MR Images using Deep Convolutional Neural Networks |
Q61811930 | Seizure detection by convolutional neural network-based analysis of scalp electroencephalography plot images |
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Q92688575 | Selene: a PyTorch-based deep learning library for sequence data |
Q98577623 | Self-Attention Convolutional Neural Network for Improved MR Image Reconstruction |
Q57466213 | Self-Organizing Traffic Flow Prediction with an Optimized Deep Belief Network for Internet of Vehicles |
Q64055032 | Semantic Segmentation of Building Roof in Dense Urban Environment with Deep Convolutional Neural Network: A Case Study Using GF2 VHR Imagery in China |
Q89642719 | Semantic Segmentation of White Matter in FDG-PET Using Generative Adversarial Network |
Q90537318 | Semi Supervised Learning with Deep Embedded Clustering for Image Classification and Segmentation |
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Q91883465 | Sensitivity and specificity evaluation of multiple neurodegenerative proteins for Creutzfeldt-Jakob disease diagnosis using a deep-learning approach |
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Q38733931 | Sensory Metrics of Neuromechanical Trust |
Q89582398 | Separability and geometry of object manifolds in deep neural networks |
Q30355556 | Sequence-based prediction of protein protein interaction using a deep-learning algorithm. |
Q100490681 | Sequence-to-function deep learning frameworks for engineered riboregulators |
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Q92570732 | Session Recommendation via Recurrent Neural Networks over Fisher Embedding Vectors |
Q91642220 | Severity Classification of Conjunctival Hyperaemia by Deep Neural Network Ensembles |
Q92217545 | Shaping the learning landscape in neural networks around wide flat minima |
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Q57176077 | Short-Term Traffic State Prediction Based on the Spatiotemporal Features of Critical Road Sections |
Q91615055 | Signal Status Recognition Based on 1DCNN and Its Feature Extraction Mechanism Analysis |
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Q91869953 | Similar image search for histopathology: SMILY |
Q91943762 | Simultaneous spatiotemporal tracking and oxygen sensing of transient implants in vivo using hot-spot MRI and machine learning |
Q90392610 | Single-Cell RNA Sequencing: A New Window into Cell Scale Dynamics |
Q91405292 | Single-Sensor Source Localization Using Electromagnetic Time Reversal and Deep Transfer Learning: Application to Lightning |
Q92617900 | Single-Shot Convolution Neural Networks for Real-Time Fruit Detection Within the Tree |
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Q90053722 | Single-particle spectroscopy for functional nanomaterials |
Q64069231 | Sketching the Power of Machine Learning to Decrypt a Neural Systems Model of Behavior |
Q58545692 | Skin Cancer Classification Using Convolutional Neural Networks: Systematic Review |
Q45963901 | Small Molecule Accurate Recognition Technology (SMART) to Enhance Natural Products Research. |
Q64277745 | Smartphone-Based Activity Recognition for Indoor Localization Using a Convolutional Neural Network |
Q57406176 | Society-in-the-loop: programming the algorithmic social contract |
Q64083743 | Sociodemographic Indicators of Health Status Using a Machine Learning Approach and Data from the English Longitudinal Study of Aging (ELSA) |
Q102633326 | Software and Application Patterns for Explanation Methods |
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Q51556530 | Solving Constraint-Satisfaction Problems with Distributed Neocortical-Like Neuronal Networks. |
Q64123028 | Solving high-dimensional partial differential equations using deep learning |
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Q89966172 | Sparse Convolutional Neural Networks for Genome-Wide Prediction |
Q39168417 | Sparse Neural Network Models of Antimicrobial Peptide-Activity Relationships |
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Q91161206 | Spatial coordinate transforms linking the allocentric hippocampal and egocentric parietal primate brain systems for memory, action in space, and navigation |
Q64110641 | Spatial mapping with Gaussian processes and nonstationary Fourier features |
Q91117953 | Spatial proteomics: a powerful discovery tool for cell biology |
Q38369973 | Spatiotemporal Recurrent Convolutional Networks for Traffic Prediction in Transportation Networks |
Q64251906 | Spatio⁻Temporal Image Representation of 3D Skeletal Movements for View-Invariant Action Recognition with Deep Convolutional Neural Networks |
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Q92856676 | Speech enhancement method using deep learning approach for hearing-impaired listeners |
Q55284074 | Spiking neural networks for computer vision. |
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Q55119920 | Spinal cord gray matter segmentation using deep dilated convolutions. |
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Q92256907 | Study on the Classification Performance of Underwater Sonar Image Classification Based on Convolutional Neural Networks for Detecting a Submerged Human Body |
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Q47999673 | Synaptic integrative mechanisms for spatial cognition |
Q92860395 | Synaptic weighting in single flux quantum neuromorphic computing |
Q90381977 | Synchronous Response Analysis of Features for Remote Sensing Crop Classification Based on Optical and SAR Time-Series Data |
Q100945973 | Synthesis of computer simulation and machine learning for achieving the best material properties of filled rubber |
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Q89187412 | Synthetic Lethal Networks for Precision Oncology: Promises and Pitfalls |
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Q90063975 | Systematic Review of Privacy-Preserving Distributed Machine Learning From Federated Databases in Health Care |
Q102369470 | Systematic classification of unknown metabolites using high-resolution fragmentation mass spectra |
Q58608905 | TD-LSTM: Temporal Dependence-Based LSTM Networks for Marine Temperature Prediction |
Q92257791 | Tackling Faults in the Industry 4.0 Era-A Survey of Machine-Learning Solutions and Key Aspects |
Q90316613 | Tactile sensory coding and learning with bio-inspired optoelectronic spiking afferent nerves |
Q52660673 | Technical Note: An R package for Fitting Sparse Neural Networks with Application in Animal Breeding. |
Q88680820 | Technical Note: Deep learning based MRAC using rapid ultrashort echo time imaging |
Q92466617 | Technical Note: PYRO-NN: Python reconstruction operators in neural networks |
Q62492689 | Technical and clinical overview of deep learning in radiology |
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Q92287838 | Temporal phase unwrapping using deep learning |
Q64114372 | Ten simple rules for predictive modeling of individual differences in neuroimaging |
Q47100544 | Text feature extraction based on deep learning: a review. |
Q64100528 | The Actor-Dueling-Critic Method for Reinforcement Learning |
Q89976192 | The Algorithms of Distributed Learning and Distributed Estimation about Intelligent Wireless Sensor Network |
Q62489353 | The Applications of Radiomics in Precision Diagnosis and Treatment of Oncology: Opportunities and Challenges |
Q36126249 | The C. elegans Connectome Consists of Homogenous Circuits with Defined Functional Roles |
Q91710251 | The Challenge of Modeling the Acquisition of Mathematical Concepts |
Q92132530 | The Computational Diet: A Review of Computational Methods Across Diet, Microbiome, and Health |
Q89633841 | The Design of CNN Architectures for Optimal Six Basic Emotion Classification Using Multiple Physiological Signals |
Q91129979 | The Eighty Five Percent Rule for optimal learning |
Q92105118 | The Embodied Brain of SOVEREIGN2: From Space-Variant Conscious Percepts During Visual Search and Navigation to Learning Invariant Object Categories and Cognitive-Emotional Plans for Acquiring Valued Goals |
Q47874758 | The Emergence of Organizing Structure in Conceptual Representation |
Q50168496 | The Expanding Landscape of Alternative Splicing Variation in Human Populations. |
Q93155088 | The Human Lung Cell Atlas: A High-Resolution Reference Map of the Human Lung in Health and Disease |
Q101468067 | The ImageJ Ecosystem: open-source software for image visualization, processing, and analysis |
Q64107137 | The Impact of Transient Ischemic Attack (TIA) on Brain and Behavior |
Q48449569 | The Integration of Distributed Memory Traces. |
Q56888531 | The National Library of Medicine Pill Image Recognition Challenge: An Initial Report |
Q38823933 | The Next Era: Deep Learning in Pharmaceutical Research |
Q91203601 | The Omics Revolution Continues: The Maturation of High-Throughput Biological Data Sources |
Q90229557 | The Potential of Game-Based Digital Biomarkers for Modeling Mental Health |
Q30359506 | The Role of Architectural and Learning Constraints in Neural Network Models: A Case Study on Visual Space Coding. |
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Q39295771 | The Role of Variability in Motor Learning. |
Q90280655 | The Unreasonable Effectiveness of Convolutional Neural Networks in Population Genetic Inference |
Q59798184 | The Utilization of Autoantibodies in Approaches to Precision Health |
Q92392566 | The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation |
Q91939594 | The application of convolutional neural network to stem cell biology |
Q92985113 | The challenge of implementing AI models in the ICU |
Q47683712 | The circadian profile of epilepsy improves seizure forecasting |
Q97517753 | The dawning of the digital era in the management of hypertension |
Q57172944 | The developing role of FDG PET imaging for prognostication and radiotherapy target volume delineation in non-small cell lung cancer |
Q89678052 | The diagnostic accuracy of artificial intelligence in thoracic diseases: A protocol for systematic review and meta-analysis |
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Q92180538 | The linkage between the perception of neighbourhood and physical activity in Guangzhou, China: using street view imagery with deep learning techniques |
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Q57491095 | Theoretical Models of Neural Development |
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Q91791829 | Three critical factors affecting automated image species recognition performance for camera traps |
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Q92493043 | Three-dimensional posture estimation of robot forceps using endoscope with convolutional neural network |
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Q39146685 | Transfer Learning with Convolutional Neural Networks for Classification of Abdominal Ultrasound Images |
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