| scholarly article | Q13442814 |
| P8978 | DBLP publication ID | journals/neuroimage/ZhangWZYS11 |
| P356 | DOI | 10.1016/J.NEUROIMAGE.2011.01.008 |
| P932 | PMC publication ID | 3057360 |
| P698 | PubMed publication ID | 21236349 |
| P5875 | ResearchGate publication ID | 49756745 |
| P50 | author | Alzheimer's Disease Neuroimaging Initiative | Q4738819 |
| Dinggang Shen | Q66730599 | ||
| P2093 | author name string | Hong Yuan | |
| Yaping Wang | |||
| Luping Zhou | |||
| Daoqiang Zhang | |||
| P2860 | cites work | MKL for robust multi-modality AD classification | Q62499577 |
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| 3D PIB and CSF biomarker associations with hippocampal atrophy in ADNI subjects | Q34637899 | ||
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| Medial temporal lobe atrophy predicts Alzheimer's disease in patients with minor cognitive impairment | Q35466761 | ||
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| Advances in the early detection of Alzheimer's disease | Q35857470 | ||
| Medial temporal atrophy but not memory deficit predicts progression to dementia in patients with mild cognitive impairment. | Q36141850 | ||
| FDG-PET improves accuracy in distinguishing frontotemporal dementia and Alzheimer's disease | Q36912674 | ||
| Automatic classification of MR scans in Alzheimer's disease | Q36965246 | ||
| Baseline and longitudinal patterns of brain atrophy in MCI patients, and their use in prediction of short-term conversion to AD: results from ADNI. | Q37111598 | ||
| Cerebrospinal fluid biomarker signature in Alzheimer's disease neuroimaging initiative subjects | Q37227424 | ||
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| Multi-modal imaging predicts memory performance in normal aging and cognitive decline | Q37626762 | ||
| FDG-PET measurement is more accurate than neuropsychological assessments to predict global cognitive deterioration in patients with mild cognitive impairment | Q38416277 | ||
| Cerebral metabolic patterns at early stages of frontotemporal dementia and semantic dementia. A PET study | Q38421348 | ||
| Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm | Q39512850 | ||
| Imaging cerebral atrophy: normal ageing to Alzheimer's disease | Q40518545 | ||
| Atrophy of the medial occipitotemporal, inferior, and middle temporal gyri in non-demented elderly predict decline to Alzheimer's disease | Q40766817 | ||
| Hippocampal formation glucose metabolism and volume losses in MCI and AD. | Q43668221 | ||
| Mild cognitive impairment: Can FDG-PET predict who is to rapidly convert to Alzheimer's disease? | Q44411562 | ||
| Cerebral metabolic changes accompanying conversion of mild cognitive impairment into Alzheimer's disease: a PET follow-up study | Q44452244 | ||
| A comparison of classification methods for differentiating fronto-temporal dementia from Alzheimer's disease using FDG-PET imaging | Q44723818 | ||
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| COMPARE: classification of morphological patterns using adaptive regional elements. | Q45965571 | ||
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| MultiK-MHKS: a novel multiple kernel learning algorithm | Q48023149 | ||
| Use of SVM methods with surface-based cortical and volumetric subcortical measurements to detect Alzheimer's disease. | Q48350578 | ||
| Automated cortical thickness measurements from MRI can accurately separate Alzheimer's patients from normal elderly controls. | Q48373578 | ||
| HAMMER: hierarchical attribute matching mechanism for elastic registration. | Q48392370 | ||
| Mapping gray matter loss with voxel-based morphometry in mild cognitive impairment. | Q48461562 | ||
| Amyloid beta40/42 clearance across the blood-brain barrier following intra-ventricular injections in wild-type, apoE knock-out and human apoE3 or E4 expressing transgenic mice. | Q48492184 | ||
| CSF biomarkers and medial temporal lobe atrophy predict dementia in mild cognitive impairment. | Q48494001 | ||
| FDG-PET and CSF phospho-tau for prediction of cognitive decline in mild cognitive impairment. | Q51903223 | ||
| Longitudinal CSF isoprostane and MRI atrophy in the progression to AD. | Q51969903 | ||
| Longitudinal changes of CSF biomarkers in memory clinic patients. | Q51972050 | ||
| Hippocampal neurons in pre-clinical Alzheimer's disease. | Q53263608 | ||
| P433 | issue | 3 | |
| P407 | language of work or name | English | Q1860 |
| P921 | main subject | Alzheimer's disease | Q11081 |
| mild cognitive impairment | Q1472703 | ||
| cognitive dysfunction | Q57859955 | ||
| P304 | page(s) | 856-867 | |
| P577 | publication date | 2011-01-12 | |
| P1433 | published in | NeuroImage | Q1981225 |
| P1476 | title | Multimodal classification of Alzheimer's disease and mild cognitive impairment | |
| P478 | volume | 55 |
| Q30971403 | 2014 Update of the Alzheimer's Disease Neuroimaging Initiative: A review of papers published since its inception |
| Q30361248 | 3D scattering transforms for disease classification in neuroimaging. |
| Q111522458 | 3D transfer learning network for classification of Alzheimer’s disease with MRI |
| Q89821102 | A Classification Algorithm by Combination of Feature Decomposition and Kernel Discriminant Analysis (KDA) for Automatic MR Brain Image Classification and AD Diagnosis |
| Q37009468 | A Comparison of Magnetic Resonance Imaging and Neuropsychological Examination in the Diagnostic Distinction of Alzheimer's Disease and Behavioral Variant Frontotemporal Dementia |
| Q92218778 | A Geometric Framework for Feature Mappings in Multimodal Fusion of Brain Image Data |
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| Q50777802 | A Method to Differentiate Mild Cognitive Impairment and Alzheimer in MR Images using Eigen Value Descriptors. |
| Q91666516 | A Novel Dynamic Hyper-Graph Inference Framework for Computer Assisted Diagnosis of Neuro-Diseases |
| Q42036964 | A Robust Deep Model for Improved Classification of AD/MCI Patients |
| Q58794965 | A Robust Reduced Rank Graph Regression Method for Neuroimaging Genetic Analysis |
| Q93176066 | A Single-Channel EEG-Based Approach to Detect Mild Cognitive Impairment via Speech-Evoked Brain Responses |
| Q28547333 | A Subset of Cerebrospinal Fluid Proteins from a Multi-Analyte Panel Associated with Brain Atrophy, Disease Classification and Prediction in Alzheimer's Disease |
| Q35203409 | A blood-based algorithm for the detection of Alzheimer's disease |
| Q28741766 | A blood-based screening tool for Alzheimer's disease that spans serum and plasma: findings from TARC and ADNI |
| Q40176296 | A composite multivariate polygenic and neuroimaging score for prediction of conversion to Alzheimer's disease |
| Q36863298 | A diagnostic methodology for Alzheimer's disease |
| Q38818887 | A hypo-status in drug-dependent brain revealed by multi-modal MRI. |
| Q35880136 | A multi-contrast MRI study of microstructural brain damage in patients with mild cognitive impairment |
| Q35122877 | A novel approach of groupwise fMRI-guided tractography allowing to characterize the clinical evolution of Alzheimer's disease |
| Q62497690 | A novel multi-relation regularization method for regression and classification in AD diagnosis |
| Q36889357 | A novel relational regularization feature selection method for joint regression and classification in AD diagnosis |
| Q28658984 | A review of feature reduction techniques in neuroimaging |
| Q36348208 | A review on neuroimaging-based classification studies and associated feature extraction methods for Alzheimer's disease and its prodromal stages |
| Q37196269 | A supervised learning approach for Crohn's disease detection using higher-order image statistics and a novel shape asymmetry measure |
| Q62497718 | A universal and efficient method to compute maps from image-based prediction models |
| Q34006900 | Abnormal changes of multidimensional surface features using multivariate pattern classification in amnestic mild cognitive impairment patients |
| Q40283684 | Accurate Prediction of Conversion to Alzheimer's Disease using Imaging, Genetic, and Neuropsychological Biomarkers |
| Q37184305 | Accurate multimodal probabilistic prediction of conversion to Alzheimer's disease in patients with mild cognitive impairment |
| Q30870223 | Advances in MRI biomarkers for the diagnosis of Alzheimer's disease |
| Q64071255 | Alzheimer's Disease Diagnosis Based on Cortical and Subcortical Features |
| Q40309567 | Alzheimer's disease detection in brain magnetic resonance images using multiscale fractal analysis |
| Q36943464 | Alzheimer's disease neurodegenerative biomarkers are associated with decreased cognitive function but not β-amyloid in cognitively normal older individuals |
| Q35046556 | Alzheimer's disease risk assessment using large-scale machine learning methods |
| Q36707577 | An MRI-based index to measure the severity of Alzheimer's disease-like structural pattern in subjects with mild cognitive impairment. |
| Q34055510 | An MRI-derived definition of MCI-to-AD conversion for long-term, automatic prognosis of MCI patients |
| Q34070840 | An efficient approach for differentiating Alzheimer's disease from normal elderly based on multicenter MRI using gray-level invariant features |
| Q30839607 | An empirical comparison of different approaches for combining multimodal neuroimaging data with support vector machine |
| Q34234332 | An ensemble-of-classifiers based approach for early diagnosis of Alzheimer's disease: classification using structural features of brain images. |
| Q89558189 | Anatomical Landmark Based Deep Feature Representation for MR Images in Brain Disease Diagnosis |
| Q34532241 | Annual research review: progress in using brain morphometry as a clinical tool for diagnosing psychiatric disorders |
| Q37547714 | Application of Machine Learning in Postural Control Kinematics for the Diagnosis of Alzheimer's Disease |
| Q40032141 | Application of the IWG-2 Diagnostic Criteria for Alzheimer's Disease to the ADNI. |
| Q37027184 | Application of the National Institute on Aging-Alzheimer's Association AD criteria to ADNI |
| Q95319170 | Applying Machine Learning to Kinematic and Eye Movement Features of a Movement Imitation Task to Predict Autism Diagnosis |
| Q34654986 | Association between NME8 locus polymorphism and cognitive decline, cerebrospinal fluid and neuroimaging biomarkers in Alzheimer's disease |
| Q48682952 | Associations Between ApoEε4 Carrier Status and Serum BDNF Levels--New Insights into the Molecular Mechanism of ApoEε4 Actions in Alzheimer's Disease. |
| Q35930847 | Automated Hippocampal Subfield Measures as Predictors of Conversion from Mild Cognitive Impairment to Alzheimer's Disease in Two Independent Cohorts |
| Q41966140 | Automated identification of dementia using FDG-PET imaging |
| Q34443664 | Baseline shape diffeomorphometry patterns of subcortical and ventricular structures in predicting conversion of mild cognitive impairment to Alzheimer's disease |
| Q30663979 | Bi-level multi-source learning for heterogeneous block-wise missing data |
| Q38150708 | Biomarker-driven therapeutic management of Alzheimer's disease: establishing the foundations |
| Q91706911 | Brain Connectivity Based Prediction of Alzheimer's Disease in Patients With Mild Cognitive Impairment Based on Multi-Modal Images |
| Q89035900 | Brain MRI analysis for Alzheimer's disease diagnosis using an ensemble system of deep convolutional neural networks |
| Q28596018 | Brain structure-function associations identified in large-scale neuroimaging data. |
| Q34797000 | BrainAGE in Mild Cognitive Impaired Patients: Predicting the Conversion to Alzheimer's Disease |
| Q34531387 | CSF and brain structural imaging markers of the Alzheimer's pathological cascade |
| Q36304960 | Candidate Biomarkers in Children with Autism Spectrum Disorder: A Review of MRI Studies |
| Q36563840 | Canonical feature selection for joint regression and multi-class identification in Alzheimer's disease diagnosis |
| Q38622977 | Cascaded Multi-view Canonical Correlation (CaMCCo) for Early Diagnosis of Alzheimer's Disease via Fusion of Clinical, Imaging and Omic Features |
| Q82511885 | Challenges of Integrative Disease Modeling in Alzheimer's Disease |
| Q53829181 | Characterization of brain anatomical patterns by comparing region intensity distributions: Applications to the description of Alzheimer's disease. |
| Q47152383 | Characterizing biomarker features of cognitively normal individuals with ventriculomegaly |
| Q30885562 | Classification algorithms with multi-modal data fusion could accurately distinguish neuromyelitis optica from multiple sclerosis |
| Q53447021 | Classification and prediction of clinical diagnosis of Alzheimer's disease based on MRI and plasma measures of α-/γ-tocotrienols and γ-tocopherol. |
| Q58562914 | Classification of Alzheimer's Disease, Mild Cognitive Impairment and Normal Control Subjects Using Resting-State fMRI Based Network Connectivity Analysis |
| Q47555784 | Classification of Alzheimer's Disease, Mild Cognitive Impairment, and Cognitively Unimpaired Individuals Using Multi-feature Kernel Discriminant Dictionary Learning |
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| Q53819680 | Classification of Alzheimer's and MCI Patients from Semantically Parcelled PET Images: A Comparison between AV45 and FDG-PET. |
| Q55406482 | Classification of Alzheimer’s Disease by Combination of Convolutional and Recurrent Neural Networks Using FDG-PET Images. |
| Q50334465 | Classification of MRI and psychological testing data based on support vector machine. |
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| Q45944353 | Classifying MCI Subtypes in Community-Dwelling Elderly Using Cross-Sectional and Longitudinal MRI-Based Biomarkers. |
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| Q92510000 | Combining heterogeneous data sources for neuroimaging based diagnosis: re-weighting and selecting what is important |
| Q47553516 | Combining multi-modality data for searching biomarkers in schizophrenia |
| Q31109486 | Composite large margin classifiers with latent subclasses for heterogeneous biomedical data |
| Q41845239 | Computational integration of nanoscale physical biomarkers and cognitive assessments for Alzheimer's disease diagnosis and prognosis |
| Q30893529 | Content-based image retrieval for brain MRI: an image-searching engine and population-based analysis to utilize past clinical data for future diagnosis |
| Q59136858 | Convolutional Neural Networks-Based MRI Image Analysis for the Alzheimer's Disease Prediction From Mild Cognitive Impairment |
| Q93154568 | Cortical graph neural network for AD and MCI diagnosis and transfer learning across populations |
| Q36606287 | Cross-View Neuroimage Pattern Analysis in Alzheimer's Disease Staging |
| Q35765058 | Cross-validation of biomarkers for the early differential diagnosis and prognosis of dementia in a clinical setting. |
| Q47645085 | Data Platform for the Research and Prevention of Alzheimer's Disease |
| Q35874975 | Decoding intracranial EEG data with multiple kernel learning method. |
| Q62490460 | Deep neural networks in psychiatry |
| Q34477142 | Deep sparse multi-task learning for feature selection in Alzheimer's disease diagnosis |
| Q60992440 | Diagnosing Alzheimer’s Disease: Automatic Extraction and Selection of Coherent Regions in FDG-PET Images |
| Q64939374 | Diagnosis and prognosis of Alzheimer's disease using brain morphometry and white matter connectomes. |
| Q42959434 | Diagnosis of Alzheimer's Disease Based on Structural MRI Images Using a Regularized Extreme Learning Machine and PCA Features. |
| Q92862234 | Diagnosis of Alzheimer's Disease via Multi-Modality 3D Convolutional Neural Network |
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| Q90518588 | Differentiation of schizophrenia using structural MRI with consideration of scanner differences: A real-world multisite study |
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| Q36031308 | Discovering Alzheimer Genetic Biomarkers Using Bayesian Networks. |
| Q36869600 | Discrimination between Alzheimer's disease and mild cognitive impairment using SOM and PSO-SVM. |
| Q36149874 | Discriminative Analysis of Migraine without Aura: Using Functional and Structural MRI with a Multi-Feature Classification Approach. |
| Q36626094 | Discriminative multi-task feature selection for multi-modality classification of Alzheimer's disease |
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| Q57113598 | Disrupted interactions among the hippocampal, dorsal attention, and central-executive networks in amnestic mild cognitive impairment |
| Q35847839 | Distinguishing bipolar and major depressive disorders by brain structural morphometry: a pilot study |
| Q35761601 | Domain Transfer Learning for MCI Conversion Prediction |
| Q62498529 | Domain transfer learning for MCI conversion prediction |
| Q90483071 | Early diagnosis of Alzheimer's disease using combined features from voxel-based morphometry and cortical, subcortical, and hippocampus regions of MRI T1 brain images |
| Q34989712 | Early indications of future cognitive decline: stable versus declining controls |
| Q47203250 | Embedding Anatomical or Functional Knowledge in Whole-Brain Multiple Kernel Learning Models. |
| Q89683314 | Emphasis Learning, Features Repetition in Width Instead of Length to Improve Classification Performance: Case Study-Alzheimer's Disease Diagnosis |
| Q34440651 | Empowering imaging biomarkers of Alzheimer's disease |
| Q38629532 | Enhanced Data Representation by Kernel Metric Learning for Dementia Diagnosis |
| Q57785654 | Enhancing the representation of functional connectivity networks by fusing multi-view information for autism spectrum disorder diagnosis |
| Q35830734 | Ensemble sparse classification of Alzheimer's disease |
| Q48593607 | Ensembles of Deep Learning Architectures for the Early Diagnosis of the Alzheimer's Disease. |
| Q57495381 | Evaluating combinations of diagnostic tests to discriminate different dementia types |
| Q30698717 | Extreme learning machine-based classification of ADHD using brain structural MRI data |
| Q47225592 | Factors influencing accuracy of cortical thickness in the diagnosis of Alzheimer's disease |
| Q33917390 | Feature selective temporal prediction of Alzheimer's disease progression using hippocampus surface morphometry. |
| Q47200597 | Fluid and imaging biomarkers for Alzheimer's disease: Where we stand and where to head to. |
| Q90932775 | Forecasting the progression of Alzheimer's disease using neural networks and a novel preprocessing algorithm |
| Q33782862 | Frequent and discriminative subnetwork mining for mild cognitive impairment classification |
| Q30670952 | Function-structure associations of the brain: evidence from multimodal connectivity and covariance studies |
| Q35547303 | Gaussian Mixture Models and Model Selection for [18F] Fluorodeoxyglucose Positron Emission Tomography Classification in Alzheimer's Disease |
| Q37217107 | Gross feature recognition of Anatomical Images based on Atlas grid (GAIA): Incorporating the local discrepancy between an atlas and a target image to capture the features of anatomic brain MRI. |
| Q89909043 | Group Guided Fused Laplacian Sparse Group Lasso for Modeling Alzheimer's Disease Progression |
| Q37191515 | Heterogeneous multimodal biomarkers analysis for Alzheimer's disease via Bayesian network |
| Q90736040 | Hierarchical Fully Convolutional Network for Joint Atrophy Localization and Alzheimer's Disease Diagnosis Using Structural MRI |
| Q48363857 | Hierarchical High-Order Functional Connectivity Networks and Selective Feature Fusion for MCI Classification. |
| Q30399994 | Hierarchical feature representation and multimodal fusion with deep learning for AD/MCI diagnosis |
| Q34045111 | Hierarchical fusion of features and classifier decisions for Alzheimer's disease diagnosis |
| Q34181363 | High-Dimensional Medial Lobe Morphometry: An Automated MRI Biomarker for the New AD Diagnostic Criteria. |
| Q62497994 | High-order graph matching based feature selection for Alzheimer's disease identification |
| Q42365669 | High-order resting-state functional connectivity network for MCI classification |
| Q37397606 | High-throughput neuro-imaging informatics |
| Q39154725 | Histogram-Based Feature Extraction from Individual Gray Matter Similarity-Matrix for Alzheimer's Disease Classification |
| Q52595017 | Histogram-Based Features Selection and Volume of Interest Ranking for Brain PET Image Classification. |
| Q40546656 | Human cell structure-driven model construction for predicting protein subcellular location from biological images |
| Q41140593 | Hybrid High-order Functional Connectivity Networks Using Resting-state Functional MRI for Mild Cognitive Impairment Diagnosis |
| Q64114932 | Hybrid multivariate pattern analysis combined with extreme learning machine for Alzheimer's dementia diagnosis using multi-measure rs-fMRI spatial patterns |
| Q37676900 | Hyper-connectivity of functional networks for brain disease diagnosis |
| Q89963664 | Hypernetwork Construction and Feature Fusion Analysis Based on Sparse Group Lasso Method on Functional fMRI Dataset |
| Q37489418 | IDENTIFICATION OF DISCRIMINATIVE IMAGING PROTEOMICS ASSOCIATIONS IN ALZHEIMER'S DISEASE VIA A NOVEL SPARSE CORRELATION MODEL. |
| Q53513889 | Identification of Alzheimer's disease and mild cognitive impairment using multimodal sparse hierarchical extreme learning machine. |
| Q40507197 | Identification of Conversion from Normal Elderly Cognition to Alzheimer's Disease using Multimodal Support Vector Machine. |
| Q36262487 | Identification of Early-Stage Alzheimer's Disease Using Sulcal Morphology and Other Common Neuroimaging Indices. |
| Q35663525 | Identification of MCI individuals using structural and functional connectivity networks |
| Q33981434 | Identification of conversion from mild cognitive impairment to Alzheimer's disease using multivariate predictors |
| Q36470531 | Identification of infants at high-risk for autism spectrum disorder using multiparameter multiscale white matter connectivity networks |
| Q57833623 | Identifying Genetic Associations with MRI-derived Measures via Tree-Guided Sparse Learning |
| Q41654576 | Identifying Multimodal Intermediate Phenotypes Between Genetic Risk Factors and Disease Status in Alzheimer's Disease |
| Q56989667 | Identifying Neuroimaging and Proteomic Biomarkers for MCI and AD via the Elastic Net |
| Q33758462 | Identifying informative imaging biomarkers via tree structured sparse learning for AD diagnosis |
| Q35675849 | Identifying quantitative trait loci via group-sparse multitask regression and feature selection: an imaging genetics study of the ADNI cohort |
| Q36385288 | Imaging-based enrichment criteria using deep learning algorithms for efficient clinical trials in mild cognitive impairment |
| Q26801629 | Impact of the Alzheimer's Disease Neuroimaging Initiative, 2004 to 2014 |
| Q38992067 | Improved Diagnostic Multimodal Biomarkers for Alzheimer's Disease and Mild Cognitive Impairment. |
| Q35691484 | Inclusion of Neuropsychological Scores in Atrophy Models Improves Diagnostic Classification of Alzheimer's Disease and Mild Cognitive Impairment |
| Q42374123 | Incremental value of biomarker combinations to predict progression of mild cognitive impairment to Alzheimer's dementia |
| Q36141606 | Individual classification of ADHD patients by integrating multiscale neuroimaging markers and advanced pattern recognition techniques |
| Q34500685 | Inherent Structure-Based Multiview Learning With Multitemplate Feature Representation for Alzheimer's Disease Diagnosis |
| Q34715688 | Integrated cortical structural marker for Alzheimer's disease |
| Q91320613 | Integrating machining learning and multimodal neuroimaging to detect schizophrenia at the level of the individual |
| Q57817570 | Integrating the Local Property and Topological Structure in the Minimum Spanning Tree Brain Functional Network for Classification of Early Mild Cognitive Impairment |
| Q33930504 | Integration of network topological and connectivity properties for neuroimaging classification |
| Q35057028 | Integration of sparse multi-modality representation and anatomical constraint for isointense infant brain MR image segmentation |
| Q52558552 | Integration of temporal and spatial properties of dynamic connectivity networks for automatic diagnosis of brain disease. |
| Q30867397 | Integrative analysis of multi-dimensional imaging genomics data for Alzheimer's disease prediction |
| Q38542025 | Integrative biomarker discovery in neurodegenerative diseases |
| Q37361078 | Inter-modality relationship constrained multi-modality multi-task feature selection for Alzheimer's Disease and mild cognitive impairment identification |
| Q35700989 | Introduction to special issue: Overview of Alzheimer's Disease Neuroimaging Initiative |
| Q35838401 | Joint Coupled-Feature Representation and Coupled Boosting for AD Diagnosis |
| Q31107850 | Joint feature-sample selection and robust diagnosis of Parkinson's disease from MRI data |
| Q52566501 | Joint regression and classification via relational regularization for Parkinson's disease diagnosis. |
| Q41873336 | KERNEL-BASED MULTI-TASK JOINT SPARSE CLASSIFICATION FOR ALZHEIMER'S DISEASE. |
| Q34501872 | Label-aligned multi-task feature learning for multimodal classification of Alzheimer's disease and mild cognitive impairment |
| Q42133275 | Lack of Correlation of WAIS Digit Span with Clox 1 and the Dementia Rating Scale in MCI |
| Q87250243 | Large deformation image classification using generalized locality-constrained linear coding |
| Q33787457 | Latent feature representation with stacked auto-encoder for AD/MCI diagnosis |
| Q42935590 | Learning to rank atlases for multiple-atlas segmentation |
| Q64110111 | Learning using privileged information improves neuroimaging-based CAD of Alzheimer's disease: a comparative study |
| Q59791274 | Levels of Cortisol in CSF Are Associated With SNAP-25 and Tau Pathology but Not Amyloid-β |
| Q37274971 | Locally linear embedding (LLE) for MRI based Alzheimer's disease classification |
| Q37678947 | Longitudinal Analysis for Disease Progression via Simultaneous Multi-Relational Temporal-Fused Learning |
| Q55383772 | Low-Rank Graph-Regularized Structured Sparse Regression for Identifying Genetic Biomarkers. |
| Q88002001 | MR-assisted PET motion correction in simultaneous PET/MRI studies of dementia subjects |
| Q37644769 | MS4A6A genotypes are associated with the atrophy rates of Alzheimer's disease related brain structures |
| Q30766514 | MULTIMODAL CLASSIFICATION OF DEMENTIA USING FUNCTIONAL DATA, ANATOMICAL FEATURES AND 3D INVARIANT SHAPE DESCRIPTORS. |
| Q45956072 | Machine learning framework for early MRI-based Alzheimer's conversion prediction in MCI subjects. |
| Q57185306 | Machine learning in neuroimaging: Progress and challenges |
| Q47175596 | Magnetic resonance support vector machine discriminates essential tremor with rest tremor from tremor-dominant Parkinson disease |
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| Q62497995 | Multifold Bayesian kernelization in Alzheimer's diagnosis |
| Q39447063 | Multimodal Classification of Mild Cognitive Impairment Based on Partial Least Squares |
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