| scholarly article | Q13442814 |
| P819 | ADS bibcode | 2011PLoSO...621935Z |
| P356 | DOI | 10.1371/JOURNAL.PONE.0021935 |
| P953 | full work available at URL | http://dx.plos.org/10.1371/journal.pone.0021935 |
| https://europepmc.org/articles/PMC3139571 | ||
| https://europepmc.org/articles/PMC3139571?pdf=render | ||
| https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0021935&type=printable | ||
| P932 | PMC publication ID | 3139571 |
| P698 | PubMed publication ID | 21818280 |
| P5875 | ResearchGate publication ID | 51548839 |
| P50 | author | Alzheimer's Disease Neuroimaging Initiative | Q4738819 |
| Dinggang Shen | Q66730599 | ||
| Luping Zhou | Q130800869 | ||
| P2093 | author name string | Yang Li | |
| Yaping Wang | |||
| Pew-Thian Yap | |||
| Alzheimer's Disease Neuroimaging Initiative (ADNI) | |||
| P2860 | cites work | 3D Anatomical Atlas of the Human Brain | Q129225600 |
| Rate of medial temporal lobe atrophy in typical aging and Alzheimer's disease | Q37402317 | ||
| Staging of Alzheimer's disease-related neurofibrillary changes | Q40416705 | ||
| Specific hippocampal volume reductions in individuals at risk for Alzheimer's disease. | Q40901287 | ||
| COMPARE: classification of morphological patterns using adaptive regional elements. | Q45965571 | ||
| Morphological classification of brains via high-dimensional shape transformations and machine learning methods. | Q45966871 | ||
| Dynamics of gray matter loss in Alzheimer's disease. | Q46191030 | ||
| Automated cortical thickness measurements from MRI can accurately separate Alzheimer's patients from normal elderly controls | Q48373578 | ||
| Very high-resolution morphometry using mass-preserving deformations and HAMMER elastic registration | Q48416181 | ||
| The fornix and mammillary bodies in older adults with Alzheimer's disease, mild cognitive impairment, and cognitive complaints: a volumetric MRI study | Q48442570 | ||
| Cortical change in Alzheimer's disease detected with a disease-specific population-based brain atlas | Q49160979 | ||
| Discrimination between Alzheimer disease, mild cognitive impairment, and normal aging by using automated segmentation of the hippocampus. | Q51887004 | ||
| Gene Selection for Cancer Classification using Support Vector Machines | Q56535529 | ||
| Classification of structural images via high-dimensional image warping, robust feature extraction, and SVM | Q62491766 | ||
| Spatial patterns of brain atrophy in MCI patients, identified via high-dimensional pattern classification, predict subsequent cognitive decline | Q24630962 | ||
| The Alzheimer's Disease Neuroimaging Initiative (ADNI): MRI methods | Q24647259 | ||
| Clinical diagnosis of Alzheimer's disease: report of the NINCDS-ADRDA Work Group under the auspices of Department of Health and Human Services Task Force on Alzheimer's Disease | Q27860795 | ||
| Focal posterior cingulate atrophy in incipient Alzheimer's disease | Q28278829 | ||
| A resilient, low-frequency, small-world human brain functional network with highly connected association cortical hubs | Q29618997 | ||
| Early diagnosis of Alzheimer's disease: contribution of structural neuroimaging | Q30770505 | ||
| Structural and functional biomarkers of prodromal Alzheimer's disease: a high-dimensional pattern classification study | Q31152078 | ||
| A nonparametric method for automatic correction of intensity nonuniformity in MRI data | Q32061718 | ||
| Fully automatic hippocampus segmentation and classification in Alzheimer's disease and mild cognitive impairment applied on data from ADNI | Q33444954 | ||
| Automatic classification of patients with Alzheimer's disease from structural MRI: a comparison of ten methods using the ADNI database | Q34120412 | ||
| Support vector machine-based classification of Alzheimer's disease from whole-brain anatomical MRI. | Q34850136 | ||
| White matter damage in Alzheimer's disease assessed in vivo using diffusion tensor magnetic resonance imaging | Q35467884 | ||
| Mapping cortical change in Alzheimer's disease, brain development, and schizophrenia | Q35925993 | ||
| Detection of prodromal Alzheimer's disease via pattern classification of magnetic resonance imaging | Q36571382 | ||
| Small-world brain networks | Q36641851 | ||
| Automatic classification of MR scans in Alzheimer's disease | Q36965246 | ||
| The cortical signature of Alzheimer's disease: regionally specific cortical thinning relates to symptom severity in very mild to mild AD dementia and is detectable in asymptomatic amyloid-positive individuals | Q37090083 | ||
| Ventricular enlargement as a possible measure of Alzheimer's disease progression validated using the Alzheimer's disease neuroimaging initiative database | Q37300216 | ||
| Medial temporal atrophy on MRI in normal aging and very mild Alzheimer's disease | Q37314982 | ||
| P275 | copyright license | Creative Commons Attribution 4.0 International | Q20007257 |
| P6216 | copyright status | copyrighted | Q50423863 |
| P433 | issue | 7 | |
| P407 | language of work or name | English | Q1860 |
| P304 | page(s) | e21935 | |
| P577 | publication date | 2011-07-19 | |
| P1433 | published in | PLOS One | Q564954 |
| P1476 | title | Hierarchical anatomical brain networks for MCI prediction: revisiting volumetric measures | |
| Hierarchical Anatomical Brain Networks for MCI Prediction: Revisiting Volumetric Measures | |||
| P478 | volume | 6 |
| Q34066974 | A novel matrix-similarity based loss function for joint regression and classification in AD diagnosis |
| Q36889357 | A novel relational regularization feature selection method for joint regression and classification in AD diagnosis |
| Q30687080 | Analysis of sampling techniques for imbalanced data: An n = 648 ADNI study |
| Q89035900 | Brain MRI analysis for Alzheimer's disease diagnosis using an ensemble system of deep convolutional neural networks |
| Q51735549 | Brain multiplexes reveal morphological connectional biomarkers fingerprinting late brain dementia states |
| Q89547721 | Brain-Wide Genome-Wide Association Study for Alzheimer's Disease via Joint Projection Learning and Sparse Regression Model |
| Q91657122 | Classification and Visualization of Alzheimer's Disease using Volumetric Convolutional Neural Network and Transfer Learning |
| Q47555784 | Classification of Alzheimer's Disease, Mild Cognitive Impairment, and Cognitively Unimpaired Individuals Using Multi-feature Kernel Discriminant Dictionary Learning |
| Q36905873 | Comparing connectivity pattern and small-world organization between structural correlation and resting-state networks in healthy adults |
| Q33600286 | Construction of Individual Morphological Brain Networks with Multiple Morphometric Features |
| Q36109121 | Estimating individual contribution from group-based structural correlation networks |
| Q33782862 | Frequent and discriminative subnetwork mining for mild cognitive impairment classification |
| 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 |
| Q40279123 | Identification of progressive mild cognitive impairment patients using incomplete longitudinal MRI scans |
| Q33758462 | Identifying informative imaging biomarkers via tree structured sparse learning for AD diagnosis |
| Q34807077 | Influence of Choice of Null Network on Small-World Parameters of Structural Correlation Networks |
| Q30867397 | Integrative analysis of multi-dimensional imaging genomics data for Alzheimer's disease prediction |
| Q33787457 | Latent feature representation with stacked auto-encoder for AD/MCI diagnosis |
| Q41534825 | Loss of brain inter-frequency hubs in Alzheimer's disease. |
| Q33599733 | Multi-task linear programming discriminant analysis for the identification of progressive MCI individuals |
| Q34639435 | Single-subject grey matter graphs in Alzheimer's disease |
| Q36662138 | Single-subject morphological brain networks: connectivity mapping, topological characterization and test-retest reliability |
| Q37547899 | Sparse canonical correlation analysis relates network-level atrophy to multivariate cognitive measures in a neurodegenerative population |
| Q33961851 | Sparse multivariate autoregressive modeling for mild cognitive impairment classification |
| Q89967942 | Study on structural atrophy changes and functional connectivity measures in Alzheimer's disease |
| Q34014381 | Subclass-based multi-task learning for Alzheimer's disease diagnosis |
| Q35748861 | Supervised Discriminative Group Sparse Representation for Mild Cognitive Impairment Diagnosis |
| Q33976128 | Topological graph kernel on multiple thresholded functional connectivity networks for mild cognitive impairment classification |
Search more.