Support vector machine-based classification of Alzheimer's disease from whole-brain anatomical MRI. - Wikidata - awgldk - TriplyDB

Support vector machine-based classification of Alzheimer's disease from whole-brain anatomical MRI.

Support vector machine-based classification of Alzheimer's disease from whole-brain anatomical MRI.

http://www.wikidata.org/entity/Q34850136

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Using support vector machines with multiple indices of diffusion for automated classification of mild cognitive impairment A review of feature reduction techniques in neuroimaging Multivariate models of inter-subject anatomical variability Independent component analysis-based classification of Alzheimer's disease MRI data.Extreme learning machine-based classification of ADHD using brain structural MRI data Use of resting-state functional MRI to study brain development and injury in neonates Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls.Brain classification reveals the right cerebellum as the best biomarker of dyslexia.Multi-task linear programming discriminant analysis for the identification of progressive MCI individuals.Development of a brain MRI-based hidden Markov model for dementia recognition.Longitudinal deformation models, spatial regularizations and learning strategies to quantify Alzheimer's disease progression.Individual classification of children with epilepsy using support vector machine with multiple indices of diffusion tensor imaging.Identifying informative imaging biomarkers via tree structured sparse learning for AD diagnosis Predicting two-year survival versus non-survival after first myocardial infarction using machine learning and Swedish national register data.Application of a MRI based index to longitudinal atrophy change in Alzheimer disease, mild cognitive impairment and healthy older individuals in the AddNeuroMed cohort.Feature selective temporal prediction of Alzheimer's disease progression using hippocampus surface morphometry.MRI pattern recognition in multiple sclerosis normal-appearing brain areas.Diagnosis of autism spectrum disorders using regional and interregional morphological features.Hierarchical anatomical brain networks for MCI prediction: revisiting volumetric measures Hierarchical fusion of features and classifier decisions for Alzheimer's disease diagnosis.Individual subject classification for Alzheimer's disease based on incremental learning using a spatial frequency representation of cortical thickness data.High dimensional classification of structural MRI Alzheimer's disease data based on large scale regularization.An ensemble-of-classifiers based approach for early diagnosis of Alzheimer's disease: classification using structural features of brain images.Pattern classification of large-scale functional brain networks: identification of informative neuroimaging markers for epilepsy A Support Vector Machine based method to distinguish proteobacterial proteins from eukaryotic plant proteins.Classification of structural MRI images in Alzheimer's disease from the perspective of ill-posed problems.Label-aligned multi-task feature learning for multimodal classification of Alzheimer's disease and mild cognitive impairment.Annual research review: progress in using brain morphometry as a clinical tool for diagnosing psychiatric disorders.Automatic Prediction of Conversion from Mild Cognitive Impairment to Probable Alzheimer's Disease using Structural Magnetic Resonance Imaging Framingham Coronary Heart Disease Risk Score Can be Predicted from Structural Brain Images in Elderly Subjects.Multimodal classification of Alzheimer's disease and mild cognitive impairment.Integrated cortical structural marker for Alzheimer's disease.Sparse network-based models for patient classification using fMRI.Diffusion weighted imaging-based maximum density path analysis and classification of Alzheimer's disease Automated Classification to Predict the Progression of Alzheimer's Disease Using Whole-Brain Volumetry and DTI Automatic ROI selection in structural brain MRI using SOM 3D projection.Use of brain MRI atlases to determine boundaries of age-related pathology: the importance of statistical method.Multimodal Discrimination of Alzheimer's Disease Based on Regional Cortical Atrophy and Hypometabolism.Effects of hardware heterogeneity on the performance of SVM Alzheimer's disease classifier.Inclusion of Neuropsychological Scores in Atrophy Models Improves Diagnostic Classification of Alzheimer's Disease and Mild Cognitive Impairment

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Support vector machine-based classification of Alzheimer's disease from whole-brain anatomical MRI.

http://www.wikidata.org/entity/Q34850136

description

2008 nî lūn-bûn

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Support vector machine-based c ...... om whole-brain anatomical MRI.

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Benoît Magnin

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Habib Benali

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Lilia Mesrob

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Marie Sarazin

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Mélanie Pélégrini-Issac

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Olivier Colliot

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Serge Kinkingnéhun

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Stéphane Lehéricy

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P2860

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

The Clinical Dementia Rating (CDR): current version and scoring rules

The FAB: a Frontal Assessment Battery at bedside.

Predictors of disease course in patients with probable Alzheimer's disease.

Utility of extrapyramidal signs and psychosis as predictors of cognitive and functional decline, nursing home admission, and death in Alzheimer's disease: prospective analyses from the Predictors Study.

Hippocampal and entorhinal cortex atrophy in frontotemporal dementia and Alzheimer's disease.

MR-based hippocampal volumetry in the diagnosis of Alzheimer's disease.

A selective impairment of hand posture for object utilization in apraxia.

Usefulness of MRI measures of entorhinal cortex versus hippocampus in AD.

A study of performance on tests from the CANTAB battery sensitive to frontal lobe dysfunction in a large sample of normal volunteers: Implications for theories of executive functioning and cognitive aging

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1023512900

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Alzheimer's disease

support vector machine

vector-borne disease