Spatial patterns of brain atrophy in MCI patients, identified via high-dimensional pattern classification, predict subsequent cognitive decline
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Semi-supervised cluster analysis of imaging dataGenerative-discriminative basis learning for medical imagingThe Alzheimer's Disease Neuroimaging Initiative: a review of papers published since its inceptionMultivariate pattern recognition for diagnosis and prognosis in clinical neuroimaging: state of the art, current challenges and future trendsUsing support vector machines with multiple indices of diffusion for automated classification of mild cognitive impairmentIndividual subject classification of mixed dementia from pure subcortical vascular dementia based on subcortical shape analysisA Subset of Cerebrospinal Fluid Proteins from a Multi-Analyte Panel Associated with Brain Atrophy, Disease Classification and Prediction in Alzheimer's DiseaseThe Alzheimer's disease neuroimaging initiative: progress report and future plansAccuracy of dementia diagnosis: a direct comparison between radiologists and a computerized methodUse of neuroanatomical pattern classification to identify subjects in at-risk mental states of psychosis and predict disease transitionHigh-throughput, fully automated volumetry for prediction of MMSE and CDR decline in mild cognitive impairmentNeuroimaging of dementia in 2013: what radiologists need to know.Neuroimaging-based biomarkers in psychiatry: clinical opportunities of a paradigm shift.Combining PET images and neuropsychological test data for automatic diagnosis of Alzheimer's diseaseAdvances in MRI biomarkers for the diagnosis of Alzheimer's disease.Spatial component analysis of MRI data for Alzheimer's disease diagnosis: a Bayesian network approach.2014 Update of the Alzheimer's Disease Neuroimaging Initiative: A review of papers published since its inception.Relationship between plasma analytes and SPARE-AD defined brain atrophy patterns in ADNIPredicting primary progressive aphasias with support vector machine approaches in structural MRI data.Alzheimer disease: quantitative structural neuroimaging for detection and prediction of clinical and structural changes in mild cognitive impairmentApplications of multivariate pattern classification analyses in developmental neuroimaging of healthy and clinical populationsMulti-task linear programming discriminant analysis for the identification of progressive MCI individuals.Automatic detection of preclinical neurodegeneration: presymptomatic Huntington disease.Conversion Discriminative Analysis on Mild Cognitive Impairment Using Multiple Cortical Features from MR Images.Electroconvulsive therapy-induced brain functional connectivity predicts therapeutic efficacy in patients with schizophrenia: a multivariate pattern recognition studyAutomated detection of brain atrophy patterns based on MRI for the prediction of Alzheimer's disease.Multi-Domain Transfer Learning for Early Diagnosis of Alzheimer's DiseaseQuantitative structural MRI for early detection of Alzheimer's disease.Longitudinal deformation models, spatial regularizations and learning strategies to quantify Alzheimer's disease progression.Brain substrates of learning and retention in mild cognitive impairment diagnosis and progression to Alzheimer's diseaseClassification of Alzheimer disease, mild cognitive impairment, and normal cognitive status with large-scale network analysis based on resting-state functional MR imaging.APOE Affects the Volume and Shape of the Amygdala and the Hippocampus in Mild Cognitive Impairment and Alzheimer's Disease: Age MattersNew tools for the study of Alzheimer's disease: what are biomarkers and morphometric markers teaching us?Application of a MRI based index to longitudinal atrophy change in Alzheimer disease, mild cognitive impairment and healthy older individuals in the AddNeuroMed cohort.Decoding continuous variables from neuroimaging data: basic and clinical applications.Neuroprediction, Violence, and the Law: Setting the StageIdentification of conversion from mild cognitive impairment to Alzheimer's disease using multivariate predictorsHierarchical anatomical brain networks for MCI prediction: revisiting volumetric measuresLongitudinal MRI atrophy biomarkers: relationship to conversion in the ADNI cohortAbnormal changes of multidimensional surface features using multivariate pattern classification in amnestic mild cognitive impairment patients
P2860
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P2860
Spatial patterns of brain atrophy in MCI patients, identified via high-dimensional pattern classification, predict subsequent cognitive decline
description
2008 nî lūn-bûn
@nan
2008 թուականի Փետրուարին հրատարակուած գիտական յօդուած
@hyw
2008 թվականի փետրվարին հրատարակված գիտական հոդված
@hy
2008年の論文
@ja
2008年論文
@yue
2008年論文
@zh-hant
2008年論文
@zh-hk
2008年論文
@zh-mo
2008年論文
@zh-tw
2008年论文
@wuu
name
Spatial patterns of brain atro ...... t subsequent cognitive decline
@ast
Spatial patterns of brain atro ...... t subsequent cognitive decline
@en
Spatial patterns of brain atro ...... t subsequent cognitive decline
@nl
type
label
Spatial patterns of brain atro ...... t subsequent cognitive decline
@ast
Spatial patterns of brain atro ...... t subsequent cognitive decline
@en
Spatial patterns of brain atro ...... t subsequent cognitive decline
@nl
prefLabel
Spatial patterns of brain atro ...... t subsequent cognitive decline
@ast
Spatial patterns of brain atro ...... t subsequent cognitive decline
@en
Spatial patterns of brain atro ...... t subsequent cognitive decline
@nl
P2093
P2860
P3181
P1433
P1476
Spatial patterns of brain atro ...... t subsequent cognitive decline
@en
P2093
Chris M Clark
Nematollah Batmanghelich
P2860
P304
P3181
P356
10.1016/J.NEUROIMAGE.2007.10.031
P407
P577
2008-02-15T00:00:00Z