Structural and functional biomarkers of prodromal Alzheimer's disease: a high-dimensional pattern classification study.
about
Multivariate pattern recognition for diagnosis and prognosis in clinical neuroimaging: state of the art, current challenges and future trendsTowards the identification of imaging biomarkers in schizophrenia, using multivariate pattern classification at a single-subject levelUsing support vector machines with multiple indices of diffusion for automated classification of mild cognitive impairmentBrain structure-function associations identified in large-scale neuroimaging data.Robust automated detection of microstructural white matter degeneration in Alzheimer's disease using machine learning classification of multicenter DTI dataGenerative embedding for model-based classification of fMRI data.Autonomic dysfunction in mild cognitive impairment: evidence from power spectral analysis of heart rate variability in a cross-sectional case-control study.Spatially aggregated multiclass pattern classification in functional MRI using optimally selected functional brain areasCombined analysis of sMRI and fMRI imaging data provides accurate disease markers for hearing impairment.Early recognition and disease prediction in the at-risk mental states for psychosis using neurocognitive pattern classification.Bi-level multi-source learning for heterogeneous block-wise missing data.Function-structure associations of the brain: evidence from multimodal connectivity and covariance studiesNeuroimaging and genetic risk for Alzheimer's disease and addiction-related degenerative brain disorders.Analysis of sampling techniques for imbalanced data: An n = 648 ADNI study.Neurodegenerative disease diagnosis using incomplete multi-modality data via matrix shrinkage and completion.An empirical comparison of different approaches for combining multimodal neuroimaging data with support vector machineAdvances in MRI biomarkers for the diagnosis of Alzheimer's disease.Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls.Increased cortical-limbic anatomical network connectivity in major depression revealed by diffusion tensor imagingElucidating a magnetic resonance imaging-based neuroanatomic biomarker for psychosis: classification analysis using probabilistic brain atlas and machine learning algorithmsApplications 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.Altered Functional Connectivity of the Basal Nucleus of Meynert in Mild Cognitive Impairment: A Resting-State fMRI Study.Electroconvulsive therapy-induced brain functional connectivity predicts therapeutic efficacy in patients with schizophrenia: a multivariate pattern recognition studyLongitudinal 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.Classification of Alzheimer disease, mild cognitive impairment, and normal cognitive status with large-scale network analysis based on resting-state functional MR imaging.Computer-assisted system for diagnosis of Alzheimer disease using data base- independent estimation and fluorodeoxyglucose- positron-emission tomography and 3D-stereotactic surface projection.Analysis of macular OCT images using deformable registration.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 measuresBoosting power for clinical trials using classifiers based on multiple biomarkers.Recurrent depressive symptoms and the incidence of dementia and mild cognitive impairment.Subregions of the inferior parietal lobule are affected in the progression to Alzheimer's diseaseFluorodeoxyglucose positron emission tomography of mild cognitive impairment with clinical follow-up at 3 yearsMulti-method analysis of MRI images in early diagnostics of Alzheimer's diseaseAlzheimer's disease pattern of brain atrophy predicts cognitive decline in Parkinson's diseasePartial least squares for discrimination in fMRI data.JointMMCC: joint maximum-margin classification and clustering of imaging data.
P2860
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P2860
Structural and functional biomarkers of prodromal Alzheimer's disease: a high-dimensional pattern classification study.
description
2008 nî lūn-bûn
@nan
2008 թուականի Մարտին հրատարակուած գիտական յօդուած
@hyw
2008 թվականի մարտին 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
Structural and functional biom ...... pattern classification study.
@ast
Structural and functional biom ...... pattern classification study.
@en
type
label
Structural and functional biom ...... pattern classification study.
@ast
Structural and functional biom ...... pattern classification study.
@en
prefLabel
Structural and functional biom ...... pattern classification study.
@ast
Structural and functional biom ...... pattern classification study.
@en
P2093
P2860
P1433
P1476
Structural and functional biom ...... pattern classification study.
@en
P2093
Susan M Resnick
Xiaoying Wu
P2860
P304
P356
10.1016/J.NEUROIMAGE.2008.02.043
P407
P577
2008-03-06T00:00:00Z