Identifying the neuroanatomical basis of cognitive impairment in Alzheimer's disease by correlation-and nonlinearity-aware sparse bayesian learning

IEEE Transactions on Medical Imaging

Volumn 33, Issue 7, 2014, Pages 1475-1487

  Wan, Jing ^a,b,c   Zhang, Zhilin ^d,e   Rao, Bhaskar D ^e   Fang, Shiaofen ^b,c   Yan, Jingwen ^a   Saykin, Andrew J ^a   Shen, Li ^a  

^a INDIANA UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b PURDUE UNIVERSITY   (United States)

^c Department of Radiology and Imaging Sciences Indiana University School OfMedicine ^*

^d SAMSUNG RESEARCH AMERICA   (United States)

^e UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Alzheimer's disease (AD); cognitive Impairment; neuroimaging; sparse Bayesian learning (SBL)

Indexed keywords

FORECASTING; MAGNETIC RESONANCE IMAGING; NEURODEGENERATIVE DISEASES; NEUROIMAGING; REGRESSION ANALYSIS;

ALZHEIMER'S DISEASE; COGNITIVE IMPAIRMENT; LINEAR REGRESSION PROBLEMS; MULTIVARIATE REGRESSION MODELS; NON-LINEAR RELATIONSHIPS; REGRESSION COEFFICIENT VECTOR; SPARSE BAYESIAN LEARNING; SPARSE BAYESIAN LEARNING (SBL);

MATHEMATICAL MODELS;

ALZHEIMER DISEASE; ARTICLE; BAYESIAN LEARNING; CLINICAL OBSERVATION; COGNITIVE DEFECT; COMPUTER PREDICTION; CONTROLLED STUDY; HUMAN; LEARNING ALGORITHM; MAJOR CLINICAL STUDY; MEASUREMENT ACCURACY; MENTAL PERFORMANCE; NEUROANATOMY; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; NUCLEAR MAGNETIC RESONANCE SCANNER; POSITRON EMISSION TOMOGRAPHY; RANDOMIZED CONTROLLED TRIAL; ALGORITHM; BAYES THEOREM; IMAGE PROCESSING; MULTIVARIATE ANALYSIS; PATHOLOGY; PATHOPHYSIOLOGY; PROCEDURES; REGRESSION ANALYSIS;

ALGORITHMS; ALZHEIMER DISEASE; BAYES THEOREM; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MULTIVARIATE ANALYSIS; NEUROIMAGING; REGRESSION ANALYSIS;

EID: 84903786312     PISSN: 02780062     EISSN: 1558254X     Source Type: Journal    
DOI: 10.1109/TMI.2014.2314712     Document Type: Article

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