Multimodal neuroimaging predictors for cognitive performance using structured sparse learning

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7509 LNCS, Issue , 2012, Pages 1-17

  Yan, Jingwen ^a,b   Risacher, Shannon L ^a   Kim, Sungeun ^a   Simon, Jacqueline C ^a,c   Li, Taiyong ^a,d   Wan, Jing ^a,b   Wang, Hua ^e   Huang, Heng ^e   Saykin, Andrew J ^a   Shen, Li ^a,b  

^a INDIANA UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b INDIANA UNIVERSITY   (United States)

^c ROSE HULMAN INSTITUTE OF TECHNOLOGY   (United States)

^d SOUTHWESTERN UNIVERSITY OF FINANCE AND ECONOMICS   (China)

^e The University of Texas at Arlington   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALZHEIMER'S DISEASE; COGNITIVE IMPAIRMENT; COGNITIVE PERFORMANCE; MULTI-MODAL; OPTIMAL SOLUTIONS; PET SCAN; PREDICTIVE PERFORMANCE; REGRESSION MODEL; RIDGE REGRESSION;

IMAGE ANALYSIS; REGRESSION ANALYSIS;

NEUROIMAGING;

EID: 84868251950     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-33530-3_1     Document Type: Conference Paper

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