Multi-task feature selection via supervised canonical graph matching for diagnosis of autism spectrum disorder

Brain Imaging and Behavior

Volumn 10, Issue 1, 2016, Pages 33-40

  Wang, Liye ^a,b   Wee, Chong Yaw ^b   Tang, Xiaoying ^a   Yap, Pew Thian ^b   Shen, Dinggang ^b,c  

^a BEIJING INSTITUTE OF TECHNOLOGY   (China)

^b UNIVERSITY OF NORTH CAROLINA SCHOOL OF MEDICINE   (United States)

^c Korea University   (South Korea)

Author keywords

Diagnosis of autism spectrum disorder; Magnetic resonance imaging (MRI); Multi task feature selection

Indexed keywords

ARTICLE; AUTISM; CHILD; COMPARATIVE STUDY; CORRELATION ANALYSIS; FEMALE; GRAY MATTER; HUMAN; INTELLIGENCE QUOTIENT; MAJOR CLINICAL STUDY; MALE; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; SOCIAL ADAPTATION; WHITE MATTER; AUTISM SPECTRUM DISORDER; BRAIN; COMPUTER ASSISTED DIAGNOSIS; DIAGNOSTIC IMAGING; INFORMATION PROCESSING; PROCEDURES; RECEIVER OPERATING CHARACTERISTIC; SUPPORT VECTOR MACHINE; VALIDATION STUDY;

AUTISM SPECTRUM DISORDER; BRAIN; CHILD; DATASETS AS TOPIC; FEMALE; GRAY MATTER; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; ROC CURVE; SUPPORT VECTOR MACHINE; WHITE MATTER;

EID: 84959885318     PISSN: 19317557     EISSN: 19317565     Source Type: Journal    
DOI: 10.1007/s11682-015-9360-1     Document Type: Article

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