Identification of subject specific and functional consistent ROIs using semi-supervised learning

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 8314, Issue , 2012, Pages

  Du, Yuhui ^a,b   Li, Hongming ^a   Wu, Hong ^c   Fan, Yong ^a  

^a INSTITUTE OF AUTOMATION   (China)

^b NORTH UNIVERSITY OF CHINA   (China)

^c UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA   (China)

Author keywords

fMRI; Functional connectivity; Regions of interests; Semi supervised learning

Indexed keywords

ANATOMICAL INFORMATION; BRAIN NETWORKS; CLUSTERING ANALYSIS; CORRELATION ANALYSIS; FMRI; FMRI DATA; FUNCTIONAL CONNECTIVITY; PRIOR KNOWLEDGE; REGION GROWING; REGION-BASED; REGIONS OF INTEREST; RESTING STATE; SEMI-SUPERVISED LEARNING; SEMI-SUPERVISED LEARNING METHODS; SUBJECT-SPECIFIC;

EXPERIMENTS; FUNCTIONAL NEUROIMAGING; GRAPH THEORY; IMAGE PROCESSING; MEDICAL IMAGING;

SUPERVISED LEARNING;

EID: 84860750283     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.911248     Document Type: Conference Paper

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