A parcellation scheme based on von Mises-Fisher distributions and Markov random fields for segmenting brain regions using resting-state fMRI

NeuroImage

Volumn 65, Issue , 2013, Pages 83-96

  Ryali, Srikanth ^a   Chen, Tianwen ^a   Supekar, Kaustubh ^a   Menon, Vinod ^a  

^a STANFORD UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

expansion; Data clustering; Graph cuts; Markov random fields; Parcellation; Resting state fMRI; Segmentation

Indexed keywords

ADULT; ALGORITHM; ARTICLE; BRAIN MAPPING; BRAIN REGION; CLUSTER ANALYSIS; COMPUTER SIMULATION; DATA PROCESSING; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; INFERIOR FRONTAL GYRUS; INSULA; MARKOV RANDOM FIELD; MOTOR CORTEX; NEUROIMAGING; NORMAL HUMAN; PARCELLATION; POSTERIOR PARACENTRAL LOBULE; PRE SUPPLEMENTARY MOTOR AREA; PRIMARY AUDITORY CORTEX; PRIORITY JOURNAL; STEADY STATE; SUPERIOR PARIETAL LOBULE; SUPPLEMENTARY MOTOR AREA; VISUAL CORTEX; VON MISES FISHER DISTRIBUTION;

ALGORITHMS; BRAIN; BRAIN MAPPING; CLUSTER ANALYSIS; HUMANS; MAGNETIC RESONANCE IMAGING; MODELS, NEUROLOGICAL; MODELS, THEORETICAL;

EID: 84868247319     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2012.09.067     Document Type: Article

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