Detecting brain activation in fMRI using group random walker

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

Volumn 6362 LNCS, Issue PART 2, 2010, Pages 331-338

  Ng, Bernard ^a   Hamarneh, Ghassan ^b   Abugharbieh, Rafeef ^a  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

^b SIMON FRASER UNIVERSITY   (Canada)

Author keywords

fMRI; graphical models; group analysis; random walker

Indexed keywords

ACTIVATION MAPS; BRAIN ACTIVATION; CLOSED FORM SOLUTIONS; COMPLEX NOISE; FMRI; FUNCTIONAL MAGNETIC RESONANCE IMAGING; GLOBAL OPTIMALITY; GRAPH-THEORETIC METHODS; GRAPHICAL MODEL; GROUP ANALYSIS; NEIGHBORHOOD SYSTEMS; RANDOM WALKERS; STANDARD ANALYSIS; SYNTHETIC AND REAL DATA;

GRAPH THEORY; GRAPHIC METHODS; MEDICAL COMPUTING; MEDICAL IMAGING; RESONANCE;

MAGNETIC RESONANCE IMAGING;

ALGORITHM; ARTICLE; BRAIN; BRAIN MAPPING; COMPUTER ASSISTED DIAGNOSIS; EVALUATION; EVOKED RESPONSE; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PHYSIOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS; VALIDATION STUDY;

ALGORITHMS; BRAIN; BRAIN MAPPING; DATA INTERPRETATION, STATISTICAL; EVOKED POTENTIALS; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84883831968     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15745-5_41     Document Type: Conference Paper

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