Variational variable selection to assess experimental condition relevance in event-related fMRI

Proceedings - International Symposium on Biomedical Imaging

Volumn , Issue , 2013, Pages 1508-1511

  Bakhous, Christine ^a,c   Forbes, Florence ^a   Vincent, Thomas ^a   Dojat, Michel ^c   Ciuciu, Philippe ^b  

^a UNIV GRENOBLE ALPES   (France)

^b DIF   (France)

^c GRENOBLE INSTITUT DES NEUROSCIENCES   (France)

Author keywords

Bayesian hierarchical modelling; Functional magnetic resonance imaging; Irrelevance detection; Joint detection estimation; Stimulus type selection

Indexed keywords

ACTIVATION DETECTION; BAYESIAN HIERARCHICAL MODELLING; EXPERIMENTAL CONDITIONS; FUNCTIONAL EXPLORATION; FUNCTIONAL MAGNETIC RESONANCE IMAGING; FUNCTIONAL MAGNETIC RESONANCE IMAGING (FMRI) ANALYSIS; HEMODYNAMIC RESPONSE FUNCTIONS; TYPE SELECTION;

ACTIVATION ANALYSIS; BRAIN; MAGNETIC RESONANCE IMAGING; MEDICAL IMAGING;

ADAPTIVE SYSTEMS;

EID: 84881655788     PISSN: 19457928     EISSN: 19458452     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2013.6556821     Document Type: Conference Paper

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