ICA-based sparse features recovery from fMRI datasets

2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings

Volumn , Issue , 2010, Pages 1177-1180

  Varoquaux, Gaël ^a,b   Keller, Merlin ^a,b   Poline, Jean Baptiste ^b   Ciuciu, Philippe ^b   Thirion, Bertrand ^a,b  

^a INRIA   (France)

^b CEA SACLAY   (France)

Author keywords

fMRI; ICA; ROC; Sparse models

Indexed keywords

BRAIN NETWORKS; BRAIN PATHOLOGIES; DATA SETS; FEATURE DETECTION; FMRI; FMRI DATA; FUNCTIONAL MAGNETIC RESONANCE IMAGING; INDEPENDENT COMPONENTS; MIXING MODELS; SALIENT FEATURES; SENSITIVITY AND SPECIFICITY; STATE-OF-THE-ART APPROACH; THRESHOLDING;

FEATURE EXTRACTION; HEMODYNAMICS; MAGNETIC RESONANCE IMAGING; MEDICAL IMAGING; RESONANCE;

INDEPENDENT COMPONENT ANALYSIS;

EID: 77955178879     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2010.5490204     Document Type: Conference Paper

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