Semi-blind ICA of FMRI: A method for utilizing hypothesis-derived time courses in a spatial ICA analysis

Machine Learning for Signal Processing XIV - Proceedings of the 2004 IEEE Signal Processing Society Workshop

Volumn , Issue , 2004, Pages 443-452

  Calhoun, V ^a,b   Adali, T ^c  

^a INSTITUTE OF LIVING   (United States)

^b YALE UNIVERSITY SCHOOL OF MEDICINE   (United States)

^c UNIVERSITY OF MARYLAND BALTIMORE COUNTY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FUNCTIONAL MAGNETIC RESONANCE IMAGING (FMRI); GENERAL LINEAR MODELING (GLM); INFORMATION ACCURACY; STATISTICAL MOMENTS;

ALGORITHMS; BLIND SOURCE SEPARATION; COMPUTER SIMULATION; CONSTRAINT THEORY; FUNCTIONS; INFORMATION ANALYSIS; MAGNETIC RESONANCE IMAGING; MATRIX ALGEBRA; PRINCIPAL COMPONENT ANALYSIS; REGRESSION ANALYSIS;

INDEPENDENT COMPONENT ANALYSIS;

EID: 17644372786     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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