Comparison of two exploratory data analysis methods for fMRI: Unsupervised clustering versus independent component analysis

IEEE Transactions on Information Technology in Biomedicine

Volumn 8, Issue 3, 2004, Pages 387-398

  Meyer Baese, A ^a   Wismueller, Axel ^b   Lange, Oliver ^a  

^a FLORIDA STATE UNIVERSITY   (United States)

^b UNIVERSITY OF MUNICH   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN; FEATURE EXTRACTION; FUZZY SETS; INDEPENDENT COMPONENT ANALYSIS; MAGNETIC RESONANCE IMAGING; NEUROLOGY; PRINCIPAL COMPONENT ANALYSIS; SELF ORGANIZING MAPS; VECTOR QUANTIZATION;

FUNCTIONAL MAGNETIC RESONANCE IMAGING; MINIMAL FREE ENERGY VECTOR QUANTIZATION; UNSUPERVISED CLUSTERING;

MEDICAL IMAGING;

ADULT; ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; BRAIN; BRAIN MAPPING; CLINICAL TRIAL; CLUSTER ANALYSIS; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; EVOKED VISUAL RESPONSE; FEMALE; HUMAN; MALE; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PHYSIOLOGY; PRINCIPAL COMPONENT ANALYSIS; VALIDATION STUDY;

ADULT; ALGORITHMS; ARTIFICIAL INTELLIGENCE; BRAIN; BRAIN MAPPING; CLUSTER ANALYSIS; EVOKED POTENTIALS, VISUAL; FEMALE; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; NEURAL NETWORKS (COMPUTER); PRINCIPAL COMPONENT ANALYSIS;

EID: 4644351142     PISSN: 10897771     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITB.2004.834406     Document Type: Article

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