Effectiveness of the finite impulse response model in content-based fMRI image retrieval

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

Volumn 4792 LNCS, Issue PART 2, 2007, Pages 742-750

  Bai, Bing ^a   Kantor, Paul ^b   Shokoufandeh, Ali ^c  

^a RUTGERS UNIVERSITY   (United States)

^b Rutgers University

^c Drexel University

Author keywords

[No Author keywords available]

Indexed keywords

DATA STRUCTURES; FEATURE EXTRACTION; FIR FILTERS; HEMODYNAMICS; IMAGE RETRIEVAL; LINEAR REGRESSION;

FUNCTIONAL BRAIN IMAGES; HEMODYNAMIC RESPONSE FUNCTION (HRF);

MAGNETIC RESONANCE IMAGING;

ALGORITHM; ARTICLE; BIOLOGICAL MODEL; BRAIN; BRAIN MAPPING; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; EVOKED VISUAL RESPONSE; HUMAN; INFORMATION RETRIEVAL; METHODOLOGY; NERVE CELL NETWORK; NONLINEAR SYSTEM; NUCLEAR MAGNETIC RESONANCE IMAGING; PHYSIOLOGY; SIGNAL PROCESSING; VISION;

ALGORITHMS; BRAIN; BRAIN MAPPING; COMPUTER SIMULATION; EVOKED POTENTIALS, VISUAL; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFORMATION STORAGE AND RETRIEVAL; MAGNETIC RESONANCE IMAGING; MODELS, NEUROLOGICAL; NERVE NET; NONLINEAR DYNAMICS; SIGNAL PROCESSING, COMPUTER-ASSISTED; VISUAL PERCEPTION;

EID: 84860350632     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-75759-7_90     Document Type: Conference Paper

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