Multivariate group effect analysis in functional magnetic resonance imaging

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

Volumn 2732, Issue , 2003, Pages 548-559

  Benali, Habib ^a,c   Mattout, Jérémie ^a,b,c   Pélégrini Issac, Mélanie ^a,c  

^a INSERM   (France)

^b UNIVERSITY COLLEGE LONDON   (United Kingdom)

^c IFR49 de Neuroimagerie Fonctionnelle   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; BRAIN; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; EVALUATION; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; METHODOLOGY; MULTIVARIATE ANALYSIS; NUCLEAR MAGNETIC RESONANCE IMAGING; PHYSIOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; THREE DIMENSIONAL IMAGING; VALIDATION STUDY;

ALGORITHMS; BRAIN; COMPUTER SIMULATION; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; MULTIVARIATE ANALYSIS; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

MAGNETIC RESONANCE IMAGING; MEDICAL IMAGING;

COMMON STANDARDS; EFFECT ANALYSIS; FUNCTIONAL FEATURES; FUNCTIONAL MAGNETIC RESONANCE IMAGING; FUNCTIONAL MRI (FMRI); MULTIVARIATE MODELING; SIGNAL VARIATIONS; STATISTICAL INFERENCE;

ACTIVATION ANALYSIS;

EID: 35248817423     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-45087-0_46     Document Type: Article

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