Biomarkers for identifying first-episode schizophrenia patients using diffusion weighted imaging

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

Volumn 6361 LNCS, Issue PART 1, 2010, Pages 657-665

  Rathi, Yogesh ^a,b,d   Malcolm, James ^b   Michailovich, Oleg ^c   Goldstein, Jill ^a   Seidman, Larry ^a   McCarley, Robert W ^d   Westin, Carl Fredrik ^a   Shenton, Martha E ^a,d  

^a HARVARD MEDICAL SCHOOL   (United States)

^b GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

^c UNIVERSITY OF WATERLOO   (Canada)

^d VA Clinical Neuroscience Division   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CENTRAL NERVOUS SYSTEMS; CLASSIFICATION RESULTS; CROSS VALIDATION; DIFFUSION WEIGHTED IMAGING; EARLY DETECTION; FEATURE SELECTION ALGORITHM; INVARIANT REPRESENTATION; K-NEAREST NEIGHBORS; MR IMAGING; NORMAL CONTROLS; PARZEN WINDOW CLASSIFIERS; SCHIZOPHRENIA PATIENTS; SPHERICAL HARMONICS; TENSOR MODEL; WHITE MATTER;

ALGORITHMS; CLASSIFIERS; DIFFUSION; DISEASES; FEATURE EXTRACTION; HARMONIC ANALYSIS; MAGNETIC RESONANCE IMAGING; MEDICAL COMPUTING;

MEDICAL IMAGING;

BIOLOGICAL MARKER;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; BRAIN; COMPUTER ASSISTED DIAGNOSIS; DIFFUSION WEIGHTED IMAGING; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; PATHOLOGY; REPRODUCIBILITY; SCHIZOPHRENIA; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; BIOLOGICAL MARKERS; BRAIN; DIFFUSION MAGNETIC RESONANCE IMAGING; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SCHIZOPHRENIA; SENSITIVITY AND SPECIFICITY;

EID: 78349280753     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15705-9_80     Document Type: Conference Paper

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