Kernel-based manifold learning for statistical analysis of diffusion tensor images

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

Volumn 4584 LNCS, Issue , 2007, Pages 581-593

  Khurd, Parmeshwar ^a   Verma, Ragini ^a   Davatzikos, Christos ^a  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN; DISCRIMINANT ANALYSIS; LEARNING SYSTEMS; MEDICAL APPLICATIONS; PRINCIPAL COMPONENT ANALYSIS; TENSORS;

DIFFUSION TENSORS; KERNEL FISHER DISCRIMINANT ANALYSIS (KFDA); STATISTICAL DISTRIBUTION;

IMAGE ANALYSIS;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BRAIN; COMPUTER ASSISTED DIAGNOSIS; DIFFUSION WEIGHTED IMAGING; EVALUATION; FEMALE; HUMAN; IMAGE ENHANCEMENT; MALE; METHODOLOGY; MYELINATED NERVE; PATHOLOGY; REPRODUCIBILITY; SCHIZOPHRENIA; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BRAIN; DIFFUSION MAGNETIC RESONANCE IMAGING; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MALE; NERVE FIBERS, MYELINATED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SCHIZOPHRENIA; SENSITIVITY AND SPECIFICITY;

EID: 34548458150     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-73273-0_48     Document Type: Conference Paper

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