An automated approach to connectivity-based partitioning of brain structures

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

Volumn 3749 LNCS, Issue , 2005, Pages 164-171

  Cook, P A ^a   Zhang, H ^b   Avants, B B ^b   Yushkevich, P ^b   Alexander, B C ^a   Gee, J C ^b   Ciccarelli, O ^c   Thompson, A J ^c  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b UNIVERSITY OF PENNSYLVANIA   (United States)

^c UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; BRAIN; MAGNETIC RESONANCE IMAGING; MEDICAL PROBLEMS; PROBABILITY; TENSORS;

BRAIN STRUCTURES; DIFFUSION-TENSOR MRI MEASURES; PROBABILISTIC TRACTOGRAPHY ALGORITHM; WHITE-MATTER FIBRES;

MEDICAL IMAGING;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; CLINICAL TRIAL; COMPUTER ASSISTED DIAGNOSIS; CORPUS CALLOSUM; CYTOLOGY; DIFFUSION WEIGHTED IMAGING; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; MYELINATED NERVE; PHASE 1 CLINICAL TRIAL; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING; ULTRASTRUCTURE;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CORPUS CALLOSUM; DIFFUSION MAGNETIC RESONANCE IMAGING; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; NERVE FIBERS, MYELINATED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 33744818214     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11566465_21     Document Type: Conference Paper

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