Probabilistic anatomo-functional parcellation of the cortex: How many regions?

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

Volumn 5242 LNCS, Issue PART 2, 2008, Pages 399-406

  Tucholka, Alan ^a,b   Thirion, Bertrand ^b   Perrot, Matthieu ^a   Pinel, Philippe ^c   Mangin, Jean François ^a   Poline, Jean Baptiste ^a  

^a CEA SACLAY   (France)

^b INRIA SACLAY   (France)

^c Neurospin ^*  (France)

Author keywords

[No Author keywords available]

Indexed keywords

MEDICAL IMAGING;

ANATOMICAL FEATURES; BRAIN STRUCTURE; CORTICAL MAPS; CROSS VALIDATION; FUNCTIONAL INFORMATION; PROBABILISTIC MODELING; RIGHT HEMISPHERES; VARIATIONAL BAYES;

MEDICAL COMPUTING;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BAYES THEOREM; BRAIN; COMPUTER ASSISTED DIAGNOSIS; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BAYES THEOREM; BRAIN; DATA INTERPRETATION, STATISTICAL; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84883830815     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-85990-1_48     Document Type: Conference Paper

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