A two-level multimodality imaging Bayesian network approach for classification of partial epilepsy: Preliminary data

NeuroImage

Volumn 71, Issue , 2013, Pages 224-232

  Mueller, Susanne G ^a,b   Young, Karl ^a,b   Hartig, Miriam ^a,b   Barakos, Jerome ^c   Garcia, Paul ^b   Laxer, Kenneth D ^c  

^a VETERANS AFFAIRS MEDICAL CENTER   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c CALIFORNIA PACIFIC MEDICAL CENTER   (United States)

Author keywords

Bayesian network; Classifier; DTI; Epilepsy; FLE; Gray matter volume; TLE

Indexed keywords

ADULT; ARTICLE; BAYES THEOREM; BRAIN MAPPING; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; DISEASE CLASSIFICATION; FEMALE; FOCAL EPILEPSY; FRACTIONAL ANISOTROPY; FRONTAL LOBE EPILEPSY; GRAY MATTER; HUMAN; IMAGE ANALYSIS; INTERMETHOD COMPARISON; MAJOR CLINICAL STUDY; MALE; MESIAL TEMPORAL LOBE EPILEPSY; PRIORITY JOURNAL; PROBABILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL DISTRIBUTION; WHITE MATTER;

ADULT; BAYES THEOREM; BRAIN MAPPING; DIFFUSION TENSOR IMAGING; EPILEPSIES, PARTIAL; FEMALE; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MALE;

EID: 84873727871     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2013.01.014     Document Type: Article

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