Multivariate pattern classification of gray matter pathology in multiple sclerosis

NeuroImage

Volumn 60, Issue 1, 2012, Pages 400-408

  Bendfeldt, Kerstin ^a   Klöppel, Stefan ^b   Nichols, Thomas E ^c   Smieskova, Renata ^a   Kuster, Pascal ^a   Traud, Stefan ^a   Mueller Lenke, Nicole ^a   Naegelin, Yvonne ^a   Kappos, Ludwig ^a   Radue, Ernst Wilhelm ^a   Borgwardt, Stefan J ^a,d  

^a UNIVERSITY HOSPITAL BASEL   (Switzerland)

^b Freiburg Brain Imaging ^*  (Germany)

^c UNIVERSITY OF WARWICK   (United Kingdom)

^d KING'S COLLEGE LONDON   (United Kingdom)

Author keywords

Gray matter; MRI; Multiple sclerosis; Multivariate pattern analysis; Support vector machines

Indexed keywords

ADULT; ARTICLE; BRAIN DAMAGE; CAUDATE NUCLEUS; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; FEMALE; GRAY MATTER LESION; HUMAN; IMAGE PROCESSING; IMAGE SEGMENTATION; MAJOR CLINICAL STUDY; MALE; MULTIPLE SCLEROSIS; MULTIVARIATE ANALYSIS; NEUROPATHOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; NUCLEAR MAGNETIC RESONANCE SCANNER; ONSET AGE; PATIENT CODING; PREDICTIVE VALUE; PRIORITY JOURNAL; SENSITIVITY AND SPECIFICITY; SUPPORT VECTOR MACHINE; T1 WEIGHTED NUCLEAR MAGNETIC RESONANCE IMAGING; THALAMUS; THREE DIMENSIONAL IMAGING; VALIDATION PROCESS; VOXEL BASED MORPHOMETRY; WHITE MATTER;

ADULT; BRAIN; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MALE; MIDDLE AGED; MULTIPLE SCLEROSIS; MULTIVARIATE ANALYSIS; SUPPORT VECTOR MACHINES;

EID: 84857125551     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2011.12.070     Document Type: Article

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