Robust Automated Detection of Microstructural White Matter Degeneration in Alzheimer's Disease Using Machine Learning Classification of Multicenter DTI Data

PLoS ONE

Volumn 8, Issue 5, 2013, Pages

  Dyrba, Martin ^a   Ewers, Michael ^b   Wegrzyn, Martin ^a   Kilimann, Ingo ^a   Plant, Claudia ^c,d   Oswald, Annahita ^e   Meindl, Thomas ^b   Pievani, Michela ^f   Bokde, Arun L W ^g,h   Fellgiebel, Andreas ⁱ   Filippi, Massimo ^j   Hampel, Harald ^k   Klöppel, Stefan ^l   Hauenstein, Karlheinz ^m   Kirste, Thomas ^m   Teipel, Stefan J ^a,m  

^a GERMAN CENTER FOR NEURODEGENERATIVE DISEASES DZNE   (Germany)

^b LUDWIG MAXIMILIANS UNIVERSITY   (Germany)

^c INSTITUTE OF EPIDEMIOLOGY   (Germany)

^d TECHNICAL UNIVERSITY OF MUNICH   (Germany)

^e UNIVERSITY OF MUNICH   (Germany)

^f IRCCS ISTITUTO CENTRO SAN GIOVANNI DI DIO FATEBENEFRATELLI   (Italy)

^g TRINITY COLLEGE DUBLIN   (Ireland)

^h TRINITY COLLEGE DUBLIN   (Ireland)

ⁱ UNIVERSITY MEDICAL CENTER MAINZ   (Germany)

^j VITA SALUTE SAN RAFFAELE UNIVERSITY   (Italy)

^k GOETHE UNIVERSITY   (Germany)

^l UNIVERSITY OF FREIBURG   (Germany)

^m UNIVERSITY OF ROSTOCK   (Germany)

more..

Author keywords

[No Author keywords available]

Indexed keywords

AGED; ALZHEIMER DISEASE; ANALYTICAL PARAMETERS; ARTICLE; AUTOMATION; BAYES THEOREM; BRAIN MAPPING; CENTRAL NERVOUS SYSTEM DISEASE; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DIFFUSION TENSOR IMAGING; DISEASE CLASSIFICATION; FEMALE; FRACTIONAL ANISOTROPY; GRAY MATTER; HUMAN; MACHINE LEARNING; MAJOR CLINICAL STUDY; MALE; MEAN DIFFUSIVITY; MINI MENTAL STATE EXAMINATION; NUCLEAR MAGNETIC RESONANCE IMAGING; NUCLEAR MAGNETIC RESONANCE SCANNER; RETROSPECTIVE STUDY; SENSITIVITY AND SPECIFICITY; SUPPORT VECTOR MACHINE; VALIDATION PROCESS; WHITE MATTER DEGENERATION;

AGED; ALZHEIMER DISEASE; ARTIFICIAL INTELLIGENCE; BRAIN; CASE-CONTROL STUDIES; DIFFUSION TENSOR IMAGING; FEMALE; HUMANS; LEUKOENCEPHALOPATHIES; MALE; MIDDLE AGED; PRINCIPAL COMPONENT ANALYSIS; REPRODUCIBILITY OF RESULTS; RETROSPECTIVE STUDIES;

EID: 84878582129     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0064925     Document Type: Article

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