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

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

Diffusion tensor imaging (DTI) based assessment of white matter fiber tract integrity can support the diagnosis of Alzheimer’s disease (AD). The use of DTI as a biomarker, however, depends on its applicability in a multicenter setting accounting for effects of different MRI scanners. We applied mult...

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Bibliographic Details
Main Authors: Dyrba, Martin, Ewers, Michael, Wegrzyn, Martin, Kilimann, Ingo, Plant, Claudia, Oswald, Annahita, Meindl, Thomas, Pievani, Michela, Bokde, Arun L. W., Fellgiebel, Andreas, Filippi, Massimo, Hampel, Harald, Klöppel, Stefan, Hauenstein, Karlheinz, Kirste, Thomas, Teipel, Stefan J.
Format: Online
Language:English
Published: Public Library of Science 2013
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3669206/

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3669206/

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