Predicting Prodromal Alzheimer's Disease in Subjects with Mild Cognitive Impairment Using Machine Learning Classification of Multimodal Multicenter Diffusion-Tensor and Magnetic Resonance Imaging Data

M. Dyrba; F. Barkhof; A. Fellgiebel; M. Filippi; L. Hausner; K. Hauenstein; T. Kirste; S.J Teipel

doi:10.1111/jon.12214

Predicting Prodromal Alzheimer's Disease in Subjects with Mild Cognitive Impairment Using Machine Learning Classification of Multimodal Multicenter Diffusion-Tensor and Magnetic Resonance Imaging Data

M. Dyrba, F. Barkhof, A. Fellgiebel, M. Filippi, L. Hausner, K. Hauenstein, T. Kirste, S.J Teipel

Radiology and nuclear medicine

Research output: Contribution to journal › Article › Academic › peer-review

Original language	Undefined/Unknown
Pages (from-to)	738-747
Journal	Journal of Neuroimaging
Volume	25
Issue number	5
DOIs	https://doi.org/10.1111/jon.12214
Publication status	Published - 2015

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10.1111/jon.12214

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Dyrba, M., Barkhof, F., Fellgiebel, A., Filippi, M., Hausner, L., Hauenstein, K., Kirste, T., & Teipel, S. J. (2015). Predicting Prodromal Alzheimer's Disease in Subjects with Mild Cognitive Impairment Using Machine Learning Classification of Multimodal Multicenter Diffusion-Tensor and Magnetic Resonance Imaging Data. Journal of Neuroimaging, 25(5), 738-747. https://doi.org/10.1111/jon.12214

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Dyrba, M, Barkhof, F, Fellgiebel, A, Filippi, M, Hausner, L, Hauenstein, K, Kirste, T & Teipel, SJ 2015, 'Predicting Prodromal Alzheimer's Disease in Subjects with Mild Cognitive Impairment Using Machine Learning Classification of Multimodal Multicenter Diffusion-Tensor and Magnetic Resonance Imaging Data', Journal of Neuroimaging, vol. 25, no. 5, pp. 738-747. https://doi.org/10.1111/jon.12214

Predicting Prodromal Alzheimer's Disease in Subjects with Mild Cognitive Impairment Using Machine Learning Classification of Multimodal Multicenter Diffusion-Tensor and Magnetic Resonance Imaging Data. / Dyrba, M.; Barkhof, F.; Fellgiebel, A. et al.

In: Journal of Neuroimaging, Vol. 25, No. 5, 2015, p. 738-747.

Research output: Contribution to journal › Article › Academic › peer-review

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AU - Barkhof, F.

AU - Fellgiebel, A.

AU - Filippi, M.

AU - Hausner, L.

AU - Hauenstein, K.

AU - Kirste, T.

AU - Teipel, S.J

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