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-Reference-Cited by-同舟云学术

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

Published:2015-01-28 Issue:5 Volume:25 Page:738-747
ISSN:1051-2284
Container-title:Journal of Neuroimaging
language:en
Short-container-title:J Neuroimaging

Author:

Dyrba Martin¹,Barkhof Frederik²,Fellgiebel Andreas³,Filippi Massimo⁴,Hausner Lucrezia⁵,Hauenstein Karlheinz⁶,Kirste Thomas⁷,Teipel Stefan J.¹⁸,

Affiliation:

1. German Center for Neurodegenerative Diseases; Rostock Germany

2. Department of Radiology and Nuclear Medicine; VU University Medical Center; Amsterdam The Netherlands

3. Department of Psychiatry; University Medical Center Mainz; Mainz Germany

4. Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience; Scientific Institute and University Vita-Salute San Raffaele; Milan Italy

5. Department of Geriatric Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim; University of Heidelberg; Mannheim Germany

6. Department of Radiology; University Medicine Rostock; Rostock Germany

7. Mobile Multimedia Information Systems Group; University of Rostock; Rostock Germany

8. Clinic for Psychosomatic and Psychotherapeutic Medicine; University Medicine Rostock; Rostock Germany

Publisher

Wiley

Subject

Clinical Neurology,Radiology Nuclear Medicine and imaging

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/jon.12214/fullpdf

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