Alzheimer’s disease diagnosis from diffusion tensor images using convolutional neural networks

• Eman N. Marzban ,

  Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

  * E-mail: eman.marzban@eng1.cu.edu.eg

  Affiliation Biomedical Engineering and Systems, Faculty of Engineering, Cairo University, Giza, Egypt

  http://orcid.org/0000-0002-6021-8664

  ⨯
• Ayman M. Eldeib,

  Roles Conceptualization, Methodology, Project administration, Supervision

  Affiliation Biomedical Engineering and Systems, Faculty of Engineering, Cairo University, Giza, Egypt

  ⨯
• Inas A. Yassine,

  Roles Conceptualization, Investigation, Methodology, Project administration, Supervision, Writing – review & editing

  Affiliation Biomedical Engineering and Systems, Faculty of Engineering, Cairo University, Giza, Egypt

  http://orcid.org/0000-0003-1268-1555

  ⨯
• Yasser M. Kadah,

  Roles Project administration, Supervision, Writing – review & editing

  Affiliations Biomedical Engineering and Systems, Faculty of Engineering, Cairo University, Giza, Egypt, Biomedical Engineering Program, Electrical and Computer Engineering Department, King Abdulaziz University, Jeddah, Saudi Arabia

  ⨯
• for the Alzheimer’s Disease Neurodegenerative Initiative

  ¶Data used in preparation of this article were obtained from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database (adni.loni.usc.edu). As such, the investigators within the ADNI contributed to the design and implementation of ADNI and/or provided data but did not participate in analysis or writing of this report. A complete listing of ADNI investigators can be found at: http://adni.loni.usc.edu/wp-content/uploads/how_to_apply/ADNI_Acknowledgement_List.pdf

  ⨯