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- January 14, 2017.
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- Version 1 (August 21, 2016 - 09:22).
- Version 2 (August 30, 2016 - 08:30).
- Version 3 (December 23, 2016 - 10:05).
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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC 4.0 International license.
Author Information
- Saman Sarrafa,b,*,
- Danielle D. DeSouzac1,
- John Andersond1,
- Ghassem Tofighie,
- for the Alzheimer's Disease Neuroimaging Initiativ**
- aDepartment of Electrical and Computer Engineering, McMaster University, Hamilton, Ontario, Canada
- bRotman Research Institute at Baycrest, Toronto, Ontario, Canada
- cDepartment of Neurology and Neurological Sciences, Stanford University School of Medicine, CA, USA
- dDepartment of Psychology, York University, Toronto, Ontario, Canada
- eElectrical and Computer Engineering Department, Ryerson University, Toronto, Ontario, Canada
- ↵*Corresponding author; samansarraf{at}ieee.org
↵1 The authors contributed equally as the second author.
Posted January 14, 2017.
DeepAD: Alzheimer’s Disease Classification via Deep Convolutional Neural Networks using MRI and fMRI
