There are many active research projects accessing and applying shared ADNI data. Use the search above to find specific research focuses on the active ADNI investigations. This information is requested annually as a requirement for data access.
| Principal Investigator | |
| Principal Investigator's Name: | Hami Mahdavinataj |
| Institution: | Babol Noshirvani University of Technology |
| Department: | Electrical & Computer Engineering |
| Country: | |
| Proposed Analysis: | Deep learning methods have been recently utilized in medical imaging diagnosis and prognosis, which have significantly improved the performance of the algorithms. As Alzheimer’s Disease is one of the most financial costly disease, many researchers have concentrated on introducing a high accuracy automated algorithm for classifying the Alzheimer’s Disease (AD) and the Normal Control (NC) cases. We are going to propose a new deep learning based automated method for Alzheimer’s disease diagnosis. We are also going to use ADNI data set in our research. |
| Additional Investigators |
