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: | Ojas Ramwala |
| Institution: | New York University |
| Department: | Graduate School of Arts and Science |
| Country: | |
| Proposed Analysis: | We propose to leverage adversarial training techniques to deploy an accurate deep learning architecture for efficacious segmentation of the MRI scans and early diagnosis of Alzheimer's disease among susceptible patients. Moreover, we aim to develop a parameter-efficient architecture that can be deployed in a resource-constrained processing and computing environment. |
| Additional Investigators |
