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: | Oytun Demirbilek |
| Institution: | Technical University of Munich |
| Department: | Faculty of Informatics |
| Country: | |
| Proposed Analysis: | Due to the high costs of medical scans, real-world connectomic datasets are usually incomplete. Furthermore, brain graph synthesis is important for boosting models designed for early disease diagnosis. A shared shortcoming in the literature of brain graph synthesis works lies in their limited scalability for jointly predicting target brain multi-graph from a single source graph. We want to further investigate geometric deep learning methods for brain graph prediction in Alzheimer's Disease. |
| Additional Investigators |
