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: | Jisi Tang |
| Institution: | Tsinghua University |
| Department: | School of Vehicle and Mobility |
| Country: | |
| Proposed Analysis: | I work on geometric deep learning, especially graph operations inspired by differential geometry, e.g., curvature analysis on Riemannian manifold. I plan to w ork with ADNI data to explore how to build geometry-informed GCN to enhance performance in tasks like classification. The current idea is to abstract the connectivities as a manifold-like structure, to allow metric-based operations. |
| Additional Investigators |
