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: | Jianning Li |
| Institution: | University Hospital Essen |
| Department: | Institute for Artificial Intelligence in Medicine |
| Country: | |
| Proposed Analysis: | The goal of our project is to develop new methods for quantitative modeling of the progression of Alzheimer's Disease (AD) and analyze its relationship with brain aging, based on disentanglement learning [1,2] and longitudinal brain imaging data. [1]Zhao, Q., Liu, Z., Adeli, E. and Pohl, K.M., 2021. Longitudinal self-supervised learning. Medical image analysis, 71, p.102051. [2] Zhao, Q., Adeli, E., Honnorat, N., Leng, T. and Pohl, K.M., 2019. Variational autoencoder for regression: Application to brain aging analysis. In Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd International Conference, Shenzhen, China, October 13–17, 2019, Proceedings, Part II 22 (pp. 823-831). Springer International Publishing. |
| Additional Investigators |
