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: | Chengyi Qian |
Institution: | University of Shanghai for science and technology |
Department: | School of health science and engineering |
Country: | |
Proposed Analysis: | Develop an auxiliary diagnosis algorithm for Alzheimer's disease based on deep learning. The main purpose is to accurately and automatically differentiate AD, MCI, and NC groups, and to improve the classification accuracy of pMCI/sMCI. |
Additional Investigators |