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: | naji shajarisales |
| Institution: | carnegie mellon university |
| Department: | philosophy/computer science |
| Country: | |
| Proposed Analysis: | Following the work by Chen et al. (2020) titled "Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training", where they used ADNI data for the first time to assess the success of Learning from Positive and Unlabeled data (LPU) methods on such datasets, this will be another attempt to do a detailed analysis of success of diagnosing A.D. at its early stages potentially using imaging data only |
| Additional Investigators |
