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: | Pratyush Shandilya |
| Institution: | Carnegie Mellon University |
| Department: | Electrical and Computer Engineer |
| Country: | |
| Proposed Analysis: | Previous studies have shown that the entorhinal cortex (ERC) is a good indicator used to distinguish between mild cognitive impairment and Alzheimer’s disease. However, current deep learning studies only look at the hippocampus to identify progression of Alzheimer’s disease. We want to use deep learning image segmentation techniques to isolate the hippocampus and ERC in MRI scans and use LSTMs to classify the stage of cognitive impairment of patients. Furthermore, as a second step, we want to predict the amount of time for progression from MCI to AD using deep learning techniques. |
| Additional Investigators |
