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: | Alain Mignot |
| Institution: | University of Southern California |
| Department: | Computer Science |
| Country: | |
| Proposed Analysis: | Alzheimer's disease (AD) is a progressive form of dementia that causes memory loss, thinking difficulties, and behavioral changes. Early detection of AD is crucial to improve the quality of life for those with the disease, as some treatments can slow cognitive and functional decline. I will aim to enhance brain magnetic resonance imaging (MRI) data classification for AD. I will work on a graph-based attention neural network that employs structural features of the brain extracted from MRI data obtained from the Alzheimer's Disease Neuroimaging Initiative (ADNI). I will evaluate the proposed method against the current state-of-the-art vision-based classifier, specifically a convolutional neural network (CNN). My study will aim to contribute to the development of a reliable and effective tool for early detection of AD. |
| Additional Investigators |
