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: | ZHANG ZHANG |
| Institution: | Tohoku University |
| Department: | Biomedical Engineering |
| Country: | |
| Proposed Analysis: | In previous studies, deep learning-based methods achoeved high performance for diagnosis of Alzheimer's disease. However, detecting MCI and distinguishing pMCI from sMCI are still challenging tasks. we aim to propose a deep learning-based method to detect MCI and classify pMCI and sMCI for early Alzheimer’s disease prediction. Since 2D networks and 3D networks in previous studies achieved a reletively low performance, we aim to propose a 2.5D model for this task. In this method, the model could use pre-trained weights, which is one of the advantage of 2D networks, and could extract spatial information, which is a advantage of 3D networks. |
| Additional Investigators |
