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: | Md Easin Hasan |
| Institution: | University of Texas at El Paso |
| Department: | Mathematical Sciences |
| Country: | |
| Proposed Analysis: | We will develop an advanced CNN based architecture so that we can classify the multi-class in Alzheimer's disease image dataset. We will build a CNN based architecture which can more accurately classifies the multi labels compared to existing deep learning methods. For the model we prepared for our work, we took Efficientnetb7 as the pretrained model which works better for image classification. Accurately classifying the images might lead to the discovery of novel and useful drugs that could cure the millions of individuals who suffer from the aforementioned illnesses. |
| Additional Investigators |
