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: | Dongho Lee |
| Institution: | DigiPen Institute of Technology |
| Department: | Computer Science |
| Country: | |
| Proposed Analysis: | An entry-level machine learning project written in Python Tensorflow utilizing either (1) a custom-built convolutional network that closely resembles VGG16, (2) a transfer learning model using VGG19, or (3) a ResNet50 model. The goal is to achieve a 95+% accuracy for binary classification of MRI scans (demented vs non-demented). Currently, the model is trained using 5121 images from Kaggle and achieves ~80%. |
| Additional Investigators | |
| Investigator's Name: | Christian Yan |
| Proposed Analysis: | Same as Dongho Lee's |
| Investigator's Name: | Luke Mostert |
| Proposed Analysis: | Same as Dongho Lee's |
