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: | QIN DAFEI |
| Institution: | The University of Hong Kong |
| Department: | Electric and Electronic Engineering |
| Country: | |
| Proposed Analysis: | We propose to use Graph Convolution Networks(GCN) to analyze the MRI data and to predict Alzheimer's disease. We will leverage interpretable machine learning methods to reveal the underlying logic of such models. We will also let fairness criteria guide the building process, in order to make the model transparent and fair for users. |
| Additional Investigators | |
| Investigator's Name: | ZHOU WENYONG |
| Proposed Analysis: | Responsible for building the Graph Convolutional Network, as well as training and evaluating the model. |
