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: | Xiaohan Xing |
| Institution: | The Chinese University of Hong Kong |
| Department: | Electronic Engineering |
| Country: | |
| Proposed Analysis: | We have developed a knowledge distillation-based multi-modal deep learning method for image classification. Considering the ADNI is the largest database with paired multi-modal data (including MRI, PET, genomics), we think the ADNI dataset is the optimal choice to validate our method. The proposed multi-modal method is expected to make full use of the correlated information among different modalities and improve the diagnosis accuracy of Alzheimer's disease. |
| Additional Investigators |
