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: | Xi Jia |
| Institution: | University of Birmingham |
| Department: | School of Computer Science |
| Country: | |
| Proposed Analysis: | I am currently a Ph.D. student at UoB. By applying the ANDI dataset, I propose to design deep neural networks based registration algorithms, which is a fundamental task in the medical image analysis. On the other hand, many existing registration works used the ANDI dataset to evaluate their algorithms. It's better to directly compare the performance of this dataset. |
| Additional Investigators | |
| Investigator's Name: | Jinming Duan |
| Proposed Analysis: | By applying the ANDI dataset, We propose to design deep neural networks based registration algorithms, which is a fundamental task in the medical image analysis. On the other hand, many existing registration works used the ANDI dataset to evaluate their algorithms. It's better to directly compare the performance of this dataset. |
| Investigator's Name: | Xu Wang |
| Proposed Analysis: | I am currently a master student at UoB. By applying the ANDI dataset, we propose to design deep neural networks based registration algorithms, which is a fundamental task in the medical image analysis. On the other hand, many existing registration works used the ANDI dataset to evaluate their algorithms. It's better to directly compare the performance of this dataset. |
