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: | Xuenan Fan |
| Institution: | Shandong University |
| Department: | School of Information Science and Engineering |
| Country: | |
| Proposed Analysis: | The content-based medical image retrieval (CBMIR) method can help clinicians quickly make a quick judgment on the location and type of lesions, and can use the previous diagnosis results as a reference to formulate suitable treatment methods for patients. So I hope to develop a medical image retrieval system to solve this need. The proposed deep learning network model is mainly used for learning and training of the existing annotated datasets. We hereby request permission to use the "ANDI" dataset. |
| Additional Investigators | |
| Investigator's Name: | Qian Zhang |
| Proposed Analysis: | The content-based medical image retrieval method can help clinicians quickly make a quick judgment on the location and type of lesions, and can use the previous diagnosis results as a reference to formulate suitable treatment methods for patients. So I hope to develop a medical image retrieval system to solve this need. The proposed deep learning network model is mainly used for learning and training of the existing annotated datasets. We hereby request permission to use the "ANDI" dataset. |
