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: | Mukesh Yadav |
| Institution: | University Of Tulsa |
| Department: | Computer Science |
| Country: | |
| Proposed Analysis: | We will explore the computer vision methodologies with domain adaptation to classify the input brain images and detect the Alzheimer's disease. The proposed method will show how we can transfer the classification knowledge from the ADNI dataset, used as the source dataset, to the AIBL dataset which is applied as our target set. |
| Additional Investigators | |
| Investigator's Name: | Mahdi Khodayar |
| Proposed Analysis: | We will explore the computer vision methodologies with domain adaptation to classify the input brain images and detect the Alzheimer's disease. The proposed method will show how we can transfer the classification knowledge from the ADNI dataset, used as the source dataset, to the AIBL dataset which is applied as our target set. |
| Investigator's Name: | Jacob Regan |
| Proposed Analysis: | We will explore the computer vision methodologies with domain adaptation to classify the input brain images and detect the Alzheimer's disease. The proposed method will show how we can transfer the classification knowledge from the ADNI dataset, used as the source dataset, to the AIBL dataset which is applied as our target set. |
| Investigator's Name: | Mohsen Saffari |
| Proposed Analysis: | We will explore the computer vision methodologies with domain adaptation to classify the input brain images and detect the Alzheimer's disease. The proposed method will show how we can transfer the classification knowledge from the ADNI dataset, used as the source dataset, to the AIBL dataset which is applied as our target set. |
