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: | Sanjori Mukherjee |
| Institution: | The George Washington University |
| Department: | Biomedical Engineering |
| Country: | |
| Proposed Analysis: | The application of machine learning techniques, specifically deep learning neural networks, for disease classification between healthy controls, mild cognitive impairment (MCI) patients who are non-converters to Alzheimer's disease (AD), MCI patients who are converters to AD, AD patients, and dementia patients using structural volumes of features in the whole brain calculated from structural magnetic resonance brain images. |
| Additional Investigators | |
| Investigator's Name: | Fang Jin |
| Proposed Analysis: | Structural imaging data will be used in various machine learning methods to assess the explainability of these models using novel model-agnostic interpretation. |
| Investigator's Name: | Jahnavi Ramagiri |
| Proposed Analysis: | The application of machine learning techniques, specifically deep learning neural networks, for disease classification between healthy controls, mild cognitive impairment (MCI) patients who are non-converters to Alzheimer's disease (AD), MCI patients who are converters to AD, AD patients, and dementia patients using structural volumes of features in the whole brain calculated from structural magnetic resonance brain images. |
