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: | Amaro Garcia Suarez |
| Institution: | University of Copenhagen |
| Department: | Computer Science (DIKU) |
| Country: | |
| Proposed Analysis: | The main problem to solve using this data consists on predicting the number of conversions from either Cognitive Normal (CN) or Mild Cognitive Impairment (MCI) to Alzheimer's Disease (AD) by using MRI scans. To do so, the MRI scans are going to be segmented to find the hippocampi and later on, we are going to develop different Machine Learning models (particularly Deep Learning models) to predict conversions. Once the models work with the hippocampi, we may also extract other regions to conduct a similar experiment. |
| Additional Investigators |
