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: | Johannes Kiechle |
| Institution: | Technical University Munich (TUM) |
| Department: | Electrical- and Computer Engineering |
| Country: | |
| Proposed Analysis: | Certain neurological diseases can have different structural effects on the constituent parts human brain. By means of applying segmentation methods (i.e., decomposition of the brain constituent parts into individual coherent areas) on corresponding MRI images of the human brain, it is facilitated to draw structural conclusions about the subareas of the brain. This does not only offer the opportunity to model human brain changes within the normal population (i.e., people who do not suffer a neurological disease) but also allows for investigation of how brain structures change if an individual is related to a certain disease and thus how structures differ from the ones of the normal population. In order to handle the complexity of the task, deep learning methods will be leveraged to evaluate MRI imaging data of the human brain. |
| Additional Investigators |
