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: | Rukiye Karakis |
| Institution: | McGill University |
| Department: | Medicine Faculty-School of Physical & Occupational |
| Country: | |
| Proposed Analysis: | Stroke is a disease that has serious effects on societies and economies. It is a heavy burden on health systems of the countries. Brain white and gray matter status, which have different characteristics, should be evaluated in the diagnosis and treatment of stroke. The recovery of motor functions of patients after stroke is very important, but it is difficult to predict it. For this reason, an accurate, effective and accessible method is necessary to evaluate patients’ motor recovery. In our study, it is aimed to determine the motor function recovery level of the patients by using deep learning techniques applying to the diffusion tensor images (DTI: Diffusion Tensor Imaging) of the patients and healthy volunteers. For this reason, we want to use your data to generate a pretrained model in our study. |
| Additional Investigators | |
| Investigator's Name: | Kali Gurkahraman |
| Proposed Analysis: | We want to generate synthetic MRI and DTI images on the ADNI dataset using a GAN model and then classify these images with a DL model. |
