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: | Siddhant Bikram Shah |
| Institution: | Delhi Technological University |
| Department: | Department of Computer Science and Engineering |
| Country: | |
| Proposed Analysis: | The primary objective of this proposal is to investigate the utility of T1 and T2 MRI in detecting and assessing the progression of Alzheimer's disease. We will collect a comprehensive labeled MRI dataset consisting of AD, mild cognitive impairment (MCI), and cognitively normal control subjects. The MRI images will undergo preprocessing steps, including noise reduction, intensity normalization, and image registration. A robust augmentation framework will be developed to generate diverse synthetic MRI images. This framework may involve techniques such as geometric transformations, intensity variations, and generative adversarial networks (GANs) to simulate variations in imaging protocols, patient demographics, and disease progression stages. |
| Additional Investigators |
