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: | Armaghan Zahid |
| Institution: | Bahria University |
| Department: | Computer Science |
| Country: | |
| Proposed Analysis: | Alzheimer’s disease (AD) affects human’s cognitive ability and memory. It has no cure, however even, early symptoms are diagnosed timely then it can be avoided, or its growth rate could be slow down. Lack of distinct medical cure for this disease have urged the need to identify factors of early diagnosis of AD using automated process. MCI (Mild Cognitive Impairment) is an early stage of Alzheimer. Its common symptoms include cognitive impairment, memory loss, difficulty in thinking and understanding words, and inability to identify family members. Moreover, lack of Beta proteins and CDR (Clinical Dementia Rating) code in MRI (Magnetic Resonance Imaging) scans are important Clinical data parameters. Identification of these parameters using MRI scans is less prone to errors as MRI generates quality medical images. This research aims to diagnose and classify AD and MCI using CNN (Convolution Neural Network) applied on MRI scans. |
| Additional Investigators |
