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: | sunija a p |
| Institution: | National Institute of technology Tiruchirapallli |
| Department: | Electronics and Communication Engineering |
| Country: | |
| Proposed Analysis: | This proposal introduces a method for extracting the above features and study the possibilities of any other features that can predict AD from Optical Coherence Tomography (OCT) image of the retina. After getting a clear feature from the image we can analyze and fix the most adequate biomarker for an AD in a subject. Then apply the methods of artificial intelligence to automatically predict the chances of getting the AD. |
| Additional Investigators | |
| Investigator's Name: | varun p gopi |
| Proposed Analysis: | This proposal introduces a method for extracting the above features and study the possibilities of any other features that can predict AD from Optical Coherence Tomography (OCT) image of the retina. After getting a clear feature from the image we can analyze and fix the most adequate biomarker for an AD in a subject. Then apply the methods of artificial intelligence to automatically predict the chances of getting the AD. |
| Investigator's Name: | varun p gopi |
| Proposed Analysis: | This proposal introduces a method for extracting the above features and study the possibilities of any other features that can predict AD from Optical Coherence Tomography (OCT) image of the retina. After getting a clear feature from the image we can analyze and fix the most adequate biomarker for an AD in a subject. Then apply the methods of artificial intelligence to automatically predict the chances of getting the AD. |
