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: | Ayush Aneja |
| Institution: | Thapar Institute of Engineering and Technology |
| Department: | Computer science |
| Country: | |
| Proposed Analysis: | Collect all the information regarding the database and select appropriate number of classes. Apply feature extraction methods like Gradient, Local Binary Pattern, Laplacian, PCA, and SVD to get the train feature vector. Apply cross validation process or AdaBoost or any other method which help to improve the accuracy of system. |
| Additional Investigators |
