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: | Rohit Katole |
| Institution: | G. H. Raisoni College of Engineering |
| Department: | Artificial Intelligence |
| Country: | |
| Proposed Analysis: | use deep learning techniques such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), or autoencoders to analyze EEG data. CNNs can be used for the classification of EEG signals, while RNNs can be used for analyzing the temporal dependencies in EEG signals. Autoencoders can be used for feature extraction and dimensionality reduction. |
| Additional Investigators |
