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: | Sandeep Vengala |
| Institution: | Maharaja Vijayaram Gajapathi Raj College of engineering |
| Department: | CSE |
| Country: | |
| Proposed Analysis: | Predicting Alzheimer’s disease: a neuroimaging study with 3D convolutional neural networks. Using MRI images as input, is able to discriminate between healthy brains (HC) and diseased brains. We investigate a class of deep artificial neural networks, and specifically a combination of sparse autoencoders and convolutional neural networks. The main novelty of our approach is to use 3D convolutions on the whole MRI image, which yield better performance than 2D convolutions on slices in our experiments. We report on classification results obtained using a 3-way classifier (HC vs. AD vs. MCI) and three binary classifiers (AD vs. HC, AD vs. MCI and MCI vs. HC). |
| Additional Investigators |
