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: | Aden Northcote |
| Institution: | University of Technology Sydney |
| Department: | Faculty of Engineering and Information Technology |
| Country: | |
| Proposed Analysis: | We will be applying third generation spiking neural networks (SNN) to the problem of classifying STBD regarding Alzheimer's disease and the severity of AD, as well as using explainability methods to illustrate 'hidden' features important in the SNN classification process. The importance of this research lies in improving computer assisted diagnosis through deep learning and image classification, as well as the potential to gain insight into Alzheimer's diagnosis though machine learned feature importance. Thank you for your consideration, Aden Northcote |
| Additional Investigators |
