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: | Justin Broce |
| Institution: | University of Florida |
| Department: | Computer Science |
| Country: | |
| Proposed Analysis: | We plan to use state of the art vision transformer models to create pretrained models for image analysis using the UK Biobank as a massive neuroimage pretraining set. We aim to use ADNI datasets to measure the efficacy of transfer learning as a downstream tasks. |
| Additional Investigators | |
| Investigator's Name: | Joseph Cox |
| Proposed Analysis: | Apply novel self-supervised learning techniques using randomized image transformations on an image reconstruction proxy task Measure efficacy of transfer learning ondownstream tasks (AD classification) using the ADNI datasets |
| Investigator's Name: | Ruogu Fang |
| Proposed Analysis: | Apply novel self-supervised learning techniques using randomized image transformations on an image reconstruction proxy task Measure efficacy of transfer learning ondownstream tasks (AD classification) using the ADNI datasets |
| Investigator's Name: | Akshay Ashok |
| Proposed Analysis: | Analysis Apply novel self-supervised learning techniques using randomized image transformations on an image reconstruction proxy task Measure efficacy of transfer learning ondownstream tasks (AD classification) using the ADNI datasets |
| Investigator's Name: | Kevin Liu |
| Proposed Analysis: | We plan to use state of the art vision transformer models to create pretrained models for image analysis using the UK Biobank as a massive neuroimage pretraining set. We aim to use ADNI datasets to measure the efficacy of transfer learning as a downstream tasks. |
