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: | Harri Pölönen |
| Institution: | VTT Technical Research Centre of Finland |
| Department: | Health data analytics |
| Country: | |
| Proposed Analysis: | We are developing artificial intelligence methods to generate synthetic 3D/4D medical imaging data, such as MRI and PET. These methods could be used to generate large supposedly anonymous imaging datasets. These dataset could then be shared and e.g. used to training other AI tools. For example, we plan to generate synthetic data separately from CN, MCI and AD patients. These three synthetic dataset could then be used to train a powerful AI network for detecting dementia type. Our study is part of IVVES (Industrial-grade Verification and Validation of Evolving Systems, https://ivves.eu) project, which is part of ITEA3 Eureka Cluster programme. |
| Additional Investigators |
