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: | Lingchao Mao |
| Institution: | Georgia Institute of Technology |
| Department: | Industrial and Systems Engineering |
| Country: | |
| Proposed Analysis: | There are currently few existing works in incomplete modality fusion algorithms. We are working on a benchmarking study to compare the five existing methods. One of the existing methods, IMLS, is based on a paper by Zhou et al. (2020), which used the ADNI dataset. First, we plan to re-implement the IMLS algorithm in this paper and test it on the ADNI dataset. Additionally, we may use the ADNI dataset for development of new incomplete modality fusion algorithms. References: Zhou, Tao, et al. "Multi-modal latent space inducing ensemble SVM classifier for early dementia diagnosis with neuroimaging data." Medical image analysis 60 (2020): 101630. |
| Additional Investigators |
