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: | Zhiwei Ma |
| Institution: | ShanghaiTech University |
| Department: | Biomedical Engineering |
| Country: | |
| Proposed Analysis: | This study is to extract meaningful neuroscientific information from the multimodal MRI data in the ADNI dataset. First, machine learning-based methods will be developed to identify outliers. Second, novel denoising methods will be developed to remove nuisance signals from the data. Third, the cleaned data will be used for data mining to identify meaningful neuroscientific information across the multimodal MRI data. |
| Additional Investigators | |
| Investigator's Name: | Yizhou Shi |
| Proposed Analysis: | This study is to extract meaningful neuroscientific information from the multimodal MRI data in the ADNI dataset. First, machine learning-based methods will be developed to identify outliers. Second, novel denoising methods will be developed to remove nuisance signals from the data. Third, the cleaned data will be used for data mining to identify meaningful neuroscientific information across the multimodal MRI data. |
