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: | Kumpei Ikuta |
| Institution: | Hosei University |
| Department: | Graduate School of Science and Engineering |
| Country: | |
| Proposed Analysis: | Our research is about content-based image retrieval (CBIR) systems for brain MRI, which enables doctors to efficiently find similar images with consideration of what disease the patient has. This project is done in cooperation with Professors Hitoshi Iyatomi (Hosei Univ.) and Kenichi Oishi (Johns Hopkins Univ.) and I'm applying an access on behalf of them. We specifically need an access to ADNI-3 dataset for analyzing implicit shifts between datasets (known as "covariate shifts") and study if it affects on out previous studies [1][2]. [1] Significant Dimension Reduction of 3D Brain MRI using 3D Convolutional Autoencoders, Hayato Arai, Yusuke Chayama, Hitoshi Iyatomi, and Kenichi Oishi, Proc. IEEE Biomedical Engineering (IEEE EMBC 2018), pp.5162-5165, Jul.2018. [2]Efficient feature embedding of 3D brain MRI images for content-based image retrieval with deep metric learning, Yuto Onga, Shingo Fujiyama, Hayato Arai, Yusuke Chayama, Hitoshi Iyatomi, and Kenichi Oishi, Proc. IEEE BigData2019, (Advances in High Dimensional Big Data (AdHD)) , pp.3764-3769, Dec. 2019. |
| Additional Investigators |
