A practical and universal framework for generating publicly available medical notes of authentic quality via the power of crowds. - Rina Kagawa; Yukino Baba; Hideo Tsurushima (IEEE BigData, 2021)

How the Content of Progress Notes Affects Readers' Perceptions of Their Usefulness and the Burden Placed on Writers: Improving Interprofessional Communication. - Rina Kagawa; Hideo Tsurushima (MedInfo, 2021)

Decentralized Learning with Virtual Patients for Medical Diagnosis of Diabetes. - Yuta Takahashi; Hanten Chang; Akie Nakai; Rina Kagawa; Hiroyasu Ando; Akira Imakura; Yukihiko Okada; Hideo Tsurushima; Kenji Suzuki 002; Tetsuya Sakurai (SN Comput. Sci., 2021)

Edema Estimation From Facial Images Taken Before and After Dialysis via Contrastive Multi-Patient Pre-Training. - Yusuke Akamatsu; Yoshifumi Onishi; Hitoshi Imaoka; Junko Kameyama; Hideo Tsurushima (IEEE J. Biomed. Health Informatics, 2023)

ComFace: Facial Representation Learning with Synthetic Data for Comparing Faces. - Yusuke Akamatsu; Terumi Umematsu; Hitoshi Imaoka; Shizuko Gomi; Hideo Tsurushima (WACV, 2025)