Patch-Based Cervical Cancer Segmentation using Distance from Boundary of Tissue. - Kengo Araki; Mariyo Rokutan-Kurata; Kazuhiro Terada; Akihiko Yoshizawa; Ryoma Bise (EMBC, 2021)

Cluster-Guided Semi-Supervised Domain Adaptation for Imbalanced Medical Image Classification. - Shota Harada; Ryoma Bise; Kengo Araki; Akihiko Yoshizawa; Kazuhiro Terada; Mariyo Kurata; Naoki Nakajima; Hiroyuki Abe; Tetsuo Ushiku; Seiichi Uchida (ISBI, 2023)

Cluster Entropy: Active Domain Adaptation in Pathological Image Segmentation. - Xiaoqing Liu; Kengo Araki; Shota Harada; Akihiko Yoshizawa; Kazuhiro Terada; Mariyo Kurata; Naoki Nakajima; Hiroyuki Abe; Tetsuo Ushiku; Ryoma Bise (ISBI, 2023)

Spatial Distribution-Based Pseudo Labeling for Pathological Image Segmentation. - Yuki Shigeyasu; Kengo Araki; Shota Harada; Akihiko Yoshizawa; Kazuhiro Terada; Ryoma Bise (ISBI, 2023)

Proportion Estimation by Masked Learning from Label Proportion. - Takumi Okuo; Kazuya Nishimura; Hiroaki Ito; Kazuhiro Terada; Akihiko Yoshizawa; Ryoma Bise (DALI@MICCAI, 2023)

Theoretical Proportion Label Perturbation for Learning from Label Proportions in Large Bags. - Shunsuke Kubo; Shinnosuke Matsuo; Daiki Suehiro; Kazuhiro Terada; Hiroaki Ito; Akihiko Yoshizawa; Ryoma Bise (ECAI, 2024)

Diameter-based pseudo labeling for pathological image segmentation. - Yuki Shigeyasu; Shota Harada; Akihiko Yoshizawa; Kazuhiro Terada; Ryoma Bise (EMBC, 2024)

Domain Generalization for Pathological Images Using the Storage Period Information. - Yuki Shigeyasu; Shota Harada; Akihiko Yoshizawa; Kazuhiro Terada; Naoki Nakazima; Mariyo Kurata; Hiroyuki Abe; Tetsuo Ushiku; Ryoma Bise (ISBI, 2024)

Learning from Partial Label Proportions for Whole Slide Image Segmentation. - Shinnosuke Matsuo; Daiki Suehiro; Seiichi Uchida; Hiroaki Ito; Kazuhiro Terada; Akihiko Yoshizawa; Ryoma Bise (MICCAI (11), 2024)

Domain Generalization of Pathological Image Segmentation by Patch-Level and WSI-Level Contrastive Learning. - Yuki Shigeyasu; Shota Harada; Akihiko Yoshizawa; Kazuhiro Terada; Naoki Nakazima; Mariyo Kurata; Hiroyuki Abe; Tetsuo Ushiku; Ryoma Bise (CoRR, 2025)