Kazuhiro Terada

17 papers A 1Misc 1Journal 7Unranked 8
YearRankTypeTitle / Venue / Authors
2025 Misc conf
Domain Generalization of Pathological Image Segmentation by Patch-Level and WSI-Level Contrastive Learning.
MVA
Yuki Shigeyasu, Shota Harada, Akihiko Yoshizawa, Kazuhiro Terada, Naoki Nakazima, Mariyo Kurata, Hiroyuki Abe, Tetsuo Ushiku, Ryoma Bise
2025 J jnl
Domain Generalization of Pathological Image Segmentation by Patch-Level and WSI-Level Contrastive Learning.
CoRR
Yuki Shigeyasu, Shota Harada, Akihiko Yoshizawa, Kazuhiro Terada, Naoki Nakazima, Mariyo Kurata, Hiroyuki Abe, Tetsuo Ushiku, Ryoma Bise
2024 — conf
Diameter-based pseudo labeling for pathological image segmentation.
EMBC
Yuki Shigeyasu, Shota Harada, Akihiko Yoshizawa, Kazuhiro Terada, Ryoma Bise
2024 — conf
Domain Generalization for Pathological Images Using the Storage Period Information.
ISBI
Yuki Shigeyasu, Shota Harada, Akihiko Yoshizawa, Kazuhiro Terada, Naoki Nakazima, Mariyo Kurata, Hiroyuki Abe, Tetsuo Ushiku, Ryoma Bise
2024 — conf
Learning from Partial Label Proportions for Whole Slide Image Segmentation.
MICCAI (11)
Shinnosuke Matsuo, Daiki Suehiro, Seiichi Uchida, Hiroaki Ito, Kazuhiro Terada, Akihiko Yoshizawa, Ryoma Bise
2024 J jnl
Learning from Partial Label Proportions for Whole Slide Image Segmentation.
CoRR
Shinnosuke Matsuo, Daiki Suehiro, Seiichi Uchida, Hiroaki Ito, Kazuhiro Terada, Akihiko Yoshizawa, Ryoma Bise
2024 J jnl
Proportion Estimation by Masked Learning from Label Proportion.
CoRR
Takumi Okuo, Kazuya Nishimura, Hiroaki Ito, Kazuhiro Terada, Akihiko Yoshizawa, Ryoma Bise
2024 A conf
Theoretical Proportion Label Perturbation for Learning from Label Proportions in Large Bags.
ECAI
Shunsuke Kubo, Shinnosuke Matsuo, Daiki Suehiro, Kazuhiro Terada, Hiroaki Ito, Akihiko Yoshizawa, Ryoma Bise
2024 J jnl
Theoretical Proportion Label Perturbation for Learning from Label Proportions in Large Bags.
CoRR
Shunsuke Kubo, Shinnosuke Matsuo, Daiki Suehiro, Kazuhiro Terada, Hiroaki Ito, Akihiko Yoshizawa, Ryoma Bise
2023 — conf
Cluster Entropy: Active Domain Adaptation in Pathological Image Segmentation.
ISBI
Xiaoqing Liu, Kengo Araki, Shota Harada, Akihiko Yoshizawa, Kazuhiro Terada, Mariyo Kurata, Naoki Nakajima, Hiroyuki Abe, Tetsuo Ushiku, Ryoma Bise
2023 J jnl
Cluster Entropy: Active Domain Adaptation in Pathological Image Segmentation.
CoRR
Xiaoqing Liu, Kengo Araki, Shota Harada, Akihiko Yoshizawa, Kazuhiro Terada, Mariyo Kurata, Naoki Nakajima, Hiroyuki Abe, Tetsuo Ushiku, Ryoma Bise
2023 — conf
Cluster-Guided Semi-Supervised Domain Adaptation for Imbalanced Medical Image Classification.
ISBI
Shota Harada, Ryoma Bise, Kengo Araki, Akihiko Yoshizawa, Kazuhiro Terada, Mariyo Kurata, Naoki Nakajima, Hiroyuki Abe, Tetsuo Ushiku, Seiichi Uchida
2023 J jnl
Cluster-Guided Semi-Supervised Domain Adaptation for Imbalanced Medical Image Classification.
CoRR
Shota Harada, Ryoma Bise, Kengo Araki, Akihiko Yoshizawa, Kazuhiro Terada, Mariyo Rokutan-Kurata, Naoki Nakajima, Hiroyuki Abe, Tetsuo Ushiku, Seiichi Uchida
2023 — conf
Proportion Estimation by Masked Learning from Label Proportion.
DALI@MICCAI
Takumi Okuo, Kazuya Nishimura, Hiroaki Ito, Kazuhiro Terada, Akihiko Yoshizawa, Ryoma Bise
2023 — conf
Spatial Distribution-Based Pseudo Labeling for Pathological Image Segmentation.
ISBI
Yuki Shigeyasu, Kengo Araki, Shota Harada, Akihiko Yoshizawa, Kazuhiro Terada, Ryoma Bise
2021 — conf
Patch-Based Cervical Cancer Segmentation using Distance from Boundary of Tissue.
EMBC
Kengo Araki, Mariyo Rokutan-Kurata, Kazuhiro Terada, Akihiko Yoshizawa, Ryoma Bise
2021 J jnl
Patch-Based Cervical Cancer Segmentation using Distance from Boundary of Tissue.
CoRR
Kengo Araki, Mariyo Rokutan-Kurata, Kazuhiro Terada, Akihiko Yoshizawa, Ryoma Bise