Tetsuo Ushiku

14 papers Misc 1Journal 8Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Comprehensive Pathological Image Segmentation via Teacher Aggregation for Tumor Microenvironment Analysis.
CoRR
Daisuke Komura, Maki Takao, Mieko Ochi, Takumi Onoyama, Hiroto Katoh, Hiroyuki Abe, Hiroyuki Sano, Teppei Konishi, Toshio Kumasaka, Tomoyuki Yokose, Yohei Miyagi, Tetsuo Ushiku, Shumpei Ishikawa
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
2025 J jnl
Domain-adaptive semi-supervised learning for efficient rare pathological lesion detection with minimal annotation.
npj Digit. Medicine
Isao Matsui, Ayumi Matsumoto, Atsuhiro Imai, Hiroki Okushima, Hirohiko Niioka, Masatoshi Abe, Natsune Tamai, Hajime Nagasu, Eiichiro Kanda, Eiichiro Uchino, Tadashi Sofue, Toshiyuki Imasawa, Yuichiro Yano, Hiroshi Kinashi, Ken-ichi Miyoshi, Tamaki Harada, Yasuyuki Nagasawa, Keiji Fujimoto, Yuka Kurokawa, Sawako Kato, Ryohei Kaseda, Masahiro Koizumi, Yasuo Kusunoki, Masaki Ohya, Yoshimasa Kawazoe, Hiroyuki Abe, Yuta Matsukuma, Takaaki Kosugi, Yoshiyasu Ueda, Naohiko Fujii, Masanobu Takeji, Akira Suzuki, Katsuyuki Nagatoya, Kazumasa Oka, Yutaka Ando, Masaaki Izumi, Toshiyuki Komiya, Tatsuo Tsukamoto, Imari Mimura, Takahiro Kuragano, Toshiaki Nakano, Kazuhiko Tsuruya, Yasuhiko Ito, Tetsuo Minamino, Osamu Yamaguchi, Suguru Yamamoto, Hirotaka Komaba, Kengo Furuichi, Kei Fukami, Shin-ichi Araki, Takao Masaki, Naotake Tsuboi, Hitoshi Yokoyama, Akira Shimizu, Tetsuo Ushiku, Shoichi Maruyama, Motoko Yanagita, Masaomi Nangaku, Ryohei Yamamoto, Kazunori Inoue, Yoshitaka Isaka
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
Enhanced Interpretability in Histopathological Images via Combined Tissue and Cell-Level Graph Analysis.
AMAI@MICCAI
Mieko Ochi, Daisuke Komura, Tetsuo Ushiku, Yasushi Rino, Shumpei Ishikawa
2024 J jnl
SegRep: Mask-Supervised Learning for Segment Representation in Pathology Images.
IEEE Access
Chichun Yang, Daisuke Komura, Mieko Ochi, Miwako Kakiuchi, Hiroto Katoh, Tetsuo Ushiku, Shumpei Ishikawa
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
Domain Adaptive Multiple Instance Learning for Instance-Level Prediction of Pathological Images.
ISBI
Shusuke Takahama, Yusuke Kurose, Yusuke Mukuta, Hiroyuki Abe, Akihiko Yoshizawa, Tetsuo Ushiku, Masashi Fukayama, Masanobu Kitagawa, Masaru Kitsuregawa, Tatsuya Harada
2023 J jnl
Domain Adaptive Multiple Instance Learning for Instance-level Prediction of Pathological Images.
CoRR
Shusuke Takahama, Yusuke Kurose, Yusuke Mukuta, Hiroyuki Abe, Akihiko Yoshizawa, Tetsuo Ushiku, Masashi Fukayama, Masanobu Kitagawa, Masaru Kitsuregawa, Tatsuya Harada
2023 J jnl
Restaining-based annotation for cancer histology segmentation to overcome annotation-related limitations among pathologists.
Patterns
Daisuke Komura, Takumi Onoyama, Koki Shinbo, Hiroto Odaka, Minako Hayakawa, Mieko Ochi, Ranny Rahaningrum Herdiantoputri, Haruya Endo, Hiroto Katoh, Tohru Ikeda, Tetsuo Ushiku, Shumpei Ishikawa