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ORCIDTetsuo Ushiku
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2020 – today
- 2025
[j3]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:
Domain-adaptive semi-supervised learning for efficient rare pathological lesion detection with minimal annotation. npj Digit. Medicine 8(1) (2025)- [c6]Yuki Shigeyasu, Shota Harada, Akihiko Yoshizawa, Kazuhiro Terada, Naoki Nakazima, Mariyo Kurata, Hiroyuki Abe, Tetsuo Ushiku, Ryoma Bise:
Domain Generalization of Pathological Image Segmentation by Patch-Level and WSI-Level Contrastive Learning. MVA 2025: 1-5 - [i5]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:
Comprehensive Pathological Image Segmentation via Teacher Aggregation for Tumor Microenvironment Analysis. CoRR abs/2501.02909 (2025) - [i4]Yuki Shigeyasu, Shota Harada, Akihiko Yoshizawa, Kazuhiro Terada, Naoki Nakazima, Mariyo Kurata, Hiroyuki Abe, Tetsuo Ushiku, Ryoma Bise:
Domain Generalization of Pathological Image Segmentation by Patch-Level and WSI-Level Contrastive Learning. CoRR abs/2508.07539 (2025) - 2024
- [j2]Chichun Yang
, Daisuke Komura, Mieko Ochi, Miwako Kakiuchi, Hiroto Katoh, Tetsuo Ushiku, Shumpei Ishikawa:
SegRep: Mask-Supervised Learning for Segment Representation in Pathology Images. IEEE Access 12: 141729-141740 (2024) - [c5]Yuki Shigeyasu, Shota Harada, Akihiko Yoshizawa, Kazuhiro Terada, Naoki Nakazima, Mariyo Kurata, Hiroyuki Abe, Tetsuo Ushiku, Ryoma Bise:
Domain Generalization for Pathological Images Using the Storage Period Information. ISBI 2024: 1-5 - [c4]Mieko Ochi, Daisuke Komura, Tetsuo Ushiku, Yasushi Rino, Shumpei Ishikawa:
Enhanced Interpretability in Histopathological Images via Combined Tissue and Cell-Level Graph Analysis. AMAI@MICCAI 2024: 54-63 - 2023
- [j1]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:
Restaining-based annotation for cancer histology segmentation to overcome annotation-related limitations among pathologists. Patterns 4(2): 100688 (2023) - [c3]Shota Harada, Ryoma Bise, Kengo Araki, Akihiko Yoshizawa, Kazuhiro Terada, Mariyo Kurata, Naoki Nakajima, Hiroyuki Abe, Tetsuo Ushiku, Seiichi Uchida:
Cluster-Guided Semi-Supervised Domain Adaptation for Imbalanced Medical Image Classification. ISBI 2023: 1-5 - [c2]Xiaoqing Liu, Kengo Araki, Shota Harada, Akihiko Yoshizawa, Kazuhiro Terada, Mariyo Kurata, Naoki Nakajima, Hiroyuki Abe, Tetsuo Ushiku, Ryoma Bise:
Cluster Entropy: Active Domain Adaptation in Pathological Image Segmentation. ISBI 2023: 1-5 - [c1]Shusuke Takahama, Yusuke Kurose, Yusuke Mukuta, Hiroyuki Abe, Akihiko Yoshizawa, Tetsuo Ushiku, Masashi Fukayama, Masanobu Kitagawa, Masaru Kitsuregawa, Tatsuya Harada:
Domain Adaptive Multiple Instance Learning for Instance-Level Prediction of Pathological Images. ISBI 2023: 1-5 - [i3]Shota Harada, Ryoma Bise, Kengo Araki, Akihiko Yoshizawa, Kazuhiro Terada, Mariyo Rokutan-Kurata, Naoki Nakajima, Hiroyuki Abe, Tetsuo Ushiku, Seiichi Uchida:
Cluster-Guided Semi-Supervised Domain Adaptation for Imbalanced Medical Image Classification. CoRR abs/2303.01283 (2023) - [i2]Shusuke Takahama, Yusuke Kurose, Yusuke Mukuta, Hiroyuki Abe, Akihiko Yoshizawa, Tetsuo Ushiku, Masashi Fukayama, Masanobu Kitagawa, Masaru Kitsuregawa, Tatsuya Harada:
Domain Adaptive Multiple Instance Learning for Instance-level Prediction of Pathological Images. CoRR abs/2304.03537 (2023) - [i1]Xiaoqing Liu, Kengo Araki, Shota Harada, Akihiko Yoshizawa, Kazuhiro Terada, Mariyo Kurata, Naoki Nakajima, Hiroyuki Abe, Tetsuo Ushiku, Ryoma Bise:
Cluster Entropy: Active Domain Adaptation in Pathological Image Segmentation. CoRR abs/2304.13513 (2023)
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