Tetsuo Ushiku - researchr alias

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Viewing Publication 1 - 4 from 4

2023

Cluster-Guided Semi-Supervised Domain Adaptation for Imbalanced Medical Image ClassificationShota Harada, Ryoma Bise, Kengo Araki, Akihiko Yoshizawa, Kazuhiro Terada, Mariyo Kurata, Naoki Nakajima, Hiroyuki Abe, Tetsuo Ushiku, Seiichi Uchida. isbi 2023: 1-5 [doi]

Restaining-based annotation for cancer histology segmentation to overcome annotation-related limitations among pathologistsDaisuke Komura, Takumi Onoyama, Koki Shinbo, Hiroto Odaka, Minako Hayakawa, Mieko Ochi, Ranny Rahaningrum Herdiantoputri, Haruya Endo, Hiroto Katoh, Tohru Ikeda, Tetsuo Ushiku, Shumpei Ishikawa. patterns, 4(2):100688, February 2023. [doi]

Cluster Entropy: Active Domain Adaptation in Pathological Image SegmentationXiaoqing Liu, Kengo Araki, Shota Harada, Akihiko Yoshizawa, Kazuhiro Terada, Mariyo Kurata, Naoki Nakajima, Hiroyuki Abe, Tetsuo Ushiku, Ryoma Bise. isbi 2023: 1-5 [doi]

Domain Adaptive Multiple Instance Learning for Instance-Level Prediction of Pathological ImagesShusuke Takahama, Yusuke Kurose, Yusuke Mukuta, Hiroyuki Abe, Akihiko Yoshizawa, Tetsuo Ushiku, Masashi Fukayama, Masanobu Kitagawa, Masaru Kitsuregawa, Tatsuya Harada. isbi 2023: 1-5 [doi]

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