Tetsuo Ushiku

According to our database, Tetsuo Ushiku authored at least 6 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

SegRep: Mask-Supervised Learning for Segment Representation in Pathology Images.

Chichun Yang, Daisuke Komura, Mieko Ochi, Miwako Kakiuchi, Hiroto Katoh, Tetsuo Ushiku, Shumpei Ishikawa

IEEE Access, 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

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Restaining-based annotation for cancer histology segmentation to overcome annotation-related limitations among pathologists.

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

Patterns, February, 2023

Domain Adaptive Multiple Instance Learning for Instance-Level Prediction of Pathological Images.

Shusuke Takahama, Yusuke Kurose, Yusuke Mukuta, Hiroyuki Abe, Akihiko Yoshizawa, Tetsuo Ushiku, Masashi Fukayama, Masanobu Kitagawa, Masaru Kitsuregawa, Tatsuya Harada

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 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

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

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

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023