Akihiko Yoshizawa

26 papers A* 2A 1Misc 1Journal 11Unranked 11

Year	Rank	Type	Title / 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`	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	—	`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
2022	—	`conf`	Multi-Class Cell Detection Using Modified Self-Attention. CVPR Workshops Tatsuhiko Sugimoto, Hiroaki Ito, Yuki Teramoto, Akihiko Yoshizawa, 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
2020	—	`conf`	Negative Pseudo Labeling Using Class Proportion for Semantic Segmentation in Pathology. ECCV (15) Hiroki Tokunaga, Brian Kenji Iwana, Yuki Teramoto, Akihiko Yoshizawa, Ryoma Bise
2020	J	`jnl`	Negative Pseudo Labeling using Class Proportion for Semantic Segmentation in Pathology. CoRR Hiroki Tokunaga, Brian Kenji Iwana, Yuki Teramoto, Akihiko Yoshizawa, Ryoma Bise
2019	A*	`conf`	Adaptive Weighting Multi-Field-Of-View CNN for Semantic Segmentation in Pathology. CVPR Hiroki Tokunaga, Yuki Teramoto, Akihiko Yoshizawa, Ryoma Bise
2019	J	`jnl`	Adaptive Weighting Multi-Field-of-View CNN for Semantic Segmentation in Pathology. CoRR Hiroki Tokunaga, Yuki Teramoto, Akihiko Yoshizawa, Ryoma Bise
2019	A*	`conf`	Multi-Stage Pathological Image Classification Using Semantic Segmentation. ICCV Shusuke Takahama, Yusuke Kurose, Yusuke Mukuta, Hiroyuki Abe, Masashi Fukayama, Akihiko Yoshizawa, Masanobu Kitagawa, Tatsuya Harada
2019	J	`jnl`	Multi-Stage Pathological Image Classification using Semantic Segmentation. CoRR Shusuke Takahama, Yusuke Kurose, Yusuke Mukuta, Hiroyuki Abe, Masashi Fukayama, Akihiko Yoshizawa, Masanobu Kitagawa, Tatsuya Harada