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2020 – today
- 2024
[c13]Shunsuke Kubo, Shinnosuke Matsuo, Daiki Suehiro, Kazuhiro Terada, Hiroaki Ito, Akihiko Yoshizawa, Ryoma Bise:
Theoretical Proportion Label Perturbation for Learning from Label Proportions in Large Bags. ECAI 2024: 2194-2201- [c12]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 - [c11]Shinnosuke Matsuo, Daiki Suehiro, Seiichi Uchida, Hiroaki Ito, Kazuhiro Terada, Akihiko Yoshizawa, Ryoma Bise:
Learning from Partial Label Proportions for Whole Slide Image Segmentation. MICCAI (11) 2024: 372-382 - [i10]Takumi Okuo, Kazuya Nishimura, Hiroaki Ito, Kazuhiro Terada, Akihiko Yoshizawa, Ryoma Bise:
Proportion Estimation by Masked Learning from Label Proportion. CoRR abs/2405.04815 (2024) - [i9]Shinnosuke Matsuo, Daiki Suehiro, Seiichi Uchida, Hiroaki Ito, Kazuhiro Terada, Akihiko Yoshizawa, Ryoma Bise:
Learning from Partial Label Proportions for Whole Slide Image Segmentation. CoRR abs/2405.09041 (2024) - [i8]Shunsuke Kubo, Shinnosuke Matsuo, Daiki Suehiro, Kazuhiro Terada, Hiroaki Ito, Akihiko Yoshizawa, Ryoma Bise:
Theoretical Proportion Label Perturbation for Learning from Label Proportions in Large Bags. CoRR abs/2408.14130 (2024) - 2023
- [c10]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 - [c9]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 - [c8]Yuki Shigeyasu, Kengo Araki, Shota Harada, Akihiko Yoshizawa, Kazuhiro Terada, Ryoma Bise:
Spatial Distribution-Based Pseudo Labeling for Pathological Image Segmentation. ISBI 2023: 1-5 - [c7]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 - [c6]Takumi Okuo, Kazuya Nishimura, Hiroaki Ito, Kazuhiro Terada, Akihiko Yoshizawa, Ryoma Bise:
Proportion Estimation by Masked Learning from Label Proportion. DALI@MICCAI 2023: 117-126 - [i7]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) - [i6]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) - [i5]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) - 2022
- [c5]Tatsuhiko Sugimoto, Hiroaki Ito, Yuki Teramoto
, Akihiko Yoshizawa, Ryoma Bise:
Multi-Class Cell Detection Using Modified Self-Attention. CVPR Workshops 2022: 1854-1862 - 2021
- [c4]Kengo Araki, Mariyo Rokutan-Kurata, Kazuhiro Terada, Akihiko Yoshizawa, Ryoma Bise:
Patch-Based Cervical Cancer Segmentation using Distance from Boundary of Tissue. EMBC 2021: 3328-3331 - [i4]Kengo Araki, Mariyo Rokutan-Kurata, Kazuhiro Terada, Akihiko Yoshizawa, Ryoma Bise:
Patch-Based Cervical Cancer Segmentation using Distance from Boundary of Tissue. CoRR abs/2108.08508 (2021) - 2020
- [c3]Hiroki Tokunaga, Brian Kenji Iwana, Yuki Teramoto, Akihiko Yoshizawa, Ryoma Bise:
Negative Pseudo Labeling Using Class Proportion for Semantic Segmentation in Pathology. ECCV (15) 2020: 430-446 - [i3]Hiroki Tokunaga, Brian Kenji Iwana, Yuki Teramoto, Akihiko Yoshizawa, Ryoma Bise:
Negative Pseudo Labeling using Class Proportion for Semantic Segmentation in Pathology. CoRR abs/2007.08044 (2020)
2010 – 2019
- 2019
- [c2]Hiroki Tokunaga, Yuki Teramoto, Akihiko Yoshizawa, Ryoma Bise:
Adaptive Weighting Multi-Field-Of-View CNN for Semantic Segmentation in Pathology. CVPR 2019: 12597-12606 - [c1]Shusuke Takahama, Yusuke Kurose, Yusuke Mukuta, Hiroyuki Abe, Masashi Fukayama, Akihiko Yoshizawa, Masanobu Kitagawa, Tatsuya Harada:
Multi-Stage Pathological Image Classification Using Semantic Segmentation. ICCV 2019: 10701-10710 - [i2]Hiroki Tokunaga, Yuki Teramoto, Akihiko Yoshizawa, Ryoma Bise:
Adaptive Weighting Multi-Field-of-View CNN for Semantic Segmentation in Pathology. CoRR abs/1904.06040 (2019) - [i1]Shusuke Takahama, Yusuke Kurose, Yusuke Mukuta, Hiroyuki Abe, Masashi Fukayama, Akihiko Yoshizawa, Masanobu Kitagawa, Tatsuya Harada:
Multi-Stage Pathological Image Classification using Semantic Segmentation. CoRR abs/1910.04473 (2019)
Coauthor Index
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last updated on 2024-10-28 20:14 CET by the dblp team
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