| 2026 | AAAI | Auxiliary Gene Learning: Spatial Gene Expression Estimation by Auxiliary Gene Selection. | Kaito Shiku, Kazuya Nishimura, Shinnosuke Matsuo, Yasuhiro Kojima, Ryoma Bise |
| 2025 | CVPR | Instance-wise Supervision-level Optimization in Active Learning. | Shinnosuke Matsuo, Riku Togashi, Ryoma Bise, Seiichi Uchida, Masahiro Nomura |
| 2025 | IJCNN | Weakly-Supervised Domain Adaptation with Proportion-Constrained Pseudo-Labeling. | Takumi Okuo, Shinnosuke Matsuo, Shota Harada, Kiyohito Tanaka, Ryoma Bise |
| 2025 | MICCAI | Vascular Photoacoustic Volume Registration via 2D Feature Matching with Reverse Mapping Based on Maximum Intensity Projection. | Junda Liao, Chu Zhou, Yuta Asano, Yushi Suzuki, Ryoma Bise, Nobuaki Imanishi, Kazuo Kishi, Sadakazu Aiso, Imari Sato |
| 2025 | MVA | Enhancing Reliability of Medical Image Diagnosis through Top-rank Learning with Rejection Module. | Xiaotong Ji, Ryoma Bise, Seiichi Uchida |
| 2025 | MVA | Domain Generalization of Pathological Image Segmentation by Patch-Level and WSI-Level Contrastive Learning. | Yuki Shigeyasu, Shota Harada, Akihiko Yoshizawa, Kazuhiro Terada, Naoki Nakazima, Mariyo Kurata, Hiroyuki Abe, Tetsuo Ushiku, Ryoma Bise |
| 2025 | WACV | Ordinal Multiple-instance Learning for Ulcerative Colitis Severity Estimation with Selective Aggregated Transformer. | Kaito Shiku, Kazuya Nishimura, Daiki Suehiro, Kiyohito Tanaka, Ryoma Bise |
| 2024 | BMVC | Guidance-base Diffusion Models for Improving Photoacoustic Image Quality. | Tatsuhiro Eguchi, Shumpei Takezaki, Mihoko Shimano, Takayuki Yagi, Ryoma Bise |
| 2024 | ECAI | Theoretical Proportion Label Perturbation for Learning from Label Proportions in Large Bags. | Shunsuke Kubo, Shinnosuke Matsuo, Daiki Suehiro, Kazuhiro Terada, Hiroaki Ito, Akihiko Yoshizawa, Ryoma Bise |
| 2024 | ICASSP | Counting Network for Learning from Majority Label. | Kaito Shiku, Shinnosuke Matsuo, Daiki Suehiro, Ryoma Bise |
| 2024 | MICCAI | Learning from Partial Label Proportions for Whole Slide Image Segmentation. | Shinnosuke Matsuo, Daiki Suehiro, Seiichi Uchida, Hiroaki Ito, Kazuhiro Terada, Akihiko Yoshizawa, Ryoma Bise |
| 2023 | ICASSP | Learning From Label Proportion with Online Pseudo-Label Decision by Regret Minimization. | Shinnosuke Matsuo, Ryoma Bise, Seiichi Uchida, Daiki Suehiro |
| 2023 | ICCV | MixBag: Bag-Level Data Augmentation for Learning from Label Proportions. | Takanori Asanomi, Shinnosuke Matsuo, Daiki Suehiro, Ryoma Bise |
| 2023 | MICCAI | Mitosis Detection from Partial Annotation by Dataset Generation via Frame-Order Flipping. | Kazuya Nishimura, Ami Katanaya, Shinichiro Chuma, Ryoma Bise |
| 2023 | MICCAI | Proportion Estimation by Masked Learning from Label Proportion. | Takumi Okuo, Kazuya Nishimura, Hiroaki Ito, Kazuhiro Terada, Akihiko Yoshizawa, Ryoma Bise |
| 2023 | WACV | Multi-Frame Attention with Feature-Level Warping for Drone Crowd Tracking. | Takanori Asanomi, Kazuya Nishimura, Ryoma Bise |
| 2023 | WACV | Weakly Supervised Cell-Instance Segmentation with Two Types of Weak Labels by Single Instance Pasting. | Kazuya Nishimura, Ryoma Bise |
| 2022 | CVPR | Multi-Class Cell Detection Using Modified Self-Attention. | Tatsuhiko Sugimoto, Hiroaki Ito, Yuki Teramoto, Akihiko Yoshizawa, Ryoma Bise |
| 2022 | MICCAI | Unsupervised Deep Non-rigid Alignment by Low-Rank Loss and Multi-input Attention. | Takanori Asanomi, Kazuya Nishimura, Heon Song, Junya Hayashida, Hiroyuki Sekiguchi, Takayuki Yagi, Imari Sato, Ryoma Bise |
| 2022 | WACV | Consistent Cell Tracking in Multi-frames with Spatio-Temporal Context by Object-Level Warping Loss. | Junya Hayashida, Kazuya Nishimura, Ryoma Bise |
| 2021 | MICCAI | Cell Detection in Domain Shift Problem Using Pseudo-Cell-Position Heatmap. | Hyeonwoo Cho, Kazuya Nishimura, Kazuhide Watanabe, Ryoma Bise |
| 2021 | MICCAI | Cell Detection from Imperfect Annotation by Pseudo Label Selection Using P-classification. | Kazuma Fujii, Daiki Suehiro, Kazuya Nishimura, Ryoma Bise |
| 2021 | MICCAI | Order-Guided Disentangled Representation Learning for Ulcerative Colitis Classification with Limited Labels. | Shota Harada, Ryoma Bise, Hideaki Hayashi, Kiyohito Tanaka, Seiichi Uchida |
| 2021 | MICCAI | Semi-supervised Cell Detection in Time-Lapse Images Using Temporal Consistency. | Kazuya Nishimura, Hyeonwoo Cho, Ryoma Bise |
| 2020 | CVPR | MPM: Joint Representation of Motion and Position Map for Cell Tracking. | Junya Hayashida, Kazuya Nishimura, Ryoma Bise |
| 2020 | ECCV | Weakly-Supervised Cell Tracking via Backward-and-Forward Propagation. | Kazuya Nishimura, Junya Hayashida, Chenyang Wang, Dai Fei Elmer Ker, Ryoma Bise |
| 2020 | ECCV | Negative Pseudo Labeling Using Class Proportion for Semantic Segmentation in Pathology. | Hiroki Tokunaga, Brian Kenji Iwana, Yuki Teramoto, Akihiko Yoshizawa, Ryoma Bise |
| 2020 | MICCAI | Imaging Scattering Characteristics of Tissue in Transmitted Microscopy. | Mihoko Shimano, Yuta Asano, Shin Ishihara, Ryoma Bise, Imari Sato |
| 2019 | CVPR | Adaptive Weighting Multi-Field-Of-View CNN for Semantic Segmentation in Pathology. | Hiroki Tokunaga, Yuki Teramoto, Akihiko Yoshizawa, Ryoma Bise |
| 2019 | MICCAI | Efficient Soft-Constrained Clustering for Group-Based Labeling. | Ryoma Bise, Kentaro Abe, Hideaki Hayashi, Kiyohito Tanaka, Seiichi Uchida |
| 2019 | MICCAI | Cell Tracking with Deep Learning for Cell Detection and Motion Estimation in Low-Frame-Rate. | Junya Hayashida, Ryoma Bise |
| 2019 | MICCAI | Weakly Supervised Cell Instance Segmentation by Propagating from Detection Response. | Kazuya Nishimura, Dai Fei Elmer Ker, Ryoma Bise |
| 2017 | CVPR | Wetness and Color from a Single Multispectral Image. | Mihoko Shimano, Hiroki Okawa, Yuta Asano, Ryoma Bise, Ko Nishino, Imari Sato |
| 2017 | MICCAI | Semi-supervised Learning for Biomedical Image Segmentation via Forest Oriented Super Pixels(Voxels). | Lin Gu, Yinqiang Zheng, Ryoma Bise, Imari Sato, Nobuaki Imanishi, Sadakazu Aiso |
| 2017 | MICCAI | Separation of Transmitted Light and Scattering Components in Transmitted Microscopy. | Mihoko Shimano, Ryoma Bise, Yinqiang Zheng, Imari Sato |
| 2016 | CVPR | 3D Structure Modeling of Dense Capillaries by Multi-objects Tracking. | Ryoma Bise, Imari Sato, Kentaro Kajiya, Toyonobu Yamashita |
| 2016 | MICCAI | Vascular Registration in Photoacoustic Imaging by Low-Rank Alignment via Foreground, Background and Complement Decomposition. | Ryoma Bise, Yingqiang Zheng, Imari Sato, Masakazu Toi |
| 2011 | WACV | Cell image analysis: Algorithms, system and applications. | Takeo Kanade, Zhaozheng Yin, Ryoma Bise, Seungil Huh, Sungeun Eom, Michael F. Sandbothe, Mei Chen |