Detection of hematopoietic stem cells in microscopy images using a bank of ring filters. - Sungeun Eom; Ryoma Bise; Takeo Kanade (ISBI, 2010)

Cell segmentation in microscopy imagery using a bag of local Bayesian classifiers. - Zhaozheng Yin; Ryoma Bise; Mei Chen; Takeo Kanade (ISBI, 2010)

Automatic cell tracking applied to analysis of cell migration in wound healing assay. - Ryoma Bise; Takeo Kanade; Zhaozheng Yin; Seungil Huh (EMBC, 2011)

Reliable cell tracking by global data association. - Ryoma Bise; Zhaozheng Yin; Takeo Kanade (ISBI, 2011)

Mitosis detection for stem cell tracking in phase-contrast microscopy images. - Seungil Huh; Sungeun Eom; Ryoma Bise; Zhaozheng Yin; Takeo Kanade (ISBI, 2011)

Cell image analysis: Algorithms, system and applications. - Takeo Kanade; Zhaozheng Yin; Ryoma Bise; Seungil Huh; Sungeun Eom; Michael F. Sandbothe; Mei Chen (WACV, 2011)

Automated Mitosis Detection of Stem Cell Populations in Phase-Contrast Microscopy Images. - Seungil Huh; Dai Fei Elmer Ker; Ryoma Bise; Mei Chen; Takeo Kanade (IEEE Trans. Medical Imaging, 2011)

Cell Detection From Redundant Candidate Regions Under Nonoverlapping Constraints. - Ryoma Bise; Yoichi Sato 001 (IEEE Trans. Medical Imaging, 2015)

3D Structure Modeling of Dense Capillaries by Multi-objects Tracking. - Ryoma Bise; Imari Sato; Kentaro Kajiya; Toyonobu Yamashita (CVPR Workshops, 2016)

Vascular Registration in Photoacoustic Imaging by Low-Rank Alignment via Foreground, Background and Complement Decomposition. - Ryoma Bise; Yingqiang Zheng; Imari Sato; Masakazu Toi (MICCAI (3), 2016)

Wetness and Color from a Single Multispectral Image. - Mihoko Shimano; Hiroki Okawa; Yuta Asano; Ryoma Bise; Ko Nishino; Imari Sato (CVPR, 2017)

Virtual Blood Vessels in Complex Background Using Stereo X-Ray Images. - Qiuyu Chen; Ryoma Bise; Lin Gu 003; Yinqiang Zheng; Imari Sato; Jenq-Neng Hwang; Sadakazu Aiso; Nobuaki Imanishi (ICCV Workshops, 2017)

Semi-supervised Learning for Biomedical Image Segmentation via Forest Oriented Super Pixels(Voxels). - Lin Gu 003; Yinqiang Zheng; Ryoma Bise; Imari Sato; Nobuaki Imanishi; Sadakazu Aiso (MICCAI (1), 2017)

Separation of Transmitted Light and Scattering Components in Transmitted Microscopy. - Mihoko Shimano; Ryoma Bise; Yinqiang Zheng; Imari Sato (MICCAI (2), 2017)

Adaptive Weighting Multi-Field-Of-View CNN for Semantic Segmentation in Pathology. - Hiroki Tokunaga; Yuki Teramoto; Akihiko Yoshizawa; Ryoma Bise (CVPR, 2019)

Scribbles for Metric Learning in Histological Image Segmentation. - Daisuke Harada; Ryoma Bise; Hiroki Tokunaga; Wataru Ohyama; Sanae Oka; Toshihiko Fujimori; Seiichi Uchida (EMBC, 2019)

Endoscopic Image Clustering with Temporal Ordering Information Based on Dynamic Programming. - Shota Harada; Hideaki Hayashi; Ryoma Bise; Kiyohito Tanaka; Qier Meng; Seiichi Uchida (EMBC, 2019)

Semi-Supervised Learning With Structured Knowledge For Body Hair Detection In Photoacoustic Image. - Ryo Kikkawa; Hiroyuki Sekiguchi; Itaru Tsuge; Susumu Saito; Ryoma Bise (ISBI, 2019)

Efficient Soft-Constrained Clustering for Group-Based Labeling. - Ryoma Bise; Kentaro Abe; Hideaki Hayashi; Kiyohito Tanaka; Seiichi Uchida (MICCAI (5), 2019)

Cell Tracking with Deep Learning for Cell Detection and Motion Estimation in Low-Frame-Rate. - Junya Hayashida; Ryoma Bise (MICCAI (1), 2019)

Weakly Supervised Cell Instance Segmentation by Propagating from Detection Response. - Kazuya Nishimura; Dai Fei Elmer Ker; Ryoma Bise (MICCAI (1), 2019)

MPM: Joint Representation of Motion and Position Map for Cell Tracking. - Junya Hayashida; Kazuya Nishimura; Ryoma Bise (CVPR, 2020)

Weakly-Supervised Cell Tracking via Backward-and-Forward Propagation. - Kazuya Nishimura; Junya Hayashida; Chenyang Wang; Dai Fei Elmer Ker; Ryoma Bise (ECCV (12), 2020)

Negative Pseudo Labeling Using Class Proportion for Semantic Segmentation in Pathology. - Hiroki Tokunaga; Brian Kenji Iwana; Yuki Teramoto; Akihiko Yoshizawa; Ryoma Bise (ECCV (15), 2020)

Spatial-Temporal Mitosis Detection in Phase-Contrast Microscopy via Likelihood Map Estimation by 3DCNN. - Kazuya Nishimura; Ryoma Bise (EMBC, 2020)

Imaging Scattering Characteristics of Tissue in Transmitted Microscopy. - Mihoko Shimano; Yuta Asano; Shin Ishihara; Ryoma Bise; Imari Sato (MICCAI (5), 2020)

Patch-Based Cervical Cancer Segmentation using Distance from Boundary of Tissue. - Kengo Araki; Mariyo Rokutan-Kurata; Kazuhiro Terada; Akihiko Yoshizawa; Ryoma Bise (EMBC, 2021)

Unsupervised Body Hair Detection by Positive-Unlabeled Learning in Photoacoustic Image. - Ryo Kikkawa; Hiroki Kajita; Nobuaki Imanishi; Sadakazu Aiso; Ryoma Bise (EMBC, 2021)

Cell Detection in Domain Shift Problem Using Pseudo-Cell-Position Heatmap. - Hyeonwoo Cho; Kazuya Nishimura; Kazuhide Watanabe; Ryoma Bise (MICCAI (8), 2021)

Cell Detection from Imperfect Annotation by Pseudo Label Selection Using P-classification. - Kazuma Fujii; Daiki Suehiro; Kazuya Nishimura; Ryoma Bise (MICCAI (8), 2021)

Order-Guided Disentangled Representation Learning for Ulcerative Colitis Classification with Limited Labels. - Shota Harada; Ryoma Bise; Hideaki Hayashi; Kiyohito Tanaka; Seiichi Uchida (MICCAI (2), 2021)

Semi-supervised Cell Detection in Time-Lapse Images Using Temporal Consistency. - Kazuya Nishimura; Hyeonwoo Cho; Ryoma Bise (MICCAI (8), 2021)

Soft and self constrained clustering for group-based labeling. - Shota Harada; Ryoma Bise; Hideaki Hayashi; Kiyohito Tanaka; Seiichi Uchida (Medical Image Anal., 2021)

Weakly supervised cell instance segmentation under various conditions. - Kazuya Nishimura; Chenyang Wang; Kazuhide Watanabe; Dai Fei Elmer Ker; Ryoma Bise (Medical Image Anal., 2021)

Multi-Class Cell Detection Using Modified Self-Attention. - Tatsuhiko Sugimoto; Hiroaki Ito; Yuki Teramoto; Akihiko Yoshizawa; Ryoma Bise (CVPR Workshops, 2022)

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 (MICCAI (6), 2022)

Deep Bayesian Active-Learning-to-Rank for Endoscopic Image Data. - Takeaki Kadota; Hideaki Hayashi; Ryoma Bise; Kiyohito Tanaka; Seiichi Uchida (MIUA, 2022)

Consistent Cell Tracking in Multi-frames with Spatio-Temporal Context by Object-Level Warping Loss. - Junya Hayashida; Kazuya Nishimura; Ryoma Bise (WACV, 2022)

Automatic Estimation of Ulcerative Colitis Severity by Learning to Rank With Calibration. - Takeaki Kadota; Kentaro Abe; Ryoma Bise; Takuji Kawamura; Naokuni Sakiyama; Kiyohito Tanaka; Seiichi Uchida (IEEE Access, 2022)

Effective pseudo-labeling based on heatmap for unsupervised domain adaptation in cell detection. - Hyeonwoo Cho; Kazuya Nishimura; Kazuhide Watanabe; Ryoma Bise (Medical Image Anal., 2022)

Estimation of Wetness and Color from a Single Multispectral Image. - Hiroki Okawa; Mihoko Shimano; Yuta Asano; Ryoma Bise; Ko Nishino; Imari Sato (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Cell Tracking in C. elegans with Cell Position Heatmap-Based Alignment and Pairwise Detection. - Kaito Shiku; Hiromitsu Shirai; Takeshi Ishihara; Ryoma Bise (EMBC, 2023)

Learning From Label Proportion with Online Pseudo-Label Decision by Regret Minimization. - Shinnosuke Matsuo; Ryoma Bise; Seiichi Uchida; Daiki Suehiro (ICASSP, 2023)

MixBag: Bag-Level Data Augmentation for Learning from Label Proportions. - Takanori Asanomi; Shinnosuke Matsuo; Daiki Suehiro; Ryoma Bise (ICCV, 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 (ISBI, 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 (ISBI, 2023)

Mixing Data Augmentation with Preserving Foreground Regions in Medical Image Segmentation. - Xiaoqing Liu; Kenji Ono; Ryoma Bise (ISBI, 2023)

Spatial Distribution-Based Pseudo Labeling for Pathological Image Segmentation. - Yuki Shigeyasu; Kengo Araki; Shota Harada; Akihiko Yoshizawa; Kazuhiro Terada; Ryoma Bise (ISBI, 2023)

Mitosis Detection from Partial Annotation by Dataset Generation via Frame-Order Flipping. - Kazuya Nishimura; Ami Katanaya; Shinichiro Chuma; Ryoma Bise (MICCAI (8), 2023)

Proportion Estimation by Masked Learning from Label Proportion. - Takumi Okuo; Kazuya Nishimura; Hiroaki Ito; Kazuhiro Terada; Akihiko Yoshizawa; Ryoma Bise (DALI@MICCAI, 2023)

Multi-Frame Attention with Feature-Level Warping for Drone Crowd Tracking. - Takanori Asanomi; Kazuya Nishimura; Ryoma Bise (WACV, 2023)

Weakly Supervised Cell-Instance Segmentation with Two Types of Weak Labels by Single Instance Pasting. - Kazuya Nishimura; Ryoma Bise (WACV, 2023)

Guidance-base Diffusion Models for Improving Photoacoustic Image Quality. - Tatsuhiro Eguchi; Shumpei Takezaki; Mihoko Shimano; Takayuki Yagi; Ryoma Bise (BMVC, 2024)

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 (ECAI, 2024)

Diameter-based pseudo labeling for pathological image segmentation. - Yuki Shigeyasu; Shota Harada; Akihiko Yoshizawa; Kazuhiro Terada; Ryoma Bise (EMBC, 2024)

Counting Network for Learning from Majority Label. - Kaito Shiku; Shinnosuke Matsuo; Daiki Suehiro; Ryoma Bise (ICASSP, 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 (ISBI, 2024)

Learning from Partial Label Proportions for Whole Slide Image Segmentation. - Shinnosuke Matsuo; Daiki Suehiro; Seiichi Uchida; Hiroaki Ito; Kazuhiro Terada; Akihiko Yoshizawa; Ryoma Bise (MICCAI (11), 2024)

A data augmentation approach that ensures the reliability of foregrounds in medical image segmentation. - Xiaoqing Liu; Kenji Ono; Ryoma Bise (Image Vis. Comput., 2024)

Deep Bayesian active learning-to-rank with relative annotation for estimation of ulcerative colitis severity. - Takeaki Kadota; Hideaki Hayashi; Ryoma Bise; Kiyohito Tanaka; Seiichi Uchida (Medical Image Anal., 2024)

Instance-wise Supervision-level Optimization in Active Learning. - Shinnosuke Matsuo; Riku Togashi; Ryoma Bise; Seiichi Uchida; Masahiro Nomura (CVPR, 2025)

Towards Spatial Transcriptomics-Guided Pathological Image Recognition with Batch-Agnostic Encoder. - Kazuya Nishimura; Ryoma Bise; Yasuhiro Kojima (ISBI, 2025)

Ordinal Multiple-instance Learning for Ulcerative Colitis Severity Estimation with Selective Aggregated Transformer. - Kaito Shiku; Kazuya Nishimura; Daiki Suehiro; Kiyohito Tanaka; Ryoma Bise (WACV, 2025)

Weakly-Supervised Domain Adaptation with Proportion-Constrained Pseudo-Labeling. - Takumi Okuo; Shinnosuke Matsuo; Shota Harada; Kiyohito Tanaka; Ryoma Bise (CoRR, 2025)

Enhancing Reliability of Medical Image Diagnosis through Top-rank Learning with Rejection Module. - Xiaotong Ji; Ryoma Bise; Seiichi Uchida (CoRR, 2025)

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 (CoRR, 2025)

Adaptive Pseudo Label Selection for Individual Unlabeled Data by Positive and Unlabeled Learning. - Takehiro Yamane; Itaru Tsuge; Susumu Saito; Ryoma Bise (CoRR, 2025)