Ryoma Bise

According to our database, Ryoma Bise authored at least 60 papers between 2010 and 2024.

Collaborative distances:

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

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

A data augmentation approach that ensures the reliability of foregrounds in medical image segmentation.

Xiaoqing Liu, Kenji Ono, Ryoma Bise

Image Vis. Comput., 2024

Ordinal Multiple-instance Learning for Ulcerative Colitis Severity Estimation with Selective Aggregated Transformer.

Kaito Shiku, Kazuya Nishimura, Daiki Suehiro, Kiyohito Tanaka, Ryoma Bise

CoRR, 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 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

Counting Network for Learning from Majority Label.

Kaito Shiku, Shinnosuke Matsuo, Daiki Suehiro, Ryoma Bise

Proceedings of the IEEE International Conference on Acoustics, 2024

Diameter-based pseudo labeling for pathological image segmentation.

Yuki Shigeyasu, Shota Harada, Akihiko Yoshizawa, Kazuhiro Terada, Ryoma Bise

Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 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

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023

Weakly Supervised Cell-Instance Segmentation with Two Types of Weak Labels by Single Instance Pasting.

Kazuya Nishimura, Ryoma Bise

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Multi-Frame Attention with Feature-Level Warping for Drone Crowd Tracking.

Takanori Asanomi, Kazuya Nishimura, Ryoma Bise

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Proportion Estimation by Masked Learning from Label Proportion.

Takumi Okuo, Kazuya Nishimura, Hiroaki Ito, Kazuhiro Terada, Akihiko Yoshizawa, Ryoma Bise

Proceedings of the Data Augmentation, Labelling, and Imperfections - Third MICCAI Workshop, 2023

Mitosis Detection from Partial Annotation by Dataset Generation via Frame-Order Flipping.

Kazuya Nishimura, Ami Katanaya, Shinichiro Chuma, Ryoma Bise

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Spatial Distribution-Based Pseudo Labeling for Pathological Image Segmentation.

Yuki Shigeyasu, Kengo Araki, Shota Harada, Akihiko Yoshizawa, Kazuhiro Terada, Ryoma Bise

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

Mixing Data Augmentation with Preserving Foreground Regions in Medical Image Segmentation.

Xiaoqing Liu, Kenji Ono, Ryoma Bise

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

MixBag: Bag-Level Data Augmentation for Learning from Label Proportions.

Takanori Asanomi, Shinnosuke Matsuo, Daiki Suehiro, Ryoma Bise

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Learning From Label Proportion with Online Pseudo-Label Decision by Regret Minimization.

Shinnosuke Matsuo, Ryoma Bise, Seiichi Uchida, Daiki Suehiro

Proceedings of the IEEE International Conference on Acoustics, 2023

Cell Tracking in C. elegans with Cell Position Heatmap-Based Alignment and Pairwise Detection.

Kaito Shiku, Hiromitsu Shirai, Takeshi Ishihara, Ryoma Bise

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

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

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

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

Consistent Cell Tracking in Multi-frames with Spatio-Temporal Context by Object-Level Warping Loss.

Junya Hayashida, Kazuya Nishimura, Ryoma Bise

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Deep Bayesian Active-Learning-to-Rank for Endoscopic Image Data.

Takeaki Kadota, Hideaki Hayashi, Ryoma Bise, Kiyohito Tanaka, Seiichi Uchida

Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Multi-Class Cell Detection Using Modified Self-Attention.

Tatsuhiko Sugimoto, Hiroaki Ito, Yuki Teramoto, Akihiko Yoshizawa, Ryoma Bise

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

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

Soft and self constrained clustering for group-based labeling.

Shota Harada, Ryoma Bise, Hideaki Hayashi, Kiyohito Tanaka, Seiichi Uchida

Medical Image Anal., 2021

Semi-supervised Cell Detection in Time-Lapse Images Using Temporal Consistency.

Kazuya Nishimura, Hyeonwoo Cho, Ryoma Bise

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Order-Guided Disentangled Representation Learning for Ulcerative Colitis Classification with Limited Labels.

Shota Harada, Ryoma Bise, Hideaki Hayashi, Kiyohito Tanaka, Seiichi Uchida

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Cell Detection from Imperfect Annotation by Pseudo Label Selection Using P-classification.

Kazuma Fujii, Daiki Suehiro, Kazuya Nishimura, Ryoma Bise

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Cell Detection in Domain Shift Problem Using Pseudo-Cell-Position Heatmap.

Hyeonwoo Cho, Kazuya Nishimura, Kazuhide Watanabe, Ryoma Bise

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Unsupervised Body Hair Detection by Positive-Unlabeled Learning in Photoacoustic Image.

Ryo Kikkawa, Hiroki Kajita, Nobuaki Imanishi, Sadakazu Aiso, Ryoma Bise

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Patch-Based Cervical Cancer Segmentation using Distance from Boundary of Tissue.

Kengo Araki, Mariyo Rokutan-Kurata, Kazuhiro Terada, Akihiko Yoshizawa, Ryoma Bise

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

Imaging Scattering Characteristics of Tissue in Transmitted Microscopy.

Mihoko Shimano, Yuta Asano, Shin Ishihara, Ryoma Bise, Imari Sato

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Spatial-Temporal Mitosis Detection in Phase-Contrast Microscopy via Likelihood Map Estimation by 3DCNN.

Kazuya Nishimura, Ryoma Bise

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Negative Pseudo Labeling Using Class Proportion for Semantic Segmentation in Pathology.

Hiroki Tokunaga, Brian Kenji Iwana, Yuki Teramoto, Akihiko Yoshizawa, Ryoma Bise

Proceedings of the Computer Vision - ECCV 2020, 2020

Weakly-Supervised Cell Tracking via Backward-and-Forward Propagation.

Kazuya Nishimura, Junya Hayashida, Chenyang Wang, Dai Fei Elmer Ker, Ryoma Bise

Proceedings of the Computer Vision - ECCV 2020, 2020

MPM: Joint Representation of Motion and Position Map for Cell Tracking.

Junya Hayashida, Kazuya Nishimura, Ryoma Bise

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Weakly Supervised Cell Instance Segmentation by Propagating from Detection Response.

Kazuya Nishimura, Dai Fei Elmer Ker, Ryoma Bise

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Cell Tracking with Deep Learning for Cell Detection and Motion Estimation in Low-Frame-Rate.

Junya Hayashida, Ryoma Bise

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Efficient Soft-Constrained Clustering for Group-Based Labeling.

Ryoma Bise, Kentaro Abe, Hideaki Hayashi, Kiyohito Tanaka, Seiichi Uchida

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Semi-Supervised Learning With Structured Knowledge For Body Hair Detection In Photoacoustic Image.

Ryo Kikkawa, Hiroyuki Sekiguchi, Itaru Tsuge, Susumu Saito, Ryoma Bise

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Endoscopic Image Clustering with Temporal Ordering Information Based on Dynamic Programming.

Shota Harada, Hideaki Hayashi, Ryoma Bise, Kiyohito Tanaka, Qier Meng, Seiichi Uchida

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Scribbles for Metric Learning in Histological Image Segmentation.

Daisuke Harada, Ryoma Bise, Hiroki Tokunaga, Wataru Ohyama, Sanae Oka, Toshihiko Fujimori, Seiichi Uchida

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Adaptive Weighting Multi-Field-Of-View CNN for Semantic Segmentation in Pathology.

Hiroki Tokunaga, Yuki Teramoto, Akihiko Yoshizawa, Ryoma Bise

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2017

Separation of Transmitted Light and Scattering Components in Transmitted Microscopy.

Mihoko Shimano, Ryoma Bise, Yinqiang Zheng, Imari Sato

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Virtual Blood Vessels in Complex Background Using Stereo X-Ray Images.

Qiuyu Chen, Ryoma Bise, Lin Gu, Yinqiang Zheng, Imari Sato, Jenq-Neng Hwang, Sadakazu Aiso, Nobuaki Imanishi

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Wetness and Color from a Single Multispectral Image.

Mihoko Shimano, Hiroki Okawa, Yuta Asano, Ryoma Bise, Ko Nishino, Imari Sato

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Vascular Registration in Photoacoustic Imaging by Low-Rank Alignment via Foreground, Background and Complement Decomposition.

Ryoma Bise, Yingqiang Zheng, Imari Sato, Masakazu Toi

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

3D Structure Modeling of Dense Capillaries by Multi-objects Tracking.

Ryoma Bise, Imari Sato, Kentaro Kajiya, Toyonobu Yamashita

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

2015

Cell Detection From Redundant Candidate Regions Under Nonoverlapping Constraints.

Ryoma Bise, Yoichi Sato

IEEE Trans. Medical Imaging, 2015

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 image analysis: Algorithms, system and applications.

Takeo Kanade, Zhaozheng Yin, Ryoma Bise, Seungil Huh, Sungeun Eom, Michael F. Sandbothe, Mei Chen

Proceedings of the IEEE Workshop on Applications of Computer Vision (WACV 2011), 2011

Mitosis detection for stem cell tracking in phase-contrast microscopy images.

Seungil Huh, Sungeun Eom, Ryoma Bise, Zhaozheng Yin, Takeo Kanade

Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Reliable cell tracking by global data association.

Ryoma Bise, Zhaozheng Yin, Takeo Kanade

Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Automatic cell tracking applied to analysis of cell migration in wound healing assay.

Ryoma Bise, Takeo Kanade, Zhaozheng Yin, Seungil Huh

Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2010

Cell segmentation in microscopy imagery using a bag of local Bayesian classifiers.

Zhaozheng Yin, Ryoma Bise, Mei Chen, Takeo Kanade

Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

Detection of hematopoietic stem cells in microscopy images using a bank of ring filters.

Sungeun Eom, Ryoma Bise, Takeo Kanade

Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010