Ryoma Bise - RankMe

113 papers A* 6A 7B 1Misc 4Journal 53Unranked 42

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Auxiliary Gene Learning: Spatial Gene Expression Estimation by Auxiliary Gene Selection. AAAI Kaito Shiku, Kazuya Nishimura, Shinnosuke Matsuo, Yasuhiro Kojima, Ryoma Bise
2026	J	`jnl`	Cell-Type Prototype-Informed Neural Network for Gene Expression Estimation from Pathology Images. CoRR Kazuya Nishimura, Ryoma Bise, Shinnosuke Matsuo, Haruka Hirose, Yasuhiro Kojima
2026	J	`jnl`	Hypernetwork-Based Adaptive Aggregation for Multimodal Multiple-Instance Learning in Predicting Coronary Calcium Debulking. CoRR Kaito Shiku, Ichika Seo, Tetsuya Matoba, Rissei Hino, Yasuhiro Nakano, Ryoma Bise
2026	J	`jnl`	Learning from majority label: A novel problem in multi-class multiple-instance learning. Pattern Recognit. Kaito Shiku, Shinnosuke Matsuo, Daiki Suehiro, Ryoma Bise
2026	J	`jnl`	Leveraging Label Proportion Prior for Class-Imbalanced Semi-Supervised Learning. CoRR Kohki Akiba, Shinnosuke Matsuo, Shota Harada, Ryoma Bise
2026	J	`jnl`	VesselFusion: Diffusion Models for Vessel Centerline Extraction from 3D CT Images. CoRR Soichi Mita, Shumpei Takezaki, Ryoma Bise
2025	J	`jnl`	Adaptive Pseudo Label Selection for Individual Unlabeled Data by Positive and Unlabeled Learning. CoRR Takehiro Yamane, Itaru Tsuge, Susumu Saito, Ryoma Bise
2025	J	`jnl`	Auxiliary Gene Learning: Spatial Gene Expression Estimation by Auxiliary Gene Selection. CoRR Kaito Shiku, Kazuya Nishimura, Shinnosuke Matsuo, Yasuhiro Kojima, Ryoma Bise
2025	—	`conf`	Domain Adaptation for Ulcerative Colitis Severity Estimation Using Patient-Level Diagnoses. MLMI@MICCAI Takamasa Yamaguchi, Brian Kenji Iwana, Ryoma Bise, Shota Harada, Takumi Okuo, Kiyohito Tanaka, Kaito Shiku
2025	J	`jnl`	Domain Adaptation for Ulcerative Colitis Severity Estimation Using Patient-Level Diagnoses. CoRR Takamasa Yamaguchi, Brian Kenji Iwana, Ryoma Bise, Shota Harada, Takumi Okuo, Kiyohito Tanaka, Kaito Shiku
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
2025	Misc	`conf`	Enhancing Reliability of Medical Image Diagnosis through Top-rank Learning with Rejection Module. MVA Xiaotong Ji, Ryoma Bise, Seiichi Uchida
2025	J	`jnl`	Enhancing Reliability of Medical Image Diagnosis through Top-rank Learning with Rejection Module. CoRR Xiaotong Ji, Ryoma Bise, Seiichi Uchida
2025	J	`jnl`	Guidance-base Diffusion Models for Improving Photoacoustic Image Quality. CoRR Tatsuhiro Eguchi, Shumpei Takezaki, Mihoko Shimano, Takayuki Yagi, Ryoma Bise
2025	A*	`conf`	Instance-wise Supervision-level Optimization in Active Learning. CVPR Shinnosuke Matsuo, Riku Togashi, Ryoma Bise, Seiichi Uchida, Masahiro Nomura
2025	J	`jnl`	Instance-wise Supervision-level Optimization in Active Learning. CoRR Shinnosuke Matsuo, Riku Togashi, Ryoma Bise, Seiichi Uchida, Masahiro Nomura
2025	J	`jnl`	Learning Relative Gene Expression Trends from Pathology Images in Spatial Transcriptomics. CoRR Kazuya Nishimura, Haruka Hirose, Ryoma Bise, Kaito Shiku, Yasuhiro Kojima
2025	J	`jnl`	Learning from Majority Label: A Novel Problem in Multi-class Multiple-Instance Learning. CoRR Kaito Shiku, Shinnosuke Matsuo, Daiki Suehiro, Ryoma Bise
2025	J	`jnl`	NoiseCutMix: A Novel Data Augmentation Approach by Mixing Estimated Noise in Diffusion Models. CoRR Shumpei Takezaki, Ryoma Bise, Shinnosuke Matsuo
2025	A	`conf`	Ordinal Multiple-instance Learning for Ulcerative Colitis Severity Estimation with Selective Aggregated Transformer. WACV Kaito Shiku, Kazuya Nishimura, Daiki Suehiro, Kiyohito Tanaka, Ryoma Bise
2025	—	`conf`	Towards Spatial Transcriptomics-Guided Pathological Image Recognition with Batch-Agnostic Encoder. ISBI Kazuya Nishimura, Ryoma Bise, Yasuhiro Kojima
2025	J	`jnl`	Towards Spatial Transcriptomics-guided Pathological Image Recognition with Batch-Agnostic Encoder. CoRR Kazuya Nishimura, Ryoma Bise, Yasuhiro Kojima
2025	—	`conf`	Vascular Photoacoustic Volume Registration via 2D Feature Matching with Reverse Mapping Based on Maximum Intensity Projection. MICCAI (16) Junda Liao, Chu Zhou, Yuta Asano, Yushi Suzuki, Ryoma Bise, Nobuaki Imanishi, Kazuo Kishi, Sadakazu Aiso, Imari Sato
2025	B	`conf`	Weakly-Supervised Domain Adaptation with Proportion-Constrained Pseudo-Labeling. IJCNN Takumi Okuo, Shinnosuke Matsuo, Shota Harada, Kiyohito Tanaka, Ryoma Bise
2025	J	`jnl`	Weakly-Supervised Domain Adaptation with Proportion-Constrained Pseudo-Labeling. CoRR Takumi Okuo, Shinnosuke Matsuo, Shota Harada, Kiyohito Tanaka, Ryoma Bise
2024	J	`jnl`	A data augmentation approach that ensures the reliability of foregrounds in medical image segmentation. Image Vis. Comput. Xiaoqing Liu, Kenji Ono, Ryoma Bise
2024	J	`jnl`	Cell Tracking in C. elegans with Cell Position Heatmap-Based Alignment and Pairwise Detection. CoRR Kaito Shiku, Hiromitsu Shirai, Takeshi Ishihara, Ryoma Bise
2024	Misc	`conf`	Counting Network for Learning from Majority Label. ICASSP Kaito Shiku, Shinnosuke Matsuo, Daiki Suehiro, Ryoma Bise
2024	J	`jnl`	Counting Network for Learning from Majority Label. CoRR Kaito Shiku, Shinnosuke Matsuo, Daiki Suehiro, Ryoma Bise
2024	J	`jnl`	Deep Bayesian Active Learning-to-Rank with Relative Annotation for Estimation of Ulcerative Colitis Severity. CoRR Takeaki Kadota, Hideaki Hayashi, Ryoma Bise, Kiyohito Tanaka, Seiichi Uchida
2024	J	`jnl`	Deep Bayesian active learning-to-rank with relative annotation for estimation of ulcerative colitis severity. Medical Image Anal. Takeaki Kadota, Hideaki Hayashi, Ryoma Bise, Kiyohito Tanaka, Seiichi Uchida
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	A	`conf`	Guidance-base Diffusion Models for Improving Photoacoustic Image Quality. BMVC Tatsuhiro Eguchi, Shumpei Takezaki, Mihoko Shimano, Takayuki Yagi, 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`	Ordinal Multiple-instance Learning for Ulcerative Colitis Severity Estimation with Selective Aggregated Transformer. CoRR Kaito Shiku, Kazuya Nishimura, Daiki Suehiro, Kiyohito Tanaka, 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`	Cell Tracking in C. elegans with Cell Position Heatmap-Based Alignment and Pairwise Detection. EMBC Kaito Shiku, Hiromitsu Shirai, Takeshi Ishihara, 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	J	`jnl`	Effective Pseudo-Labeling based on Heatmap for Unsupervised Domain Adaptation in Cell Detection. CoRR Hyeonwoo Cho, Kazuya Nishimura, Kazuhide Watanabe, Ryoma Bise
2023	Misc	`conf`	Learning From Label Proportion with Online Pseudo-Label Decision by Regret Minimization. ICASSP Shinnosuke Matsuo, Ryoma Bise, Seiichi Uchida, Daiki Suehiro
2023	J	`jnl`	Learning from Label Proportion with Online Pseudo-Label Decision by Regret Minimization. CoRR Shinnosuke Matsuo, Ryoma Bise, Seiichi Uchida, Daiki Suehiro
2023	—	`conf`	Mitosis Detection from Partial Annotation by Dataset Generation via Frame-Order Flipping. MICCAI (8) Kazuya Nishimura, Ami Katanaya, Shinichiro Chuma, Ryoma Bise
2023	J	`jnl`	Mitosis Detection from Partial Annotation by Dataset Generation via Frame-Order Flipping. CoRR Kazuya Nishimura, Ami Katanaya, Shinichiro Chuma, Ryoma Bise
2023	A*	`conf`	MixBag: Bag-Level Data Augmentation for Learning from Label Proportions. ICCV Takanori Asanomi, Shinnosuke Matsuo, Daiki Suehiro, Ryoma Bise
2023	J	`jnl`	MixBag: Bag-Level Data Augmentation for Learning from Label Proportions. CoRR Takanori Asanomi, Shinnosuke Matsuo, Daiki Suehiro, Ryoma Bise
2023	—	`conf`	Mixing Data Augmentation with Preserving Foreground Regions in Medical Image Segmentation. ISBI Xiaoqing Liu, Kenji Ono, Ryoma Bise
2023	J	`jnl`	Mixing Data Augmentation with Preserving Foreground Regions in Medical Image Segmentation. CoRR Xiaoqing Liu, Kenji Ono, Ryoma Bise
2023	A	`conf`	Multi-Frame Attention with Feature-Level Warping for Drone Crowd Tracking. WACV Takanori Asanomi, Kazuya Nishimura, Ryoma Bise
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
2023	A	`conf`	Weakly Supervised Cell-Instance Segmentation with Two Types of Weak Labels by Single Instance Pasting. WACV Kazuya Nishimura, Ryoma Bise
2022	J	`jnl`	Automatic Estimation of Ulcerative Colitis Severity by Learning to Rank With Calibration. IEEE Access Takeaki Kadota, Kentaro Abe, Ryoma Bise, Takuji Kawamura, Naokuni Sakiyama, Kiyohito Tanaka, Seiichi Uchida
2022	A	`conf`	Consistent Cell Tracking in Multi-frames with Spatio-Temporal Context by Object-Level Warping Loss. WACV Junya Hayashida, Kazuya Nishimura, Ryoma Bise
2022	—	`conf`	Deep Bayesian Active-Learning-to-Rank for Endoscopic Image Data. MIUA Takeaki Kadota, Hideaki Hayashi, Ryoma Bise, Kiyohito Tanaka, Seiichi Uchida
2022	J	`jnl`	Deep Bayesian Active-Learning-to-Rank for Endoscopic Image Data. CoRR Takeaki Kadota, Hideaki Hayashi, Ryoma Bise, Kiyohito Tanaka, Seiichi Uchida
2022	J	`jnl`	Effective pseudo-labeling based on heatmap for unsupervised domain adaptation in cell detection. Medical Image Anal. Hyeonwoo Cho, Kazuya Nishimura, Kazuhide Watanabe, Ryoma Bise
2022	J	`jnl`	Estimation of Wetness and Color from a Single Multispectral Image. IEEE Trans. Pattern Anal. Mach. Intell. Hiroki Okawa, Mihoko Shimano, Yuta Asano, Ryoma Bise, Ko Nishino, Imari Sato
2022	—	`conf`	Multi-Class Cell Detection Using Modified Self-Attention. CVPR Workshops Tatsuhiko Sugimoto, Hiroaki Ito, Yuki Teramoto, Akihiko Yoshizawa, Ryoma Bise
2022	—	`conf`	Unsupervised Deep Non-rigid Alignment by Low-Rank Loss and Multi-input Attention. MICCAI (6) Takanori Asanomi, Kazuya Nishimura, Heon Song, Junya Hayashida, Hiroyuki Sekiguchi, Takayuki Yagi, Imari Sato, Ryoma Bise
2021	—	`conf`	Cell Detection from Imperfect Annotation by Pseudo Label Selection Using P-classification. MICCAI (8) Kazuma Fujii, Daiki Suehiro, Kazuya Nishimura, Ryoma Bise
2021	J	`jnl`	Cell Detection from Imperfect Annotation by Pseudo Label Selection Using P-classification. CoRR Kazuma Fujii, Daiki Suehiro, Kazuya Nishimura, Ryoma Bise
2021	—	`conf`	Cell Detection in Domain Shift Problem Using Pseudo-Cell-Position Heatmap. MICCAI (8) Hyeonwoo Cho, Kazuya Nishimura, Kazuhide Watanabe, Ryoma Bise
2021	J	`jnl`	Cell Detection in Domain Shift Problem Using Pseudo-Cell-Position Heatmap. CoRR Hyeonwoo Cho, Kazuya Nishimura, Kazuhide Watanabe, Ryoma Bise
2021	—	`conf`	Order-Guided Disentangled Representation Learning for Ulcerative Colitis Classification with Limited Labels. MICCAI (2) Shota Harada, Ryoma Bise, Hideaki Hayashi, Kiyohito Tanaka, Seiichi Uchida
2021	J	`jnl`	Order-Guided Disentangled Representation Learning for Ulcerative Colitis Classification with Limited Labels. CoRR Shota Harada, Ryoma Bise, Hideaki Hayashi, Kiyohito Tanaka, Seiichi Uchida
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
2021	—	`conf`	Semi-supervised Cell Detection in Time-Lapse Images Using Temporal Consistency. MICCAI (8) Kazuya Nishimura, Hyeonwoo Cho, Ryoma Bise
2021	J	`jnl`	Semi-supervised Cell Detection in Time-lapse Images Using Temporal Consistency. CoRR Kazuya Nishimura, Hyeonwoo Cho, Ryoma Bise
2021	J	`jnl`	Soft and self constrained clustering for group-based labeling. Medical Image Anal. Shota Harada, Ryoma Bise, Hideaki Hayashi, Kiyohito Tanaka, Seiichi Uchida
2021	—	`conf`	Unsupervised Body Hair Detection by Positive-Unlabeled Learning in Photoacoustic Image. EMBC Ryo Kikkawa, Hiroki Kajita, Nobuaki Imanishi, Sadakazu Aiso, Ryoma Bise
2021	J	`jnl`	Weakly supervised cell instance segmentation under various conditions. Medical Image Anal. Kazuya Nishimura, Chenyang Wang, Kazuhide Watanabe, Dai Fei Elmer Ker, Ryoma Bise
2020	—	`conf`	Imaging Scattering Characteristics of Tissue in Transmitted Microscopy. MICCAI (5) Mihoko Shimano, Yuta Asano, Shin Ishihara, Ryoma Bise, Imari Sato
2020	A*	`conf`	MPM: Joint Representation of Motion and Position Map for Cell Tracking. CVPR Junya Hayashida, Kazuya Nishimura, Ryoma Bise
2020	J	`jnl`	MPM: Joint Representation of Motion and Position Map for Cell Tracking. CoRR Junya Hayashida, Kazuya Nishimura, 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
2020	—	`conf`	Spatial-Temporal Mitosis Detection in Phase-Contrast Microscopy via Likelihood Map Estimation by 3DCNN. EMBC Kazuya Nishimura, Ryoma Bise
2020	J	`jnl`	Spatial-Temporal Mitosis Detection in Phase-Contrast Microscopy via Likelihood Map Estimation by 3DCNN. CoRR Kazuya Nishimura, Ryoma Bise
2020	—	`conf`	Weakly-Supervised Cell Tracking via Backward-and-Forward Propagation. ECCV (12) Kazuya Nishimura, Junya Hayashida, Chenyang Wang, Dai Fei Elmer Ker, Ryoma Bise
2020	J	`jnl`	Weakly-Supervised Cell Tracking via Backward-and-Forward Propagation. CoRR Kazuya Nishimura, Junya Hayashida, Chenyang Wang, Dai Fei Elmer Ker, 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	—	`conf`	Cell Tracking with Deep Learning for Cell Detection and Motion Estimation in Low-Frame-Rate. MICCAI (1) Junya Hayashida, Ryoma Bise
2019	—	`conf`	Efficient Soft-Constrained Clustering for Group-Based Labeling. MICCAI (5) Ryoma Bise, Kentaro Abe, Hideaki Hayashi, Kiyohito Tanaka, Seiichi Uchida
2019	—	`conf`	Endoscopic Image Clustering with Temporal Ordering Information Based on Dynamic Programming. EMBC Shota Harada, Hideaki Hayashi, Ryoma Bise, Kiyohito Tanaka, Qier Meng, Seiichi Uchida
2019	—	`conf`	Scribbles for Metric Learning in Histological Image Segmentation. EMBC Daisuke Harada, Ryoma Bise, Hiroki Tokunaga, Wataru Ohyama, Sanae Oka, Toshihiko Fujimori, Seiichi Uchida
2019	—	`conf`	Semi-Supervised Learning With Structured Knowledge For Body Hair Detection In Photoacoustic Image. ISBI Ryo Kikkawa, Hiroyuki Sekiguchi, Itaru Tsuge, Susumu Saito, Ryoma Bise
2019	—	`conf`	Weakly Supervised Cell Instance Segmentation by Propagating from Detection Response. MICCAI (1) Kazuya Nishimura, Dai Fei Elmer Ker, Ryoma Bise
2019	J	`jnl`	Weakly Supervised Cell Instance Segmentation by Propagating from Detection Response. CoRR Kazuya Nishimura, Dai Fei Elmer Ker, Ryoma Bise
2017	—	`conf`	Semi-supervised Learning for Biomedical Image Segmentation via Forest Oriented Super Pixels(Voxels). MICCAI (1) Lin Gu, Yinqiang Zheng, Ryoma Bise, Imari Sato, Nobuaki Imanishi, Sadakazu Aiso
2017	—	`conf`	Separation of Transmitted Light and Scattering Components in Transmitted Microscopy. MICCAI (2) Mihoko Shimano, Ryoma Bise, Yinqiang Zheng, Imari Sato
2017	—	`conf`	Virtual Blood Vessels in Complex Background Using Stereo X-Ray Images. ICCV Workshops Qiuyu Chen, Ryoma Bise, Lin Gu, Yinqiang Zheng, Imari Sato, Jenq-Neng Hwang, Sadakazu Aiso, Nobuaki Imanishi
2017	J	`jnl`	Virtual Blood Vessels in Complex Background using Stereo X-ray Images. CoRR Qiuyu Chen, Ryoma Bise, Lin Gu, Yinqiang Zheng, Imari Sato, Jenq-Neng Hwang, Nobuaki Imanishi, Sadakazu Aiso
2017	A*	`conf`	Wetness and Color from a Single Multispectral Image. CVPR Mihoko Shimano, Hiroki Okawa, Yuta Asano, Ryoma Bise, Ko Nishino, Imari Sato
2016	—	`conf`	3D Structure Modeling of Dense Capillaries by Multi-objects Tracking. CVPR Workshops Ryoma Bise, Imari Sato, Kentaro Kajiya, Toyonobu Yamashita
2016	—	`conf`	Vascular Registration in Photoacoustic Imaging by Low-Rank Alignment via Foreground, Background and Complement Decomposition. MICCAI (3) Ryoma Bise, Yingqiang Zheng, Imari Sato, Masakazu Toi
2015	J	`jnl`	Cell Detection From Redundant Candidate Regions Under Nonoverlapping Constraints. IEEE Trans. Medical Imaging Ryoma Bise, Yoichi Sato
2011	J	`jnl`	Automated Mitosis Detection of Stem Cell Populations in Phase-Contrast Microscopy Images. IEEE Trans. Medical Imaging Seungil Huh, Dai Fei Elmer Ker, Ryoma Bise, Mei Chen, Takeo Kanade
2011	—	`conf`	Automatic cell tracking applied to analysis of cell migration in wound healing assay. EMBC Ryoma Bise, Takeo Kanade, Zhaozheng Yin, Seungil Huh
2011	A	`conf`	Cell image analysis: Algorithms, system and applications. WACV Takeo Kanade, Zhaozheng Yin, Ryoma Bise, Seungil Huh, Sungeun Eom, Michael F. Sandbothe, Mei Chen
2011	—	`conf`	Mitosis detection for stem cell tracking in phase-contrast microscopy images. ISBI Seungil Huh, Sungeun Eom, Ryoma Bise, Zhaozheng Yin, Takeo Kanade
2011	—	`conf`	Reliable cell tracking by global data association. ISBI Ryoma Bise, Zhaozheng Yin, Takeo Kanade
2010	—	`conf`	Cell segmentation in microscopy imagery using a bag of local Bayesian classifiers. ISBI Zhaozheng Yin, Ryoma Bise, Mei Chen, Takeo Kanade
2010	—	`conf`	Detection of hematopoietic stem cells in microscopy images using a bank of ring filters. ISBI Sungeun Eom, Ryoma Bise, Takeo Kanade