Publication List(Ryoma Bise)
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Takanori Asanomi, Shinnosuke Matsuo, Daiki Suehiro and Ryoma Bise
MixBag: Bag-Level Data Augmentation for Learning from Label Proportions
International Conference on Computer Vision (ICCV),2023,(top conference in computer vision)
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Kazuya Nishimura, Ami Katanaya, Shinichiro Chuma, and Ryoma Bise
Mitosis Detection from Partial Annotation by Dataset Generation via Frame-Order Flipping
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI2023),
2023,(top conference in medial image analysis)
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Shinnosuke Matsuo, Ryoma Bise, Seiichi Uchida, and Daiki Suehiro
Learning From Label Proportion with Online Pseudo-Label Decision by Regret Minimization
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP2023),2023
(top conference in signal processing)
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Yuki Shigeyasu, Shota Harada, Kengo Araki, Akihiko Yoshizawa, Kazuhiro Terada, and Ryoma Bise
Spatial Distribution-based Pseudo Labeling for Pathological Image Segmentation
IEEE International Symposium on Biomedical Imaging (ISBI), 2023.
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Xiaoqing Liu, Kengo Araki, Shota Harada, Akihiko Yoshizawa, Kazuhiro Terada, Mariyo Kurata, Naoki Nakajima, Hiroyuki Abe, Tetsuo Ushiku, and Ryoma Bise
Cluster Entropy: Active Domain Adaptation in Pathological Image Segmentation
IEEE International Symposium on Biomedical Imaging (ISBI), 2023. (Oral)
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Shota Harada, Ryoma Bise, Kengo Araki, Akihiko Yoshizawa, Kazuhiro Terada, Mariyo Kurata, Naoki Nakajima, Hiroyuki Abe, Tetsuo Ushiku, and Seiichi Uchida
Cluster-Guided Semi-Supervised Domain Adaptation for Imbalanced Medical Image Classification
IEEE International Symposium on Biomedical Imaging (ISBI), 2023.
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Xiaoqing Liu, Kenji Ono, and Ryoma Bise
Mixing Data Augmentation with Preserving Foreground Regions in Medical Image Segmentation
IEEE International Symposium on Biomedical Imaging (ISBI), 2023. (Oral)
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Takanori Asanomi, Kazuya Nishimura, and Ryoma Bise
Multi-Frame Attention with Feature-Level Warping for Drone Crowd Tracking
Winter Conference on Applications of Computer Vision 2023 (WACV2023),2023. (accepted)
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Kazuya Nishimura, and Ryoma Bise
Weakly Supervised Cell-Instance Segmentation with Two Types of Weak Labels by Single Instance Pasting
Winter Conference on Applications of Computer Vision 2023 (WACV2023),2023. (accepted)
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Kazuki Miyama, Ryoma Bise, Satoshi Ikemura, Kazuhiro Kai, Masaya Kanahori, Shinkichi Arisumi, Taisuke Uchida, Yasuharu Nakashima, and Seiichi Uchida
Deep learning-based automatic-bone-destruction-evaluation system using contextual information from other joints
Arthritis Research & Therapy, 2022. (IF:5.606)
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T Asanomi, K Nishimura, H Song, J Hayashida, H Sekiguchi, T Yagi, I Sato, and R Bise
Unsupervised Deep Robust Non-Rigid Alignment by Low-Rank Loss and Multi-Input Attention
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI2022),
2022,(top conference in medial image analysis)
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T Sugimoto, H Ito, Y Teramoto, A Yoshizawa and R Bise
Multi-Class Cell Detection Using Modified Self-Attention
CVPR Workshop, Computer Vision for Microscopy Image Analysis (CVMI), 2022
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Hyeonwoo Cho, Kazuya Nishimura, Kazuhide Watanabe, and Ryoma Bise
Effective pseudo-labeling based on heatmap for unsupervised domain adaptation in cell detection
Medical Image Analysis, vol.79, 102436, https://doi.org/10.1016/j.media.2022.102436, 2022
(top journal in medicalImage analysis, IF:13.828)
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J Hayashida, K Nishimura, R Bise
Consistent Cell Tracking in Multi-Frames With Spatio-Temporal Context by Object-Level Warping Loss
IEEE/CVF Winter Conference on Applications of Computer Vision, pp.1727-1736, 2022
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K Nishimura, C Wang, K Watanabe, R Bise
Weakly Supervised Cell Instance Segmentation Under Various Conditions
Medical Image Analysis, vol.73, 102182, https://doi.org/10.1016/j.media.2021.102182, 2021, October
(top journal in medicalImage analysis, IF:11.148)
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K Araki, M Rokutan-Kurata, K Terada, A Yoshizawa, R Bise
Patch-Based Cervical Cancer Segmentation using Distance from Boundary of Tissue
International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021
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R Kikkawa, H Kajita, N Imanishi, S Aiso, R Bise
Unsupervised Body Hair Detection by Positive-Unlabeled Learning in Photoacoustic Image
International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021
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Kazuya Nishimura, Hyeonwoo Cho, and Ryoma Bise
Semi-supervised Cell Detection in Time-lapse Images Using Temporal Consistency
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI2021),
2021, (accepted, top conference in medial image analysis)
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Kazuma Fujii, Daiki Suehiro, Kazuya Nishimura, and Ryoma Bise
Cell Detection from Imperfect Annotation by Pseudo Label Selection Using P-classification
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI2021),
2021, (accepted, top conference in medial image analysis)
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Shota Harada, Ryoma Bise, Hideaki Hayashi, Kiyohito Tanaka and Seiichi Uchida
Order-Guided Disentangled Representation Learning for Ulcerative Colitis Classification with Limited Labels
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI2021),
2021, (accepted, top conference in medial image analysis)
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Hyeonwoo Cho, Kazuya Nishimura, Kazuhide Watanabe, and Ryoma Bise
Cell Detection in Domain Shift Problem Using Pseudo-Cell-Position Heatmap
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI2021),
2021, (accepted, top conference in medial image analysis, Provisional acceptance rate:13%)
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Shota Harada, Ryoma Bise, Hideaki Hayashi, Kiyohito Tanaka, and Seiichi Uchida
Soft and Self Constrained Clustering for Group-Based Labeling
Medical Image Analysis, https://doi.org/10.1016/j.media.2021.102097, 2021, May
(in press, top journal in medicalImage analysis, IF:11.148)
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Akiko Kondow, Kiyoshi Ohnuma, Yasuhiro Kamei, Atsushi Taniguchi, Ryoma Bise, Yoichi Sato, Hisateru Yamaguchi, Shigenori Nonaka, and Keiichiro Hashimoto
Light‐sheet microscopy‐based 3D single‐cell tracking reveals a correlation between cell cycle and the start of endoderm cell internalization in early zebrafish development
Development, Growth and Differentiation, vol.62(7), pp.495--502, https://doi.org/10.1111/dgd.12695, 2020, November, (IF:1.723)
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K. Nishimura, J. Hayashida, C. Wang, D.F.E. Ker, and R. Bise
Weakly-Supervised Cell Tracking via Backward-and-Forward Propagation
16th European Conference on Computer Vision (ECCV2020)
2020, (accepted, Top Conference in Computer Vision, acceptance rate:27%)
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H. Tokunaga, B.K. Iwana, Y. Teramoto, A. Yoshizawa, and R. Bise
Negative Pseudo Labeling using Class Proportion for Semantic Segmentation in Pathology
16th European Conference on Computer Vision (ECCV2020)
2020, (accepted, Top Conference in Computer Vision, acceptance rate:27%)
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M. Shimano, Y. Asano, S. Ishihara, R. Bise, and I. Sato
Imaging Scattering Characteristics of Tissue in Transmitted Microscopy
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI2020),
2020, (accepted, top conference in medial image analysis)
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K. Nishimura and R. Bise
Spatial-Temporal Mitosis Detection in Phase-Contrast Microscopy Via Likelihood Map Estimation by 3DCNN
Proceedings of 42st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2020.
[pdf]
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J. Hayashida, K. Nishimura and R. Bise
MPM: Joint Representation of Motion and Position Map for Cell Tracking
IEEE CVPR, 2020. (oral, Top Conference in Computer Vision, acceptance rate:22%)
[pdf]
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R. Bise, K. Abe, H. Hayashi, K. Tanaka, and S. Uchida
Efficient Soft-Constrained Clustering for Group-Based Labeling
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI2019),
2019, (top conference in medial image analysis, acceptance rate:31%)
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K. Nishimura, E.D. Ker, and R. Bise
Weakly Supervised Cell Segmentation in Dense by Propagating from Detection Map
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI2019),
2019, (top conference in medial image analysis, early acceptance rate:16%)
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J. Hayashida, and R. Bise
Cell Tracking with Deep Learning for Cell Detection and Motion Estimation in Low-Frame-Rate
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI2019),
2019,(top conference in medial image analysis, early acceptance rate:16%)
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S. Harada, H. Hayashi, R. Bise, K. Tanaka, Q. Meng, and S. Uchida
Endoscopic Image Clustering with Temporal Ordering Information Based on Dynamic Programming
Proceedings of 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019.
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D. Harada, R. Bise, H. Tokunaga, W. Ohyama, S. Oka, T. Fujimori, and S. Uchida
Scribbles for Metric Learning
Proceedings of 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019.
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H. Tokunaga, Y. Teramoto, A. Yoshizawa, R. Bise
Adaptive Weighting Multi-Field-of-View CNN for Semantic Segmentation in Pathology
IEEE CVPR, 2019. (Top Conference in Computer Vision, Poster, acceptance rate:25%)
pdf
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R. Kikkawa, H. Sekiguchi, I. Tsuge, S. Saito and R. Bise
SEMI-SUPERVISED LEARNING WITH STRUCTURED KNOWLEDGE FOR BODY HAIR DETECTION IN PHOTOACOUSTIC IMAGE
IEEE International Symposium on Biomedical Imaging (ISBI), 2019. (Oral)
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H Okawa, M Shimano, Y Asano, R Bise, K Nishino, I Sato
Estimation of Wetness and Color From A Single Multispectral Image
IEEE transactions on pattern analysis and machine intelligence, 10.1109/TPAMI.2019.2903496, 2019. (IF:9.455)
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S. Saito, R. Bise, et. al.
Digital artery deformation on movement of the proximal interphalangeal joint
Journal of Hand Surgery(European Volume), doi:1753193418807833, 2019. (IF:2.648)
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E. Ker, S. Eom, S. Sanami, R. Bise, et. al.
Phase Contrast Time-Lapse Microscopy Datasets with Automated and Manual Cell Tracking Annotations
Scientific Data, doi: 10.1038/sdata.2018.237, 2019. (IF:5.305)
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K. Kajiya, R. Bise, et. al.
Light-sheet microscopy reveals site-specific 3-dimensional patterns of the cutaneous vasculature and pronounced rarefication in aged skin
Journal of Dermatological Science, 92(1), pp.3-5, 2018. (IF: 3.675)
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Q. Chen, R. Bise, L. Gu, Y. Zheng, I. Sato, J.N. Hwang, N. Imanishi, and S. Aiso
Virtual Blood Vessels in Complex Background using Stereo X-ray Images
ICCV Workshop, BioImage Computing, 2017
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L. Gu, Y. Zheng, R. Bise, I. Sato, N. Imanishi, and S. Aiso
Semi-Supervised Learning for Biomedical Image Segmentation via Forest Oriented Super Pixels(Voxels)
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI),
pp.702-710, 2017,(top conference in medial image analysis, acceptance rate:33%)
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M. Shimano, R. Bise, Y. Zheng, and I. Sato
Separation of Transmitted Light and Scattering Components in Transmitted Microscopy
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI2016),
pp.702-710, 2017,(top conference in medial image analysis, acceptance rate:33%)
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M. Shimano, H. Okawa, Y. Asano, R. Bise, K. Nishino, and I. Sato,
Wetness and Color from a Single Multispectral Image
IEEE Conference on Computer Vision and Pattern Recognition(CVPR),
pp.3967-3975, 2017,(top conference in computer vision,oral, acceptance rate: 2.5%).
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R. Bise, Y. Zheng, I. Sato, and M. Toi
Vascular registration in Photoacoustic imaging by low-rank alignment via forground, background, and complement decomposition
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI2016),
pp.362-334,2016, (top conference in medial image analysis, early acceptance < 11%)
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R. Bise, I. Sato, K. Kajiya, and T. Yamashita
3D structure modeling of dense capillaries by multi-objects tracking
Proceedings of IEEE CVPR2016 Workshop: Computer Vision for Microscopy Analysis(CVMIA)
pp.265-270, July. 2016
- N. Yasuda, H. Sekine, R. Bise, T. Okano, and T. Shimizu
Tracing behavior of endothelial cells promotes vascular network formation
Microvascular Research
105, pp.125-131, 2016. (Impact Factor(IF):2.300)
- R. Bise and Y. Sato
Cell Detection Method from Redundant Candidates under the Non-Overlapping Constraints
IEEE Trans. on Medical Imaging, 34(7), pp.1417-1427, 2015. (IF:3.799)
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R. Bise, Y. Maeda, M.H. Kim, and M. Kino-oka
Cell Tracking Under High Confluency Conditions by Candidate Cell Region Detection Based Association Approach
Proceedings of BioMed 2013(oral)
- S. Huh, E. Ker, R. Bise, M. Chen, and T. Kanade
Automated Mitosis Detection of Stem Cell Populations in Phase-Contrast Microscopy Images
IEEE Trans. Med. Imaging, 30(3),pp.586-596, 2011 (IF:3.799)
- D.F.E. Ker, L.E Weiss, S.N Junkers, M. Chen, Z. Yin, M.F. Sandbothe, S. Huh, S. Eom, R. Bise, E. Osuna-Highley, T. Kanade, and P.G Campbell
An engineered approach to stem cell culture: automating the decision process for real-time adaptive subculture of stem cells
PloS one 6 (11), e27672. (IF:3.534)
- AJS. Ribeiro, S. Tottey, RWE. Taylor, R. Bise, T. Kanade, SF. Badylak, and KN. Dahl,
Mechanical characterization of adult stem cells from bone marrow and perivascular niches
Journal of biomechanics, 45(7), pp.1280-1287, 2012. (IF:2.496)
- S. Eom, S. Huh, D. F. E. Ker, R. Bise, and T. Kanade
BTracking of hematopoietic stem cells in microscopy images for lineage determination
IEEE Trans. Biomedical engineering, (accepted,IF:2.233)
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R. Bise, T. Kanade, Z. Yin, and S. Huh
Automatic Cell Tracking Applied to Analysis of Cell Migration in Wound Healing Assay
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC),
pp.6174-6179, 2011(oral)
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R. Bise, Z. Yin, and T. Kanade
Reliable Cell Tracking by Global Data Association
Proceedings of IEEE International Symposium on Biomedical Imaging (ISBI)
pp.1004-1010, 2011.(oral,acceptance rate < 18%)
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S. Huh, S. Eom, R. Bise, Z. Yin, and T. Kanade
Mitosis Detection for Stem Cell Tracking in Phase-Contrast Microscopy Images
Proceedings of the IEEE International Symposium on Biomedical Imaging (ISBI)
pages 2121-2127, 2011
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T. Kanade, Z. Yin, R. Bise, S. Huh, S. Eom, M. Sandbothe and M. Chen
Cell Image Analysis: Algorithms, System and Applications
Proceedings of IEEE Winter Conference on Applications of Computer Vision (WACV)
pp.374-381, 2011
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S. Eom, R. Bise, and T. Kanade
Detection of Hematopoietic Stem Cells in Microscopy Images Using a Bank of Ring Filters
Proceedings of the IEEE International Symposium on Biomedical Imaging (ISBI)
pp.137-140, 2010
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Z. Yin, R. Bise, M. Chen, and T. Kanade
Cell Segmentation in Microscopy Imagery Using a Bag of Local Bayesian Classifiers
Proceedings of the IEEE International Symposium on Biomedical Imaging (ISBI)
pp.125-128, 2010
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R. Bise, K. Li, S. Eom, and T. Kanade
Reliably Tracking Partially Overlapping Neural Stem Cells in DIC Microscopy Image Sequences
Proceedings of MICCAI Workshop on OPTMHisE
pp.67-77, 2009
- R Bise, N Takahashi, T Nishi
An improvement of the design method of cellular neural networks based on generalized eigenvalue minimization
IEEE Trans. Circuits and Systems I: Fundamental Theory and Applications, 50(12), 1569-1574, 2013 (IF:2.303)
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R. Bise, N. Takahashi, and T. Nishi
On the design method of cellular neural networks for associative memories based on generalized eigenvalue problem
Proceedings of IEEE Cellular Neural Networks and Their Applications
pp.515-522, 2002
Presentations in International Conference
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- Dan Wang, Xu Zhang, Kazuya Nishimura, Rocky Tuan, Ryoma Bise, Dai Fei Elmer Ker
Label-Free Cell Detection in Phase Contrast Images Using Artificial Neural Networks
Orthopaedic Research Society (ORS) Annual Meeting, 2020.3.
- Junya Hayashida, Ryoma Bise
Cell Tracking by estimating cell motions for high-throughput screening
In Resonance Bio International Symposium, Japan, November 2019.
- Nishimura Kazuya, Dai Fei Elmer Ker, Ryoma Bise
Deep learning for cell segmentation with less annotation
In Resonance Bio International Symposium, Japan, November 2019.
- Kentaro Abe, Hideaki Hayashi, Ryoma Bise, Takuji Kawamura, Naokuni Sakiyama, Kiyohito Tanaka, Seiichi Uchida
Clustering of Colonoscopic Image with Multi-Task Learning
The 15th Joint Workshop on Machine Perception and Robotics (MPR2019), Shiga, Japan, 2019.11.
- Ryo Kikkawa, Ryoma Bise
Weakly Supervised Body Hair Detection in Photoacoustic Image
The 15th Joint Workshop on Machine Perception and Robotics (MPR2019), Shiga, Japan, 2019.11.
- Nishimura Kazuya, Dai Fei Elmer Ker, Ryoma Bise
Weakly supervised Cell Segmentation
The 15th Joint Workshop on Machine Perception and Robotics (MPR2019), Shiga, Japan, 2019.11.
- Junya Hayashida, Ryoma Bise
Cell Tracking with CNN for Cell Detection and Association
The 15th Joint Workshop on Machine Perception and Robotics (MPR2019), Shiga, Japan, 2019.11.
- Yuki Teramoto, Akihiko Yoshizawa, Ryoma Bise, Hiroki Tokunaga, Naoki Nakajima, and Hironori Haga
Deep learning for cell segmentation with less annotation
United States & Canadian Academy of Pathology Annual Meeting (USCAP 2019), March 2019 (Poster presentation,査読有り)
- Matsumoto Y, Gu L, Bise R, Asao Y, Sekiguchi H, Yoshikawa A, Ishii T, Takada M, Kataoka M, Sakurai T, Yagi T, Sato I, Togashi K, Shiina T, and Toi M.
Machine learning-based structural analysis and oxygen saturation measurement of tumor-associated vessels in breast cancer using a photoacoustic tomography system
USA, San Antonio Breast Cancer Symposium 2018.
- K.Kajiya, R.Bise, C.Seidel, I. Sato, T. Yamashita, and M. Detmar
Cleaning of a human skin and its application for the three-dimensional visualization of the vasculature
Journal of Investigative Dermatology, 136, 9, S254, 2016.
- A. Kondow, K. Ohnuma, S. Nonaka, Y. Kamei, R. Bise, Y. Sato, T. Kobayashi, and K. Hashimoto
In vivo measurement of the Nodal signal followed by 3D tracking during early zebrafish development
JSDB Special Symposium: Frontier of Developmental Biology, June 2016.
- R. Bise et al.
3D Cell Tracking Under Dense Cell Culture Conditions by Preserving the Structure of Neighbor Cells
IEEE International Symposium on Biomedical Imaging(ISBI) 2014
- R. Bise et al.
Cell Image Analysis Technology Applications
Bioimage Informatics 2010
- R. Bise et al.
Real-time System for Microscope Imaging, Cell Tracking, and Adaptive Culturing
Bioimage Informatics 2010 (Poster)
- R. Bise and T. Akai
Cell Migration Assay Kit based on Smart Surface and Cell Tracking
First Workshop on Computer Vision Tracking of Cell Populations 2011 (oral)
- R. Bise, Z. Yin, S. Huh, S. Eom, and T. Kanade
Global Tree Structure Association Method for Tracking Cells and Creating Lineage Tree
First Workshop on Computer Vision Tracking of Cell Populations 2011 (Poster)
- E.D.F. Ker, L. Weiss, S. Junkers, M. Chen, Z. Yin, E. Highley, S. Huh, M.F. Sandbothe, S. Eom, R. Bise, T. Kanade, and P. Campbell
Towards Robotic Subculture of Cells: Automating the Decision Process for Real Time Adaptive Subculture of Stem Cells
First Workshop on Computer Vision Tracking of Cell Populations 2011 (Poster)
- T. Kanade, M.F. Sandbothe, D.F.E. Ker, S. Eom, R. Bise, S.Huh, Z. Yin, and M. Chen
Real-time System for Microscope Imaging, Cell Tracking, and Adaptive Culturing
Bioimage informatics, 2010, (Poster)
- T. Kanade, S. Eom, R. Bise, Seung-il Huh, Zhaozheng Yin, and Mei Chen
Cell Image Analysis Technology Applications
Bioimage informatics, 2010, (Poster)
- R. Bise, Kang Li, and Takeo Kanade
Cell Tracking with Occlusion Handling
ntel Labs Pittsburgh Open House 2009
- R. Bise, K. Li, and T. Kanade
Automated Stem Cell Tracking through Long-Term Partial Overlap
Annual meeting of Biomedical Engineering Society(BMES), 2009
- Ryoma Bise
Cell Tracking Under Dense Cell Culture Conditions for Cell Behavior Analysis
Graduate School of Interdisciplinary Information Studies, The University of Tokyo, 2015.05