Ryoma Bise



    2021/5/14:4 papers are accepted to MICCAI2020 (Top Conference in Medical image analysis)
       1. Hyeonwoo Cho, Kazuya Nishimura, Kazuhide Watanabe, and Ryoma Bise
       Cell Detection in Domain Shift Problem Using Pseudo-Cell-Position Heatmapg
       International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI2021),
       2. Kazuya Nishimura, Hyeonwoo Cho, and Ryoma Bise
       Semi-supervised Cell Detection in Time-lapse Images Using Temporal Consistency
       3. Kazuma Fujii, Daiki Suehiro, Kazuya Nishimura, and Ryoma Bise
       Cell Detection from Imperfect Annotation by Pseudo Label Selection Using P-classification
       4. Shota Harada, Ryoma Bise, Hideaki Hayashi, Kiyohito Tanaka and Seiichi Uchida
       Order-Guided Disentangled Representation Learning for Ulcerative Colitis Classification with Limited Labels
    2021/5/12:One paper is accepted to MIA (Top Journal in Medical image analysis, IF:11.148)
       Shota Harada, Ryoma Bise, Hideaki Hayashi, Kiyohito Tanaka, Seiichi Uchida
       Soft and Self Constrained Clustering for Group-Based Labeling
       Medical Image Analysis, 2021
    2020/7/3:Two papers are accepted in ECCV2020 (Top Conference in Computer Vision, acceptance rate:27%)。
       1. K. Nishimura, J. Hayashida, C. Wang, D.F.E. Ker, and R. Bise
       Weakly-Supervised Cell Tracking via Backward-and-Forward Propagation
       2. H. Tokunaga, B.K. Iwana, Y. Teramoto, A. Yoshizawa, and R. Bise
       Negative Pseudo Labeling using Class Proportion for Semantic Segmentation in Pathology
    2020/05/19:One paper is accepted to MICCAI2020 (Top Conference in Medical image analysis)
       M. Shimano, Y. Asano, S. Ishihara, R. Bise, and I. Sato,
       Imaging Scattering Characteristics of Tissue in Transmitted Microscopy
    2020/02/24:One paper is accepted in CVPR2020 (oral, Top Conference in Computer Vision, acceptance rate:22%)
       J. Hayashida, K. Nishimura and R. Bise,
       MPM: Joint Representation of Motion and Position Map for Cell Tracking pdf
    2020/06/30:Three papers are accepted to MICCAI2019 (Top Conference in Medical image analysis, acceptance rate: 31%)
       R. Bise, K. Abe, H. Hayashi, K. Tanaka, and S. Uchida, Efficient Soft-Constrained Clustering for Group-Based Labeling
       K. Nishimura, E.D. Ker, and R. Bise, Weakly Supervised Cell Segmentation in Dense by Propagating from Detection Map
       J. Hayashida, and R. Bise, Cell Tracking with Deep Learning for Cell Detection and Motion Estimation in Low-Frame-Rate
    2020/06/20:One paper is accepted in CVPR2019 (Top Conference in Computer Vision, Poster, acceptance rate:25%)
       H. Tokunaga, Y. Teramoto, A. Yoshizawa, R. Bise,
       Adaptive Weighting Multi-Field-of-View CNN for Semantic Segmentation in Pathology



    in preparation

Curriculum Vitae

    2000.4 Graduate School of Information Science and Electrical Engineering, Kyushu University
    2002.3 Recived Master Degree from Kyushu University
    2002.4 Dai Nippon Printing (C&I IT Research Center)
    2008.7 Carnegie Mellon University, Robotics Institute(Visiting Scholor,supervisor:Prof. Takeo Kanade )
    2011.1 Return to Japan, Dai Nippon Printing Research & Development Center, Team Reader
    2012.4 Graduate School of Interdisciplinary Information Studies, The University of Tokyo(supervisor:Prof. Yoichi Sato)
    2015.5 Recieved Ph.D.(Interdisciplinary Information Studies)
    2015.9 Leave Dai Nippon Printing
    2015.10 National Institute of Informatics, Associate Professor in special appointment(Sato Imari Lab.)
    2015.10 Breast Surgery, Faculty of Medicine Kyoto University, Visiting Scholor
    2017.3 Leave National Institute of Informatics
    2017.4 Faculty of Information Science and Electrical Engineering, Kyushu University, Associate Professor
    2017.4 National Institute of Informatics, Visiting Associate Professor
    2017.11 Department of Anatomy, School of Medicine, Keio University, Part-time Lecturer


    E-mail: bise[at]ait.kyushu-u.ac.jp