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J-GLOBAL ID：201501017535811543   Update date: Oct. 16, 2025

Bise Ryoma

Bise Ryoma | Bise Ryoma
Affiliation and department：
Kyushu University Faculty of Information Science and Electrical Engineering Department of Advanced Information Technology

About Kyushu University Faculty of Information Science and Electrical Engineering Department of Advanced Information Technology


Job title： Professor
Other affiliations (2)：
  • 慶応義塾大学医学部解剖学教室  講師(非常勤)
  • National Institute of Informatics  Visiting Associate Professor
Homepage URL  (1)： http://human.ait.kyushu-u.ac.jp/
Research field  (2)： Biological, health, and medical informatics ,  Perceptual information processing
Research keywords  (4)： Bio Image Informatics ,  Medical Image ,  Image Processing ,  Computer Vision
Research theme for competitive and other funds  (18)：
  • 2024 - 2029 データサンプリングを前提とした機械学習の包括的枠組み
  • 2025 - 2028 Development of a Coronary Artery Calcification Risk Score Based on CT Imaging and Evaluation of Clinical Outcome Prediction Using Artificial Intelligence
  • 2022 - 2028 Advanced Bioimaging Support
  • 2025 - 2027 Joint Generation and Inference Learning with Generative AI for Cross-Domain Adaptation
  • 2023 - 2025 Learning from partial label proportion for pathological image diagnosis
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Papers (103)：
  • Kaito Shiku, Shinnosuke Matsuo, Daiki Suehiro, Ryoma Bise. Learning from majority label: A novel problem in multi-class multiple-instance learning. Pattern Recognition. 2026. 172. 112425-112425
  • Kazuya Nishimura, Haruka Hirose, Ryoma Bise, Kaito Shiku, Yasuhiro Kojima. Learning to Relative Expression under Batch Effects and Stochastic Noise in Spatial Transcriptomics. The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS), 2025. 2025
  • Masashi Yamana, Ryoma Bise, Makoto Endo, Tomoya Matsunobu, Nokitaka Setsu, Nobuhiko Yokoyama, Yasuharu Nakashima, Seiichi Uchida. Development and evaluation of deep learning models for detecting and classifying various bone tumours in full-field limb radiographs using automated object detection models. Bone & joint research. 2025. 14. 9. 760-768
  • Shumpei Takezaki, Ryoma Bise, Shinnosuke Matsuo. NoiseCutMix: A Novel Data Augmentation Approach by Mixing Estimated Noise in Diffusion Models. International Conference on Computer Vision Workshop LIMIT (ICCVW2025). 2025. abs/2509.00378
  • Takehiro Yamane, Itaru Tsuge, Susumu Saito, Ryoma Bise. Adaptive Pseudo Label Selection for Individual Unlabeled Data by Positive and Unlabeled Learning. MICCAI 2024 Workshop (ADSMI). 2025. abs/2508.07548
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MISC (14)：
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Books (4)：
  • 機械学習のさまざまな問題設定と解法(第3章-I-3), 細胞トラッキングの機械学習および数理最適化技術-多物体トラッキングの課題とアプローチ(第3章-II-5), 行動追跡とDeepLabCut-アニマルポーズトラッキング技術(第3章-II-6) in機械学習を生命科学に使う! : シークエンスや画像データをどう解析し、新たな生物学的発見につなげるか?
    羊土社 2020 ISBN:9784758103916
  • 再生医療の細胞培養技術と産業展開
    シーエムシー出版 2014
  • 再生医療事業の課題解決のための手引書
    技術情報協会 2013
  • 幹細胞医療の実用化技術と産業展望
    シーエムシー出版 2012
Lectures and oral presentations  (43)：
  • zebrafish胚中内胚葉形成時の1細胞におけるNodalシグナルの時間変化解析
    (2017)
  • Low-rank最適化による血管・ノイズ・欠損領域分離及び 位置合わせを用いた光超音波画像の画質改善
    (第20回 画像の認識・理解シンポジウム 2017)
  • ヒト皮膚透明化技術の開発と毛細血管の 3 次元的可視化
    (第42 回 日本香粧品学会 2017)
  • Low-rank最適化によるノイズ分離および位置合わせを用いた光超音波血管画像の画質改善
    (日本超音波医学会第90回学術集会 2017)
  • Cell Tracking for Cell Behavior Analysis
    (SPIE Biomedical Imaging and Sensing Conference (BISC 2017) 2017)
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Education (2)：
  • 2012 - 2015 The University of Tokyo
  • 2000 - 2002 九州大学大学院 システム情報科学府 情報理学専攻 修士課程
Professional career (1)：
  • Ph. D. in Interdisciplinary Information Studies (The University of Tokyo)
Work history (6)：
  • 2023/12 - 現在 Kyushu University Faculty of Information Science and Electrical Engineering, Department of Advanced Information Technology Professor
  • 2023/12 - 現在 Kyushu University Faculty of Information Science and Electrical Engineering Professor
  • 2017/04 - 2023/12 Kyushu University Faculty of Information Science and Electrical Engineering Associate Professor
  • 2015/10 - 2017/03 National Institute of Informatics
  • 2002/04 - 2015/09 Dai Nippon Printing Co., Ltd.
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Committee career (20)：
  • 2025/10 - 現在 IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR) 2026 Area Chair
  • 2024/01 - 現在 International Conference on Machine Vision Applications (MVA2025) General Chair
  • 2022/02 - 現在 Pattern Recognition Associate Editor
  • 2010/05 - 現在 パターン認識・メディア理解研究会 専門委員
  • 2025/01 - 2025/09 28th INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION (MICCAI) 2025 Area Chair
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Awards (2)：
  • 2013/04 - Poster Award 3D Cell Tracking in Dense Cell Culture Conditions
  • 化学工学会第44回秋季大会 優秀ポスター賞 コンフルエント状態における網膜色素上皮細胞の遊走性による細胞成熟度の解析
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