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J-GLOBAL ID：202101014291944870   Update date: Aug. 14, 2024

Satoshi Kondo

コンドウ サトシ | Satoshi Kondo
Affiliation and department：
Muroran Institute of Technology

About Muroran Institute of Technology


Job title： Professor
Research field  (2)： Biological, health, and medical informatics ,  Intelligent informatics
Research keywords  (2)： Medical Computer Vision ,  Computer Vision
Research theme for competitive and other funds  (8)：
  • 2024 - 2027 構造的な異常所見を有さない胸部単純X線画像を用いた統合的な疾患予測指標の開発
  • 2023 - 2026 繰り返し受診マンモグラムを用いたがんの予兆予測AIの開発
  • 2022 - 2025 教師データ作成を不要とする医用画像向け深層学習モデル転用技術の開発
  • 2022 - 2024 画像認識技術を用いた製造プロセスDXの研究開発
  • 2021 - 2024 画像認識・Deep Learningの実用化に関する研究
Show all
Papers (71)：
  • Chiharu Kai, Satoshi Kondo, Tsunehiro Otsuka, Akifumi Yoshida, Ikumi Sato, Hitoshi Futamura, Naoki Kodama, Satoshi Kasai. Development of a Subtraction Processing Technology for Assistance in the Comparative Interpretation of Mammograms. Diagnostics. 2024. 14. 11. 1131-1131
  • Chiharu Kai, Satoshi Kondo, Tsunehiro Otsuka, Hitoshi Futamura, Satoshi Kasai. Evaluation of subtraction processing for mammograms analyzed by breast density and thickness. 17th International Workshop on Breast Imaging (IWBI 2024). 2024
  • Chiharu Kai, Tsunehiro Otsuka, Miyako Nara, Satoshi Kondo, Hitoshi Futamura, Naoki Kodama, Satoshi Kasai. Identifying factors that indicate the possibility of non-visible cases on mammograms using mammary gland content ratio estimated by artificial intelligence. Frontiers in Oncology. 2024. 14
  • Satoshi Kondo. Black-Box Unsupervised Domain Adaptation for Medical Image Segmentation. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2024. 14293 LNCS. 22-30
  • Satoshi Kondo, Megumi Satoh, Mutsumi Nishida, Ryousuke Sakano, Kazuya Takagi. Ceusia-Breast: computer-aided diagnosis with contrast enhanced ultrasound image analysis for breast lesions. BMC Medical Imaging. 2023. 23. 1
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MISC (16)：
  • Chinedu Innocent Nwoye, Tong Yu, Saurav Sharma, Aditya Murali, Deepak Alapatt, Armine Vardazaryan, Kun Yuan, Jonas Hajek, Wolfgang Reiter, Amine Yamlahi, et al. CholecTriplet2022: Show me a tool and tell me the triplet - An endoscopic vision challenge for surgical action triplet detection. Medical Image Analysis. 2023. 89
  • Martin Wagner, Beat Peter Müller-Stich, Anna Kisilenko, Duc Tran, Patrick Heger, Lars Mündermann, David M. Lubotsky, Benjamin Müller, Tornike Davitashvili, Manuela Capek, et al. Comparative validation of machine learning algorithms for surgical workflow and skill analysis with the HeiChole benchmark. Medical Image Analysis. 2023. 86
  • Chinedu Innocent Nwoye, Deepak Alapatt, Tong Yu, Armine Vardazaryan, Fangfang Xia, Zixuan Zhao, Tong Xia, Fucang Jia, Yuxuan Yang, Hao Wang, et al. CholecTriplet2021: A benchmark challenge for surgical action triplet recognition. Medical Image Analysis. 2023. 86
  • Marc Aubreville, Nikolas Stathonikos, Christof A. Bertram, Robert Klopfleisch, Natalie ter Hoeve, Francesco Ciompi, Frauke Wilm, Christian Marzahl, Taryn A. Donovan, Andreas Maier, et al. Mitosis domain generalization in histopathology images - The MIDOG challenge. Medical Image Analysis. 2023. 84
  • Reuben Dorent, Aaron Kujawa, Marina Ivory, Spyridon Bakas, Nicola Rieke, Samuel Joutard, Ben Glocker, Jorge Cardoso, Marc Modat, Kayhan Batmanghelich, et al. CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation. Medical Image Analysis. 2023. 83
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Books (2)：
  • Computer-Aided Analysis of Gastrointestinal Videos
    Springer 2021 ISBN:9783030643393
  • 映像情報メディア工学大事典
    オーム社 (2010) 2010 ISBN:9784274208690
Lectures and oral presentations  (6)：
  • ラベルありCT画像を活用したラベルなしMRI画像の肩甲骨部抽出
    (電子情報通信学会 画像工学研究会)
  • 画像診断 AI の開発におけるデータセット構築コスト削減の取り組み
    (第27回遠隔医療学会学術大会 2023)
  • マンモグラムの左右比較手法の検討
    (画像の認識・理解シンポジウムMIRU2023 2023)
  • Black-Box Unsupervised Domain Adaptation for Medical Image Segmentation
    (画像の認識・理解シンポジウムMIRU2023 2023)
  • Screening and case analysis of chest X-ray images using deep learning techniques
    (生体画像と医用人工知能研究会 第5回若手発表会 2023)
ｍore...
Education (2)：
  • - 1992 Osaka Prefecture University Graduate School, Division of Engineering
  • - 1990 Osaka Prefecture University Faculty of Engineering
Professional career (1)：
  • 博士(工学) (Osaka Prefecture University)
Work history (3)：
  • 2014/01/01 - 2021/06/30 コニカミノルタ株式会社
  • 2014/01 - 2021/06 コニカミノルタ株式会社 部長
  • 1992/04 - 2013/12 松下電器産業株式会社(現パナソニック株式会社)
Committee career (3)：
  • 2023/04 - 現在 電子情報通信学会 画像工学研究会委員
  • 2012 - 2015 電子情報通信学会 パターン認識・メディア理解研究会委員
  • 2010 - 2013 映像情報メディア学会 編集委員会委員
Awards (6)：
  • 2021/09 - The “PEg TRAnsfer Workflow recognition by different modalities” (PETRAW) sub-challenge in Endoscopic Vision Challenge at MICCAI 2021 PETRAW sub-challenge in Endoscopic Vision Challenge at MICCAI 2021:全5タスク中4タスクで1位
  • 2021/09 - SimSurgSkill - Objective Surgical Skills Assessment in VR Simulation in Endoscopic Vision Challenge at MICCAI 2021 SimSurgSkill in Endoscopic Vision Challenge at MICCAI 2021:Category #1 (Surgical tool clevis and needle detection) 1位
  • 2020/09 - SurgVisDom - Surgical Visual Domain Adaptation Sub-challenge in Endoscopic Vision Challenge at MICCAI 2020 SurgVisDom in Endoscopic Vision Challenge at MICCAI 2020:Category #1 1位
  • 2019/09 - Surgical Workflow Analysis and Skill Analysis Sub-challenge in Endoscopic Vision Challenge at MICCAI 2019 Surgical Workflow Analysis and Skill Analysis Sub-challenge in Endoscopic Vision Challenge at MICCAI 2019:Instrument presence detection部門1位,Action recognition部門1位
  • 2018/09 - Gastrointestinal Image Analysis (GIANA) sub-challenge in Endoscopic Vision Challenge at MICCAI 2018 GIANA sub-challenge in Endoscopic Vision Challenge at MICCAI 2018:総合1位
Show all
Association Membership(s) (3)：
IEEE ,  日本医用画像工学会 ,  電子情報通信学会
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