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MORI Kentaro  森 健太郎

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Mori Kentaro  森 健太郎

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Researcher Number 90881128
Other IDs
Affiliation (Current) 2025: 舞鶴工業高等専門学校, その他部局等, 講師
Affiliation (based on the past Project Information) *help 2024 – 2025: 舞鶴工業高等専門学校, その他部局等, 講師
2020 – 2021: 舞鶴工業高等専門学校, その他部局等, 助教
Review Section/Research Field
Principal Investigator
Basic Section 90130:Medical systems-related / 0403:Biomedical engineering and related fields
Except Principal Investigator
Basic Section 09070:Educational technology-related
Keywords
Principal Investigator
サロゲートモデル / がん / 温熱療法 / マシンラーニング / ディープラーニング / 深層学習 / 子宮蠕動運動 / 女性不妊症 / 医療画像 / 機械学習 / データ拡張 / 不妊症 … More
Except Principal Investigator
… More 教育支援システム / 特別支援学校教員 / VR教材 / 障害種に依存しないVRコントローラ Less
  • Research Projects

    (3 results)
  • Research Products

    (1 results)
  • Co-Researchers

    (1 People)
  •  Development of a VR controller independent of disability types and construction of an educational system to support the creation of VR teaching materials

    • Principal Investigator
      丹下 裕
    • Project Period (FY)
      2025 – 2027
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 09070:Educational technology-related
    • Research Institution
      Maizuru National College of Technology
  •  サロゲートモデルを活用したがんの温熱治療にむけた生体内温度の非侵襲推定Principal Investigator

    • Principal Investigator
      森 健太郎
    • Project Period (FY)
      2024 – 2026
    • Research Category
      Grant-in-Aid for Early-Career Scientists
    • Review Section
      Basic Section 90130:Medical systems-related
    • Research Institution
      Maizuru National College of Technology
  •  Development of data augmentation methods for infertility diagnosis support systemPrincipal Investigator

    • Principal Investigator
      Mori Kentaro
    • Project Period (FY)
      2020 – 2021
    • Research Category
      Grant-in-Aid for Research Activity Start-up
    • Review Section
      0403:Biomedical engineering and related fields
    • Research Institution
      Maizuru National College of Technology

All 2021

All Presentation

  • [Presentation] Uterine Movement Analysis Based on Velocity Information by Convolutional Neural Networks2021

    • Author(s)
      Kentaro Mori , Yoshimitsu Tokunaga , Tetsuro Sakumoto , Akira Nakashima , Isamu Komesu , Yutaka Hata
    • Organizer
      World Automation Congress 2021
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20K22513
  • 1.  丹下 裕 (50435434)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results

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