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Shida Keiichi  信太 圭一

ORCIDConnect your ORCID iD *help
Researcher Number 40623286
Other IDs
Affiliation (Current) 2025: 帝京大学, 公私立大学の部局等, 准教授
Affiliation (based on the past Project Information) *help 2019 – 2020: 帝京大学, 公私立大学の部局等, 講師
Review Section/Research Field
Principal Investigator
Basic Section 52040:Radiological sciences-related
Keywords
Principal Investigator
深層学習 / 入院期間 / コントラスト / MRI / 予測 / 入院長期化
  • Research Projects

    (1 results)
  • Research Products

    (3 results)
  •  Prediction of Extended Hospital Stays Using a Deep Learning Algorithm Based on MR ImagesPrincipal Investigator

    • Principal Investigator
      Shida Keiichi
    • Project Period (FY)
      2019 – 2020
    • Research Category
      Grant-in-Aid for Early-Career Scientists
    • Review Section
      Basic Section 52040:Radiological sciences-related
    • Research Institution
      Teikyo University

All 2020 2019

All Journal Article Presentation

  • [Journal Article] MRI 画像の種類による入院期間長期化予測精度の違い2020

    • Author(s)
      信太 圭一、岩穴口 孝、佐々木 雅史、宇都 由美子
    • Journal Title

      第40回医療情報学連合大会論文集

      Volume: 40 Pages: 891-892

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19K17178
  • [Journal Article] Prediction of Extended Hospital Stays Using a Deep Learning Algorithm Based on MR Images2019

    • Author(s)
      信太圭一 岩穴口孝 佐々木雅史 宇都由美子
    • Journal Title

      医療情報学会論文集

      Volume: 39 Pages: 424-425

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19K17178
  • [Presentation] MRI画像を用いた入院期間長期化の予測2019

    • Author(s)
      信太圭一 岩穴口孝 佐々木雅史 宇都由美子 熊本一朗
    • Organizer
      日本医療マネジメント学会,福岡支部学術集会
    • Data Source
      KAKENHI-PROJECT-19K17178

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