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ENDO YUTA  遠藤 祐太

ORCIDConnect your ORCID iD *help
Researcher Number 80845016
Other IDs
Affiliation (Current) 2025: 杏林大学, 保健学部, 学内講師
Affiliation (based on the past Project Information) *help 2022 – 2024: 杏林大学, 保健学部, 助教
Review Section/Research Field
Principal Investigator
Basic Section 53020:Cardiology-related
Except Principal Investigator
Basic Section 59010:Rehabilitation science-related / Basic Section 52040:Radiological sciences-related
Keywords
Principal Investigator
ハーモナイゼーション / MRIシミュレーション / 心筋T1マッピング
Except Principal Investigator
脳活動 / 高齢者 / 歩行速度 / 歩行予備能 / 超解像 / 深層学習 / 冠動脈静止期間 … More / 冠動脈MRA / MRI / SSD / object detection / CNN / Deep learning / stationary period / whole heart CMRA / Cine MRI / Cardiac MRI Less
  • Research Projects

    (3 results)
  • Research Products

    (1 results)
  • Co-Researchers

    (8 People)
  •  高齢者における歩行予備能が健康関連アウトカムに及ぼす影響の解明

    • Principal Investigator
      橋立 博幸
    • Project Period (FY)
      2024 – 2026
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 59010:Rehabilitation science-related
    • Research Institution
      Kyorin University
  •  心筋T1マッピングのハーモナイゼーション法開発を目指したMRIシミュレーションの構築Principal Investigator

    • Principal Investigator
      遠藤 祐太
    • Project Period (FY)
      2024 – 2025
    • Research Category
      Grant-in-Aid for Early-Career Scientists
    • Review Section
      Basic Section 53020:Cardiology-related
    • Research Institution
      Kyorin University
  •  Research on high-resolution coronary MRA imaging method using automatic extraction technology of coronary artery stationary period and super-resolution technology

    • Principal Investigator
      久原 重英
    • Project Period (FY)
      2022 – 2024
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 52040:Radiological sciences-related
    • Research Institution
      Kyorin University

All 2023

All Presentation

  • [Presentation] Automatic detection method for the stationary period of the coronary arteries for whole-heart coronary MR angiography using deep learning2023

    • Author(s)
      Shigehide Kuhara, Remina Kasai, Yuta Endo, Haruna Shibo, Sanae Takahashi, and Kuninori Kobayashi
    • Organizer
      International Society for Magnetic Resonance in Medicine
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K07646
  • 1.  久原 重英 (60781234)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 1 results
  • 2.  竹内 純一 (80432871)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 3.  天沼 誠 (10212565)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 4.  横山 健一 (20383680)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 5.  芝生 春菜 (20784606)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 1 results
  • 6.  小林 邦典 (90723867)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 1 results
  • 7.  橋立 博幸 (00369373)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 8.  池田 悠稀 (60868800)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results

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