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Fukumoto Wataru  福本 航

ORCIDConnect your ORCID iD *help
Researcher Number 00726870
Other IDs
Affiliation (Current) 2025: 広島大学, 医系科学研究科(医), 准教授
Affiliation (based on the past Project Information) *help 2020 – 2023: 広島大学, 医系科学研究科(医), 助教
2019: 広島大学, 医系科学研究科(医), 特任助教
2017 – 2018: 広島大学, 医歯薬保健学研究科(医), 特任助教
2016: 広島大学, 病院(医), 医科診療医
2014 – 2015: 広島大学, 大学病院, 医科診療医
Review Section/Research Field
Principal Investigator
Basic Section 52040:Radiological sciences-related / Radiation science
Except Principal Investigator
Basic Section 52040:Radiological sciences-related / Radiation science
Keywords
Principal Investigator
CT / 物質弁別画像 / 死後CT / Dual-energy CT / 肺気腫スコア / 画像再構成法 / Deep-learning / 人工知能 / 肺気腫 / 被爆 … More / DNA / 造影剤 / DNA損傷 / 放射線被曝低減 / 被曝低減 / 機械学習 … More
Except Principal Investigator
人工知能 / 新型コロナウイルス感染症 / 深層学習 / Radiomics / 肺野病変 / 胸部CT / COVID-19 / 放射線 / 低電圧 / 被ばく / DNA損傷 / γ-H2AX / DNA / 低電圧撮像 / CT Less
  • Research Projects

    (6 results)
  • Research Products

    (3 results)
  • Co-Researchers

    (7 People)
  •  Dual-energy CTの新たな物質識別画像を応用した死後CTの死因診断能向上に関する研究Principal Investigator

    • Principal Investigator
      福本 航
    • Project Period (FY)
      2023 – 2025
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 52040:Radiological sciences-related
    • Research Institution
      Hiroshima University
  •  Development of a Quantitative Analysis Method for Unknown Pulmonary Infections Using Deep Learning of Chest CT Images

    • Principal Investigator
      粟井 和夫
    • Project Period (FY)
      2022 – 2024
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 52040:Radiological sciences-related
    • Research Institution
      Hiroshima University
  •  Development of quantitative evaluation methods for emphysema which is not affected by CT scan condition using deep-learning based reconstructionPrincipal Investigator

    • Principal Investigator
      Fukumoto Wataru
    • Project Period (FY)
      2020 – 2023
    • Research Category
      Grant-in-Aid for Early-Career Scientists
    • Review Section
      Basic Section 52040:Radiological sciences-related
    • Research Institution
      Hiroshima University
  •  Influence of different CT and MRI contrast materials on the induction of DNA damagePrincipal Investigator

    • Principal Investigator
      Fukumoto Wataru
    • Project Period (FY)
      2017 – 2019
    • Research Category
      Grant-in-Aid for Young Scientists (B)
    • Research Field
      Radiation science
    • Research Institution
      Hiroshima University
  •  Evaluation of DNA damage induced by low tube voltage CT scan used in the clinical setting: In-vitro study

    • Principal Investigator
      AWAI Kazuo
    • Project Period (FY)
      2016 – 2018
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Research Field
      Radiation science
    • Research Institution
      Hiroshima University
  •  Lung cancer screening (LCS) in ultra-low-dose CT (U-LDCT) by means of massive-training artificial neural network (MTANN) image-quality improvementPrincipal Investigator

    • Principal Investigator
      Fukumoto Wataru
    • Project Period (FY)
      2014 – 2016
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Research Field
      Radiation science
    • Research Institution
      Hiroshima University

All 2024 2019 2015

All Presentation

  • [Presentation] Comparison of newly developed CZT-based Photon Counting Detector CT (PCD-CT) and Ultra-High-Resolution CT (U-HRCT) for measuring airway dimensions: A phantom study2024

    • Author(s)
      Fukumoto Wataru
    • Organizer
      European Congress of Radiology 2024
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20K16701
  • [Presentation] Influence of different iodinated contrast material on the induction of DNA damage by cardiac CT2019

    • Author(s)
      H.Sakane, W.Fukumoto, et al.
    • Organizer
      Radiological Society of North America (RSNA) 2019 Annual meeting
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17K16444
  • [Presentation] Lung cancer screening (LCS) in ultra-low-dose CT (U-LDCT) by means of massive-training artificial neural network (MTANN) image-quality improvement: An initial clinical trial2015

    • Author(s)
      福本航
    • Organizer
      RSNA 2015(The radiological society of North America 101st scientific assembly and annual meeting)
    • Place of Presentation
      McCORMICK PLACE,CHICAGO, U.S.A
    • Year and Date
      2015-11-29
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-26461793
  • 1.  AWAI Kazuo (30294573)
    # of Collaborated Projects: 4 results
    # of Collaborated Products: 0 results
  • 2.  檜垣 徹 (80611334)
    # of Collaborated Projects: 3 results
    # of Collaborated Products: 0 results
  • 3.  川下 郁生 (70309657)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 0 results
  • 4.  石田 万里 (30359898)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 5.  中浦 猛 (90437913)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 6.  大下 慎一郎 (50508132)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 7.  SUZUKI Kenji
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results

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