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Kuhara shigehide  久原 重英

ORCIDConnect your ORCID iD *help
… Alternative Names

久原 重英  クハラ シゲヒデ

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Researcher Number 60781234
Affiliation (Current) 2025: 杏林大学, 保健学部, 非常勤講師
Affiliation (based on the past Project Information) *help 2022 – 2023: 杏林大学, 保健学部, 非常勤講師
2022: 杏林大学, 国際医療福祉大学, 客員研究員
2017 – 2022: 杏林大学, 保健学部, 教授
Review Section/Research Field
Principal Investigator
Basic Section 52040:Radiological sciences-related
Except Principal Investigator
Basic Section 03060:Cultural assets study-related / Basic Section 45060:Applied anthropology-related / Cultural assets study and museology / Intelligent informatics
Keywords
Principal Investigator
超解像 / 深層学習 / 冠動脈静止期間 / 冠動脈MRA / MRI / SSD / object detection / CNN / Deep learning / stationary period / whole heart CMRA / Cine MRI / Cardiac MRI … More
Except Principal Investigator
… More MRI / 木質文化財 / CT / Polyethylene glycol / 転倒恐怖感 / 自己認知 / 動作観察 / 運動イメージ / 身体バランス / fMRI / 年輪年代測定 / 年輪考古学 / 高空間分解能撮像 / 年輪年代学 / 非破壊解析 / 高分解能撮像 / デジタルブレストトモシンセシス / 機械学習 / 検査時間短縮 / 空間結合圧縮センシング / 超解像 / U-net / 脳動脈瘤 / ディープニューラルネットワーク / 多重解像度 / 深層学習 Less
  • Research Projects

    (5 results)
  • Research Products

    (10 results)
  • Co-Researchers

    (13 People)
  •  Research on high-resolution coronary MRA imaging method using automatic extraction technology of coronary artery stationary period and super-resolution technologyPrincipal Investigator

    • 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
  •  臨床用MRIおよびCTを用いた水浸木材PEG含浸進展度の非破壊3次元評価法の開発

    • Principal Investigator
      森 美加
    • Project Period (FY)
      2021 – 2024
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 03060:Cultural assets study-related
    • Research Institution
      Kyorin University
  •  超高磁場fMRIによる身体バランスの危機認知に応答する神経機構の同定

    • Principal Investigator
      跡見 友章
    • Project Period (FY)
      2019 – 2024
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 45060:Applied anthropology-related
    • Research Institution
      Kyorin University
  •  Acceleration of Magnetic Resonance Imaging by Machine Learning

    • Principal Investigator
      Kawakita Masanori
    • Project Period (FY)
      2017 – 2019
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Research Field
      Intelligent informatics
    • Research Institution
      Nagoya University
      Kyushu University
  •  Development of nondestructive tree-ring measurement using clinical MRI and CT for dendrochronology

    • Principal Investigator
      Mori Mika
    • Project Period (FY)
      2017 – 2019
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Research Field
      Cultural assets study and museology
    • Research Institution
      Kyorin University

All 2023 2021 2020 2019 2018

All Journal Article Presentation Patent

  • [Journal Article] Nondestructive visualization of polyethylene glycol impregnation in wood using ultrashort echo time 3D imaging2021

    • Author(s)
      Mika Mori, Shigehide Kuhara, Kuninori Kobayashi, Sinya Suzuki
    • Journal Title

      Journal of Cultural Heritage

      Volume: 50 Pages: 43-48

    • DOI

      10.1016/j.culher.2021.05.008

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-21K00992
  • [Journal Article] Visualization of the internal structure of Polyethylene Glycol2020

    • Author(s)
      Mika Mori, Shinya Suzuki, Shigehide Kuhara
    • Journal Title

      Dendrochronologia

      Volume: 61(2020)125708 Pages: 1-6

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-17K01197
  • [Journal Article] Non-destructive tree-ring measurements using a clinical 3T-MRI for archaeology2019

    • Author(s)
      Mika Mori, Shigehide Kuhara, Kuninori Kobayashi, Shinya Suzuki, Masahisa Yamada, Atsushi Senoo
    • Journal Title

      Dendrochronologia

      Volume: 57(2019)125630 Pages: 1-10

    • DOI

      10.1016/j.dendro.2019.125630

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-17K01197
  • [Patent] 国内優先権主張出願2020

    • Inventor(s)
      竹内純一,實松豊,川喜田雅則,北崎自然,久原重英
    • Industrial Property Rights Holder
      竹内純一,實松豊,川喜田雅則,北崎自然,久原重英
    • Industrial Property Rights Type
      特許
    • Industrial Property Number
      2020-025707
    • Filing Date
      2020
    • Data Source
      KAKENHI-PROJECT-17K00308
  • [Patent] 特許権2019

    • Inventor(s)
      竹内純一,實松豊,川喜田雅則,北崎自然,久原重英
    • Industrial Property Rights Holder
      竹内純一,實松豊,川喜田雅則,北崎自然,久原重英
    • Industrial Property Rights Type
      特許
    • Industrial Property Number
      2019-040207
    • Filing Date
      2019
    • Data Source
      KAKENHI-PROJECT-17K00308
  • [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
  • [Presentation] 不安定なバランス課題に対する観察と運動イメージ実施時の脳活動:fMRI研究2023

    • Author(s)
      跡見友章,池田悠稀,久原重英,小林邦典,遠藤祐太,菊池吉晃
    • Organizer
      日本生理人類学会第84回大会
    • Data Source
      KAKENHI-PROJECT-19K06875
  • [Presentation] 深層学習超解像を用いた磁気共鳴血管画像の復元2019

    • Author(s)
      北崎自然,川喜田雅則,實松豊,久原重英,樋渡昭雄,竹内純一
    • Organizer
      情報論的学習理論と機械学習研究会
    • Data Source
      KAKENHI-PROJECT-17K00308
  • [Presentation] Magnetic Resonance Angiography Image Restoration by Super Resolution Based on Deep Learning2019

    • Author(s)
      S. Kitazaki, M. Kawakita, Y. Jitsumatsu, S. Kuhara, A. Hiwatashi and J. Takeuchi
    • Organizer
      The European Society for Magnetic Resonance in Medicine and Biology Congress 2019 (ESMRMB2019)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17K00308
  • [Presentation] 深層学習超解像を用いたMRI再構成の検討2018

    • Author(s)
      北崎自然,川喜田雅則,實松豊,久原重英,竹内純一
    • Organizer
      情報論的学習理論と機械学習研究会
    • Data Source
      KAKENHI-PROJECT-17K00308
  • 1.  小林 邦典 (90723867)
    # of Collaborated Projects: 4 results
    # of Collaborated Products: 4 results
  • 2.  Mori Mika (90737165)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 3 results
  • 3.  芝生 春菜 (20784606)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 1 results
  • 4.  Kawakita Masanori (90435496)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 3 results
  • 5.  實松 豊 (60336063)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 6.  山田 昌久 (70210482)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 1 results
  • 7.  跡見 友章 (80611285)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 1 results
  • 8.  菊池 吉晃 (50134739)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 1 results
  • 9.  竹内 純一 (80432871)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 10.  天沼 誠 (10212565)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 11.  横山 健一 (20383680)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 12.  遠藤 祐太 (80845016)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 1 results
  • 13.  實末 豊
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 3 results

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