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Toba Shuhei  鳥羽 修平

Researcher Number 20806111
Other IDs
  • ORCIDhttps://orcid.org/0000-0002-2843-1086
Affiliation (Current) 2025: 三重大学, 医学部附属病院, 助教
Affiliation (based on the past Project Information) *help 2019 – 2024: 三重大学, 医学部附属病院, 助教
Review Section/Research Field
Principal Investigator
Basic Section 53020:Cardiology-related
Except Principal Investigator
Basic Section 55030:Cardiovascular surgery-related / Basic Section 58010:Medical management and medical sociology-related / Basic Section 53020:Cardiology-related / Basic Section 55040:Respiratory surgery-related
Keywords
Principal Investigator
胸部レントゲン写真 / 血行動態予測 / 血行動態 / 先天性心疾患 / 胸部X線写真 / 人工知能 / 手術適応予測 / 国際共同研究 / フォンタン手術 / 小児循環器学 … More / deep learning / 機械学習 / 肺体血流比 / 胸部X線 / 学校心臓検診 / 小児 / 12誘導心電図 / 転移学習 / 基盤モデル … More
Except Principal Investigator
AI / Deep Learning / 神経損傷 / 静脈穿刺 / 人工知能 / 肺血行動態 / 肺循環疾患 / 胸部X線透視動画解析 / 3Dプリンター / 3Dアトラス / 心臓血管外科 / 刺激伝導系 / 3Dプリントモデル / 三次元アトラス / Micro-CT / 先天性心疾患 / 画像診断 / 早期肺癌 / Deep learning / CT画像 / CNN / MIA / AIS / CT / 早期肺腺癌 / 深層学習 / 機械学習 Less
  • Research Projects

    (7 results)
  • Research Products

    (29 results)
  • Co-Researchers

    (15 People)
  •  肺循環障害の病態・重症度評価におけるX線透視動画解析法の応用

    • Principal Investigator
      荻原 義人
    • Project Period (FY)
      2024 – 2026
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 53020:Cardiology-related
    • Research Institution
      Mie University
  •  AIを用いた血行動態指標の予測に関する研究

    • Principal Investigator
      別所 早紀
    • Project Period (FY)
      2024 – 2026
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 55030:Cardiovascular surgery-related
    • Research Institution
      Mie University
  •  Deep Learningを活用した超音波ガイドによる安全な静脈穿刺法の開発

    • Principal Investigator
      大橋 啓之
    • Project Period (FY)
      2024 – 2026
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 58010:Medical management and medical sociology-related
    • Research Institution
      Mie University
  •  Development and clinical application of a deep-learning model to predict hemodynamic parameters from chest radiographsPrincipal Investigator

    • Principal Investigator
      Toba Shuhei
    • Project Period (FY)
      2021 – 2023
    • Research Category
      Fund for the Promotion of Joint International Research (Fostering Joint International Research (A))
    • Review Section
      Basic Section 53020:Cardiology-related
    • Research Institution
      Mie University
  •  Micro CTによる先天性心疾患の高精細3Dアトラス作成と心内組織三次元可視化

    • Principal Investigator
      山崎 誉斗
    • Project Period (FY)
      2021 – 2024
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 55030:Cardiovascular surgery-related
    • Research Institution
      Mie University
  •  Diagnostic evaluation of early stage lung cancer using deep learning-based analysis of CT images

    • Principal Investigator
      高尾 仁二
    • Project Period (FY)
      2020 – 2024
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 55040:Respiratory surgery-related
    • Research Institution
      Mie University
  •  Artificial intelligence-based analysis of chest X-ray to predict hemodynamic parametersPrincipal Investigator

    • Principal Investigator
      Toba Shuhei
    • Project Period (FY)
      2019 – 2022
    • Research Category
      Grant-in-Aid for Early-Career Scientists
    • Review Section
      Basic Section 53020:Cardiology-related
    • Research Institution
      Mie University

All 2023 2022 2021 2020 2019

All Journal Article Presentation Book Patent

  • [Book] 「先天性心疾患と人工知能ー医師を代替するAI、超えるAIー」循環器内科, 91(4): 434-4392022

    • Author(s)
      鳥羽修平、三谷義英
    • Total Pages
      510
    • Publisher
      科学評論社
    • Data Source
      KAKENHI-PROJECT-20KK0375
  • [Book] 「先天性心疾患と人工知能ー医師を代替するAI、超えるAIー」循環器内科, 91(4): 434-4392022

    • Author(s)
      鳥羽修平、三谷義英
    • Total Pages
      510
    • Publisher
      科学評論社
    • Data Source
      KAKENHI-PROJECT-19K17559
  • [Journal Article] 先天性心疾患と人工知能-医師を代替するAI,超えるAI-2022

    • Author(s)
      鳥羽修平, 三谷義英
    • Journal Title

      循環器内科

      Volume: 91 Pages: 434-439

    • Data Source
      KAKENHI-PROJECT-20KK0375
  • [Journal Article] 先天性心疾患と人工知能-医師を代替するAI,超えるAI-2022

    • Author(s)
      鳥羽修平, 三谷義英
    • Journal Title

      循環器内科

      Volume: 91 Pages: 434-439

    • Data Source
      KAKENHI-PROJECT-19K17559
  • [Journal Article] Prediction of Pulmonary to Systemic Flow Ratio in Patients With Congenital Heart Disease Using Deep Learning-Based Analysis of Chest Radiographs2020

    • Author(s)
      Shuhei Toba, MD; Yoshihide Mitani, MD, PhD; Noriko Yodoya, MD; Hiroyuki Ohashi, MD; Hirofumi Sawada, MD, PhD; Hidetoshi Hayakawa,MD, PhD; Masahiro Hirayama, MD, PhD; Ayano Futsuki, MD; Naoki Yamamoto, MD; Hisato Ito,MD, PhD; Takeshi Konuma, MD, PhD; Hideto Shimpo,MD, PhD; Motoshi Takao, MD, PhD
    • Journal Title

      JAMA Cardiology

      Volume: - Issue: 4 Pages: 449-457

    • DOI

      10.1001/jamacardio.2019.5620

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-19K17559, KAKENHI-PROJECT-18K07841
  • [Patent] 評価システム、評価方法、学習方法、学習済みモデル、プログラム2019

    • Inventor(s)
      鳥羽修平、三谷義英、高尾仁二
    • Industrial Property Rights Holder
      三重大学
    • Industrial Property Rights Type
      特許
    • Industrial Property Number
      2019-178086
    • Filing Date
      2019
    • Data Source
      KAKENHI-PROJECT-19K17559
  • [Presentation] Development of High-resolution 3-dimensional Atlas and Models of Congenital Heart Defects.2023

    • Author(s)
      Shuhei Toba
    • Organizer
      The 53rd Annual Meeting of the Japanese Society for Cardiovascular Surgery.
    • Data Source
      KAKENHI-PROJECT-21K08860
  • [Presentation] Perioperative Changes of Pulmonary to Systemic Flow Ratio Predicted by Deep Learning-Based Analysis of Chest Radiographs in Patients with Atrial Septal Defect2023

    • Author(s)
      Yusuke Sugitani, Shuhei Toba, Keishin Hattori, Umezu Kentaro, Yoshihide Mitani, Hirofumi Sawada, Hiroyuki Ohashi, Noriko Yodoya, Kazunobu Ohya, Naoki Tsuboya, Hisato Itoh, Yu Shomura, Masahiro Hirayama, Motoshi Takao
    • Organizer
      第87回日本循環器学会学術集会
    • Data Source
      KAKENHI-PROJECT-19K17559
  • [Presentation] 人工知能による胸部X線写真からの定量的血行動態予測2022

    • Author(s)
      辻 清龍, 鳥羽 修平, 藤本 直紀, 佐藤 綾音, 土肥 薫
    • Organizer
      第70回日本心臓病学会学術集会
    • Data Source
      KAKENHI-PROJECT-20KK0375
  • [Presentation] Quantitative analysis of hemodynamics from chest radiographs using deep learning.2022

    • Author(s)
      Tsuji S, Toba S, Sato A, Sugitani R
    • Organizer
      The 4th Annual Meeting of;Japanese;Association for;Medical Artificial Intelligence
    • Data Source
      KAKENHI-PROJECT-20KK0375
  • [Presentation] Quantitative analysis of hemodynamics from chest radiographs using deep learning.2022

    • Author(s)
      Tsuji S, Toba S, Sato A, Sugitani R
    • Organizer
      The 4th Annual Meeting of;Japanese;Association for;Medical Artificial Intelligence
    • Data Source
      KAKENHI-PROJECT-19K17559
  • [Presentation] 人工知能による胸部X線写真からの定量的血行動態予測2022

    • Author(s)
      辻 清龍, 鳥羽 修平, 藤本 直紀, 佐藤 綾音, 土肥 薫
    • Organizer
      第70回日本心臓病学会学術集会
    • Data Source
      KAKENHI-PROJECT-19K17559
  • [Presentation] Development of base model for deep learning of chest radiographs.2022

    • Author(s)
      Sato A, Toba S, Tsuji S, Sugitani R
    • Organizer
      The 4th Annual Meeting of Japanese Association for Medical Artificial Intelligence
    • Data Source
      KAKENHI-PROJECT-20KK0375
  • [Presentation] Development of base model for deep learning of chest radiographs.2022

    • Author(s)
      Sato A, Toba S, Tsuji S, Sugitani R
    • Organizer
      The 4th Annual Meeting of Japanese Association for Medical Artificial Intelligence. 2022年6月
    • Data Source
      KAKENHI-PROJECT-19K17559
  • [Presentation] Application of Deep Learning in Pediatric Cardiology2022

    • Author(s)
      Shuhei Toba
    • Organizer
      AHA & JSPCCS joint webinar (Artificial Intelligence and 3D Imaging in Pediatric Cardiology)
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20KK0375
  • [Presentation] Perioperative Changes of Pulmonary to Systemic Flow Ratio Predicted by Deep Learning-Based Analysis of Chest Radiographs in Patients with Atrial Septal Defect2022

    • Author(s)
      Yusuke Sugitani, Shuhei Toba, Keishin Hattori, Umezu Kentaro, Yoshihide Mitani, Hirofumi Sawada, Hiroyuki Ohashi, Noriko Yodoya, Kazunobu Ohya, Naoki Tsuboya, Hisato Itoh, Yu Shomura, Masahiro Hirayama, Motoshi Takao
    • Organizer
      第87回日本循環器学会学術集会
    • Data Source
      KAKENHI-PROJECT-20KK0375
  • [Presentation] Deep Learning-based Analysis of 12-lead Electrocardiogram for Pediatric Cardiac Disease Mass Screening in School-age Children2021

    • Author(s)
      Shuhei Toba, Yoshihide Mitani, et al.
    • Organizer
      日本循環器学会学術総会 プレナリーセッション
    • Data Source
      KAKENHI-PROJECT-19K17559
  • [Presentation] 学校心臓検診心電図における人工知能の応用2021

    • Author(s)
      鳥羽修平、三谷義英、杉谷侑亮、大橋啓之、澤田博文
    • Organizer
      日本小児心電図学会学術総会 シンポジウム
    • Data Source
      KAKENHI-PROJECT-19K17559
  • [Presentation] Deep Learning-based Analysis of 12-lead Electrocardiogram for Pediatric Cardiac Disease Mass Screening in School-age Children2021

    • Author(s)
      Shuhei Toba, Yoshihide Mitani, et al.
    • Organizer
      日本循環器学会学術総会 プレナリーセッション
    • Data Source
      KAKENHI-PROJECT-20KK0375
  • [Presentation] Deep learning-based analysis of 12-lead electrocardiogram for pediatric cardiac disease mass screening in school-age children2021

    • Author(s)
      鳥羽修平、三谷義英、杉谷侑亮、ほか
    • Organizer
      第85回日本循環器学会学術集会
    • Data Source
      KAKENHI-PROJECT-19K17559
  • [Presentation] Application of Deep Learning in Pediatric Cardiology2021

    • Author(s)
      Shuhei Toba
    • Organizer
      AHA & JSPCCS joint webinar (Artificial Intelligence and 3D Imaging in Pediatric Cardiology)
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K17559
  • [Presentation] 学校心臓検診心電図における人工知能の応用2021

    • Author(s)
      鳥羽修平、三谷義英、et al.
    • Organizer
      日本小児心電図学会学術総会 シンポジウム
    • Data Source
      KAKENHI-PROJECT-20KK0375
  • [Presentation] 学校心臓検診心電図を自動判読する人工知能の開発2021

    • Author(s)
      鳥羽修平,三谷義英、杉谷侑亮、大橋啓之,澤田博文,淀谷典子,大槻祥一郎、山崎誉斗,梅津健太郎
    • Organizer
      日本小児循環器学会学術総会 パネルディスカッション
    • Data Source
      KAKENHI-PROJECT-20KK0375
  • [Presentation] 学校心臓検診心電図を自動判読する人工知能の開発2021

    • Author(s)
      鳥羽修平,三谷義英、杉谷侑亮、大橋啓之,澤田博文,淀谷典子,大槻祥一郎、山崎誉斗,梅津健太郎
    • Organizer
      日本小児循環器学会学術総会 パネルディスカッション
    • Data Source
      KAKENHI-PROJECT-19K17559
  • [Presentation] Automated analysis of 12-lead electrocardiogram for pediatric cardiac disease mass screening in school-age children by the combined use of signal processing and deep learning2020

    • Author(s)
      鳥羽修平、三谷義英、杉谷侑亮、ほか
    • Organizer
      American Heart Association Scientific Sessions 2020
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K17559
  • [Presentation] 先天性心疾患周術期における、胸部 X 線写真を用いた肺体血流比予測 AI (人工知能)の評価検討2019

    • Author(s)
      鳥羽修平、小沼武司、石川廉太、山崎誉斗、金田真吏、伊藤 温志、平野 玲奈、夫津木 綾乃、山本 直樹、伊藤 久人、島本 亮、高尾 仁二
    • Organizer
      第62回関西胸部外科学会学術集会
    • Data Source
      KAKENHI-PROJECT-19K17559
  • [Presentation] 胸部レントゲン写真から肺体血流比を予測する回帰モデル(畳み込みニューラルネットワーク)における,精度向上の試み2019

    • Author(s)
      杉谷侑亮、鳥羽修平、大橋啓之、三谷義英
    • Organizer
      第2回日本メディカルAI学会
    • Data Source
      KAKENHI-PROJECT-19K17559
  • [Presentation] Deep learningを用いた,胸部X線写真から肺体血流比を予測する方法の開発2019

    • Author(s)
      石川廉太、鳥羽修平、三谷義英、大矢和伸、淀谷 典子、大橋啓之、澤田博文、山崎 誉斗、夫津木綾乃、小沼 武司
    • Organizer
      第55回日本小児循環器学会総会・学術集会
    • Data Source
      KAKENHI-PROJECT-19K17559
  • [Presentation] Quantitative Analysis Of Chest X-ray Using Deep Learning To Predict Pulmonary To Systemic Flow Ratio In Patients With Congenital Heart Disease2019

    • Author(s)
      Shuhei Toba, Yoshihide Mitani, Noriko Yodoya, Hiroyuki Ohashi, Hirofumi Sawada, Hidetoshi Hayakawa, Masahiro Hirayama, Ayano Fusuki, Naoki Yamamoto, Hisato Ito, Takeshi Konuma, Hideto Shimpo, Motoshi Takao
    • Organizer
      American Heart Association Scientific Sessions 2019
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K17559
  • 1.  高尾 仁二 (30263007)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 0 results
  • 2.  伊藤 久人 (40378336)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 0 results
  • 3.  中山 良平 (20402688)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 4.  金田 真吏 (30793418)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 5.  内田 克典 (60362349)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 6.  久保岡 牧子 (60832524)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 7.  山崎 誉斗 (00897754)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 8.  梅津 健太郎 (30408596)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 9.  荻原 義人 (70626572)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 10.  北川 覚也 (50378353)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 11.  土肥 薫 (50422837)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 12.  別所 早紀 (30806112)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 13.  大橋 啓之 (70397511)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 14.  澤田 博文 (30362354)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 15.  三谷 義英 (60273380)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results

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