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Takahashi Satoshi  高橋 慧

ORCIDConnect your ORCID iD *help
Researcher Number 00852120
Affiliation (Current) 2025: 国立研究開発法人理化学研究所, 革新知能統合研究センター, 上級研究員
Affiliation (based on the past Project Information) *help 2021 – 2024: 国立研究開発法人理化学研究所, 革新知能統合研究センター, 研究員
2020: 国立研究開発法人理化学研究所, 革新知能統合研究センター, 特別研究員
Review Section/Research Field
Principal Investigator
Basic Section 56010:Neurosurgery-related
Except Principal Investigator
Basic Section 56010:Neurosurgery-related
Keywords
Principal Investigator
神経膠腫 / Glioma / Radiomics / MRI / 機械学習モデル / IDH変異 / 深層生成モデル / 脳腫瘍 / Deep generative model / radiogenomics … More / CycleGAN / radiomics / 医療用画像 / domain shift / 機械学習 / Domain shift / Deep learning / Radiogenomics / glioma / 深層学習 … More
Except Principal Investigator
解剖 / 画像認識 / 人工知能 / segmentation / 3D画像 / 脳神経外科手術 / auto-detection / deep learning / simulation / virtual reality / 3D / 手術シミュレーション / 機械学習 / AI / 3D virtual reality image Less
  • Research Projects

    (3 results)
  • Research Products

    (22 results)
  • Co-Researchers

    (7 People)
  •  深層生成モデルを応用した強い汎化性能を持ったradiomics解析方法の開発Principal Investigator

    • Principal Investigator
      高橋 慧
    • Project Period (FY)
      2022 – 2024
    • Research Category
      Grant-in-Aid for Early-Career Scientists
    • Review Section
      Basic Section 56010:Neurosurgery-related
    • Research Institution
      Institute of Physical and Chemical Research
  •  術者の“4次元的思考”をサポートする人工知能搭載脳神経外科手術支援システムの開発

    • Principal Investigator
      辛 正廣
    • Project Period (FY)
      2022 – 2025
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Review Section
      Basic Section 56010:Neurosurgery-related
    • Research Institution
      Teikyo University
  •  Radiomics in gliomaPrincipal Investigator

    • Principal Investigator
      Takahashi Satoshi
    • Project Period (FY)
      2020 – 2021
    • Research Category
      Grant-in-Aid for Early-Career Scientists
    • Review Section
      Basic Section 56010:Neurosurgery-related
    • Research Institution
      Institute of Physical and Chemical Research

All 2023 2022 2021 2020 2007 Other

All Journal Article Presentation Book Other

  • [Book] アロスエルゴン Vol.1 No.3 AIの入門から応用、将来の展望ー医療の現場に進出するAIに対処するために2021

    • Author(s)
      鎌谷直之、田中順治、冨田桂公、高橋 慧、高橋雅道、岩藤和広、佐野元昭、猪俣武範、國吉保孝、福永 淳、松根彰志、安藤智暁、柳  裕一郎
    • Total Pages
      128
    • Publisher
      クリニコ出版
    • ISBN
      9784910396187
    • Data Source
      KAKENHI-PROJECT-20K17982
  • [Journal Article] Assessing Versatile Machine Learning Models for Glioma Radiogenomic Studies across Hospitals2021

    • Author(s)
      Kawaguchi Risa K.、Takahashi Masamichi、Miyake Mototaka、Kinoshita Manabu、Takahashi Satoshi、Ichimura Koichi、Hamamoto Ryuji、Narita Yoshitaka、Sese Jun
    • Journal Title

      Cancers

      Volume: 13 Issue: 14 Pages: 3611-3611

    • DOI

      10.3390/cancers13143611

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-19K08216, KAKENHI-PROJECT-20K17982
  • [Journal Article] A New Era of Neuro-Oncology Research Pioneered by Multi-Omics Analysis and Machine Learning2021

    • Author(s)
      Takahashi Satoshi、Takahashi Masamichi、Tanaka Shota、Takayanagi Shunsaku、Takami Hirokazu、Yamazawa Erika、Nambu Shohei、Miyake Mototaka、Satomi Kaishi、Ichimura Koichi、Narita Yoshitaka、Hamamoto Ryuji
    • Journal Title

      Biomolecules

      Volume: 11 Issue: 4 Pages: 565-565

    • DOI

      10.3390/biom11040565

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-20K17982, KAKENHI-PROJECT-19K08216
  • [Journal Article] Predicting Deep Learning Based Multi-Omics Parallel Integration Survival Subtypes in Lung Cancer Using Reverse Phase Protein Array Data2020

    • Author(s)
      Takahashi Satoshi、Asada Ken、Takasawa Ken、Shimoyama Ryo、Sakai Akira、Bolatkan Amina、Shinkai Norio、Kobayashi Kazuma、Komatsu Masaaki、Kaneko Syuzo、Sese Jun、Hamamoto Ryuji
    • Journal Title

      Biomolecules

      Volume: 10 Issue: 10 Pages: 1460-1460

    • DOI

      10.3390/biom10101460

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-20K17982, KAKENHI-PROJECT-18K05550, KAKENHI-PROJECT-18K11542
  • [Journal Article] 目次2007

    • Author(s)
      高橋 慧、高橋雅道、河野伸次、高澤建、田中 將太、辛 正廣、成田 善孝、浜本隆二
    • Journal Title

      Japanese Journal of Neurosurgery

      Volume: 16 Issue: 12 Pages: Cover11

    • DOI

      10.7887/jcns.16.Cover11

    • NAID

      130006820182

    • ISSN
      0917-950X, 2187-3100
    • Language
      Japanese
    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-22K16700
  • [Presentation] Visual transformer モデルを用いたIDH変異予測モデルの多施設性能比較試験2023

    • Author(s)
      高橋 慧
    • Organizer
      第41回日本脳腫瘍学会
    • Data Source
      KAKENHI-PROJECT-22K16700
  • [Presentation] Robustness and Explainability of Visual Transformers and Convolutional Neural Networks in Glioma Radiogenomics Tasks2023

    • Author(s)
      高橋 慧
    • Organizer
      第82回日本癌学会学術総会
    • Data Source
      KAKENHI-PROJECT-22K16700
  • [Presentation] MRIより神経膠腫のIDH変異を予測する2つの深層学習モデルの多施設性能比較試験2023

    • Author(s)
      高橋 慧
    • Organizer
      第82回日本脳神経外科学会総会
    • Data Source
      KAKENHI-PROJECT-22K16700
  • [Presentation] CycleGAN can be a solution to develop robust IDH mutation predicting model.2022

    • Author(s)
      高橋 慧
    • Organizer
      第81回日本癌学会学術総会
    • Data Source
      KAKENHI-PROJECT-22K16700
  • [Presentation] 深層生成モデルのRadiogenomicsへの応用2022

    • Author(s)
      高橋 慧
    • Organizer
      第40回日本脳腫瘍学会学術集会
    • Data Source
      KAKENHI-PROJECT-22K16700
  • [Presentation] 多施設で運用可能なMRIを用いた脳腫瘍遺伝子診断装置開発のための初期検討 -施設間画像差の可視化-2022

    • Author(s)
      高橋 慧
    • Organizer
      第4回日本メディカルAI学会学術集会
    • Data Source
      KAKENHI-PROJECT-22K16700
  • [Presentation] 多施設で運用可能なMRIを用いた脳腫瘍遺伝子診断装置開発のためのCycle GANの応用可能性2022

    • Author(s)
      高橋 慧
    • Organizer
      日本脳神経外科学会 第81回学術総会
    • Data Source
      KAKENHI-PROJECT-22K16700
  • [Presentation] Initial Result of Develop Robust Deep Learning Model for Detecting Genomic Status in Gliomas Against Image Differences among Facilities2021

    • Author(s)
      Satoshi Takahashi
    • Organizer
      SNO 20222 Anual meeting
    • Data Source
      KAKENHI-PROJECT-20K17982
  • [Presentation] 多施設間の画像差に対して頑強なセグメンテーション方法の開発2021

    • Author(s)
      高橋 慧
    • Organizer
      第3回日本メディカルAI学会学術総会
    • Data Source
      KAKENHI-PROJECT-20K17982
  • [Presentation] ドメインシフトによる性能の低下に耐えうる脳腫瘍領域の自動segmentation法の開発2021

    • Author(s)
      高橋 慧
    • Organizer
      生命医薬情報学連合大会
    • Data Source
      KAKENHI-PROJECT-20K17982
  • [Presentation] Development of an automatic segmentation machine learning model for brain tumor MR images that can be used at multiple domains2021

    • Author(s)
      Satoshi Takahashi
    • Organizer
      JCA-AACR joint meeting
    • Data Source
      KAKENHI-PROJECT-20K17982
  • [Presentation] Initial Investigation to Developing Robust Deep Learning Model Against Image Differences among Facilities2021

    • Author(s)
      高橋 慧
    • Organizer
      第59回癌治療学会
    • Data Source
      KAKENHI-PROJECT-20K17982
  • [Presentation] 多施設にて適応可能な頑強なMRIを用いた遺伝子 診断方法の為の初期検討2021

    • Author(s)
      高橋 慧
    • Organizer
      脳神経外科学会学術総会
    • Data Source
      KAKENHI-PROJECT-20K17982
  • [Presentation] 多施設間の画像差を埋めるFine-tuning方法の開発2020

    • Author(s)
      高橋 慧
    • Organizer
      第79回日本癌学会学術総会
    • Data Source
      KAKENHI-PROJECT-20K17982
  • [Presentation] Developing automatic segmentation method for brain tumor MR images that can be used at multiple facilities2020

    • Author(s)
      Takahashi Satoshi、Takahashi Masamichi、Hamamoto Ryuji et.al.
    • Organizer
      2020 SNO Annual Meeting
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20K17982
  • [Presentation] 多施設にて使用可能な脳腫瘍領域の自動segmentation法の開発2020

    • Author(s)
      高橋 慧
    • Organizer
      日本脳神経外科学会第79回学術総会
    • Data Source
      KAKENHI-PROJECT-20K17982
  • []

  • 1.  辛 正廣 (70302726)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 2.  後藤 芳明 (10933608)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 3.  金 太一 (90447392)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 4.  宇野 健志 (90459397)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 5.  新谷 祐貴 (20844616)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 6.  三宅 基隆
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 1 results
  • 7.  向井 まさみ
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 1 results

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