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Inoue Tatsuya  井上 達也

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井上 達也  イノウエ タツヤ

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Researcher Number 00733362
Other IDs
Affiliation (Current) 2025: 順天堂大学, 医学部, 助教
Affiliation (based on the past Project Information) *help 2022 – 2023: 順天堂大学, 医学部, 助教
2020: 順天堂大学, 医学部, 助教
2017 – 2019: 順天堂大学, 医学部, 助手
Review Section/Research Field
Principal Investigator
Basic Section 52040:Radiological sciences-related / Radiation science
Keywords
Principal Investigator
放射線治療 / 予後予測 / 深層学習 / 線量分布 / 因果探索 / 因果推論 / 生成CT画像 / 治療効果予測 / 敵対的生成ネットワーク / 深層特徴量 … More / 機械学習 / マルチタスク学習 / マルチモーダル学習 / 人工知能 / Radiomics / 多項カオス展開 / 不確かさ / ロバスト性 / 線量不確かさ / セットアップエラー / 放射線治療計画 / 評価ツール / 治療計画の頑健性 / 線量の不確かさ / 照射位置誤差 Less
  • Research Projects

    (3 results)
  • Research Products

    (8 results)
  •  放射線治療と予後との因果を推論・探索する先駆的人工知能モデルの開発Principal Investigator

    • Principal Investigator
      井上 達也
    • Project Period (FY)
      2022 – 2024
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 52040:Radiological sciences-related
    • Research Institution
      Juntendo University
  •  Deep learning-based prognosis prediction in cancer patientsPrincipal Investigator

    • Principal Investigator
      Inoue Tatsuya
    • Project Period (FY)
      2019 – 2020
    • Research Category
      Grant-in-Aid for Early-Career Scientists
    • Review Section
      Basic Section 52040:Radiological sciences-related
    • Research Institution
      Juntendo University
  •  Development of a quantification tool for plan robustness of radiotherapyPrincipal Investigator

    • Principal Investigator
      Inoue Tatsuya
    • Project Period (FY)
      2017 – 2018
    • Research Category
      Grant-in-Aid for Young Scientists (B)
    • Research Field
      Radiation science
    • Research Institution
      Juntendo University

All 2023 2022 2020 2019 2018

All Journal Article Presentation

  • [Journal Article] Dosimetric investigation of whole-brain radiotherapy with helical intensity modulated radiation therapy and volumetric modulated arc therapy for scalp sparing2023

    • Author(s)
      Shirata Ryosuke、Inoue Tatsuya、Sugimoto Satoru、Saito Anneyuko I、Omura Motoko、Minagawa Yumiko、Sasai Keisuke
    • Journal Title

      BJR|Open

      Volume: 5 Issue: 1

    • DOI

      10.1259/bjro.20220037

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-22K07676
  • [Journal Article] Comparing Efficacy Between Robust and PTV Margin-based Optimizations for Interfractional Anatomical Variations in Prostate Tomotherapy2023

    • Author(s)
      YAGIHASHI TAKAYUKI、INOUE TATSUYA、SHIBA SHINTARO、YAMANO AKIHIRO、YAMANAKA MASASHI、SATO NAOKI、INOUE KAZUMASA、OMURA MOTOKO、NAGATA HIRONORI
    • Journal Title

      In Vivo

      Volume: 38 Issue: 1 Pages: 409-417

    • DOI

      10.21873/invivo.13453

    • Data Source
      KAKENHI-PROJECT-22K07676
  • [Journal Article] Impact of delivery time factor on treatment time and plan quality in tomotherapy2023

    • Author(s)
      Yagihashi Takayuki、Inoue Tatsuya、Shiba Shintaro、Yamano Akihiro、Minagawa Yumiko、Omura Motoko、Inoue Kazumasa、Nagata Hironori
    • Journal Title

      Scientific Reports

      Volume: 13 Issue: 1 Pages: 12207-12207

    • DOI

      10.1038/s41598-023-39047-z

    • Data Source
      KAKENHI-PROJECT-22K07676
  • [Journal Article] Effectiveness of robust optimization against geometric uncertainties in TomoHelical planning for prostate cancer2022

    • Author(s)
      Yagihashi Takayuki、Inoue Kazumasa、Nagata Hironori、Yamanaka Masashi、Yamano Akihiro、Suzuki Shunsuke、Yamakabe Wataru、Sato Naoki、Omura Motoko、Inoue Tatsuya
    • Journal Title

      Journal of Applied Clinical Medical Physics

      Volume: 24 Issue: 4

    • DOI

      10.1002/acm2.13881

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-22K07676
  • [Presentation] Prediction of distant metastasis in patients with head and neck cancer by multimodal deep learning from pretreatment PET/CT images2020

    • Author(s)
      井上達也
    • Organizer
      日本放射線腫瘍学会第33回学術大会
    • Data Source
      KAKENHI-PROJECT-19K17208
  • [Presentation] Exploratory study of important radiomics features for two-year survival classification model of non-small cell lung cancer patients2019

    • Author(s)
      井上達也
    • Organizer
      第117回日本医学物理学会
    • Data Source
      KAKENHI-PROJECT-19K17208
  • [Presentation] ノイズ画像を用いた深層学習によるMVCT画像の画質改善2019

    • Author(s)
      井上達也
    • Organizer
      日本放射線腫瘍学会第32回学術大会
    • Data Source
      KAKENHI-PROJECT-19K17208
  • [Presentation] 非小細胞肺癌患者の2年生存予測モデルにdelta-radiomicsが与える影響2018

    • Author(s)
      井上達也
    • Organizer
      日本放射線腫瘍学会第31回学術大会
    • Data Source
      KAKENHI-PROJECT-17K16485

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