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J-GLOBAL ID：202001018035814151   Update date: Jul. 15, 2024

Hirose Taka-aki

廣瀬 貴章 | Hirose Taka-aki
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Affiliation and department：
九州大学病院 医療技術部放射線部門

About 九州大学病院 医療技術部放射線部門


Job title： 診療放射線技師
Research theme for competitive and other funds  (3)：
  • 2022 - 2025 Development of precise radiotherapy treatment planning method using spatial imaging feature analysis
  • 2020 - 2024 深層学習を応用した肺癌放射線治療後の肺臓炎重症度予測と治療法最適化システムの開発
  • 2019 - 2022 Development of Planning Target Volume Margin Automatic Determination System
Papers (32)：
  • Taka-Aki Hirose, Masanori Takaki, Yusuke Shibayama, Jun-Ichi Fukunaga, Toyoyuki Kato, Tadamasa Yoshitake, Kousei Ishigami. Evaluation of PTV margin in CBCT-based online adaptive radiation therapy for gastric mucosa-associated lymphoid tissue lymphoma. Journal of radiation research. 2024
  • Daiki Nakanishi, Masataka Oita, Jun-Ichi Fukunaga, Taka-Aki Hirose, Tadamasa Yoshitake, Motoharu Sasaki. Investigation of uncertainty in internal target volume definition for lung stereotactic body radiotherapy. Radiological physics and technology. 2023. 16. 4. 497-505
  • Hikari Hara, Yusuke Shibayama, Jun-Ichi Fukunaga, Taka-Aki Hirose, Ryoji Matsumoto, Isao Komiya, Toyoyuki Kato. [Dosimetric Properties of Brass Mesh Bolus for High-energy Photon Beam]. Nihon Hoshasen Gijutsu Gakkai zasshi. 2023. 79. 5. 453-461
  • Inoue, Keiki, Matsukawa, Hideaki, Kasai, Yuki, Edamitsu, Kana, Matsumoto, Kazuki, Suetsugu, Yoshiki, Hirose, Taka-aki, Fukunaga, Jun-ichi, Shioyama, Yoshiyuki, Sasaki, Tomonari. Difference in target dose distributions between Acuros XB and collapsed cone convolution/superposition and the impact of the tumor locations in clinical cases of stereotactic ablative body radiotherapy for lung cancer. Journal of Cancer Research and Therapeutics. 2023. 19. 5. 1261-1266
  • Hidetaka Arimura, Takumi Kodama, Akimasa Urakami, Hidemi Kamezawa, Taka-aki Hirose, Kenta Ninomiya. 6. Imaging Biopsy for Assisting Cancer Precision Therapy -Information Extracted from Radiomics-. Japanese Journal of Radiological Technology. 2022. 78. 2. 219-224
ｍore...
MISC (9)：
  • 有村秀孝, 兒玉拓巳, 浦上暉允, 亀澤秀美, 廣瀬貴章, 二宮健太. 6. Imaging Biopsy for Assisting Cancer Precision Therapy -Information Extracted from Radiomics-. 日本放射線技術学会雑誌. 2022. 78. 2
  • 有村秀孝, 二宮健太, CUI YunHao, 廣瀬貴章. AI technologies for precision medicine in radiation therapy. 月刊Precision Medicine. 2022. 5. 1
  • M. Sasahara, H. Arimura, Y. Shibayama, T. Hirose, S. Ohga, Y. Umezu, H. Honda, T. Sasaki. Automatic Target-Based Patient Positioning Framework for Image-Guided Radiotherapy in Prostate Cancer Treatment. MEDICAL PHYSICS. 2016. 43. 6. 3413-3413
  • T. Hirose, H. Arimura, Y. Shibayama, J. Fukunaga, Y. Umezu, S. Oga, T. Sasaki. Impact of PTV Margins With Taking Into Account Shape Variation On IMRT Plans For Prostate Cancer. MEDICAL PHYSICS. 2016. 43. 6. 3553-3554
  • SOUFI Mazen, ARIMURA Hidetaka, NAKAMURA Katsumasa, HIROSE Taka-aki, UMEDU Yoshiyuki, SHIOYAMA Yoshiyuki, TOYOFUKU Fukai. Range-Image Guided System for Monitoring Intra-Fractional Setup Errors of Head and Neck Cancer Patients by Using an Infrared Ray Based Time-of-Flight Camera (Medical Imaging). IEICE technical report. 2014. 114. 103. 47-52
ｍore...
Books (3)：
  • 「実践IGRT」日本放射線技術学会叢書40
    2023
  • 放射線治療技術学
    南山堂 2022 ISBN:9784525279615
  • レディオミクス入門
    オーム社 2021 ISBN:9784274226380
Lectures and oral presentations  (19)：
  • 放射線治療領域における公開データベースの活用
    (第80回日本放射線技術学会総会学術大会 2024)
  • 放射線治療の臨床研究で必要なデータサイエンス
    (医用量子線データサイエンティストコース講演会 2024)
  • 放射線治療を支援する人工知能
    (全国国立大学放射線技師会 第6回学術サミット研修会 2024)
  • ARTにおけるマージン設定
    (RapidCom User's Webinar 2023)
  • 放射線治療のワークフローの未来
    (第18回九州放射線医療技術学術大会 2023)
ｍore...
Education (2)：
  • 2016 - 2019 九州大学大学院 医学系学府保健学専攻博士後期課程
  • 2004 - 2008 九州大学医学部保健学科放射線技術科学専攻
Professional career (1)：
  • Ph.D. (Health Science) (Kyushu University)
Work history (1)：
  • 2008/04 - 現在 九州大学病院
Committee career (3)：
  • 2024/06 - 現在 日本医学物理学会 医学物理士委員会 委員
  • 2021/04 - 現在 日本放射線技術学会 放射線治療部会 委員
  • 2018/04 - 2020/04 医学物理士認定機構 広報委員会 委員
Awards (2)：
  • 2021/09 - The 9th Korea-Japan Joint Meeting on Medical Physics, KJMP2021,Virtual Meeting Young Investigator Award Pretreatment Prediction of Radiation Pneumonitis Based on Deep Transfer Learning after Lung Cancer Stereotactic Body Radiation Therapy
  • 2021/04 - The 77th Annual Meeting of the Japanese Society of Radiological Technology (JSRT, Yokohama) Bronze Award, "Deep Learning-Based Prediction of Radiation Pneumonitis after Lung Cancer Stereotactic Body Radiation Therapy", The 77th Annual Meeting of the Japanese Society of Radiological Technology (JSRT, Yokohama)
※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.

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