Rchr
J-GLOBAL ID：201801015614121764   Update date: Jan. 31, 2024

Arimura Hidetaka

Arimura Hidetaka
Affiliation and department：
Kyushu University Faculty of Medical Sciences

About Kyushu University Faculty of Medical Sciences


Research field  (3)： Biomedical engineering ,  Medical systems ,  Radiology
Research keywords  (5)： radiomics ,  pattern recognition ,  medical physics ,  image processing ,  image analysis
Research theme for competitive and other funds  (22)：
  • 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
  • 2020 - 2023 鼻副鼻腔乳頭腫由来癌の癌化予測法確立と予測因子の網羅的解析
  • 2020 - 2023 遺伝子変異検出から予後予測へつなぐ画像生検の開発
  • 2019 - 2022 Development of multidisciplinary treatment algorism by integrating carbon ion radiotherapy and deep learning to overcome pancreatic cancer
  • 2017 - 2020 Development and evaluation of an algorithm to analyze the heterogeneity of molecular images
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Papers (154)：
  • Mai Egashira, Hidetaka Arimura, Kazuma Kobayashi, Kazutoshi Moriyama, Takumi Kodama, Tomoki Tokuda, Kenta Ninomiya, Hiroyuki Okamoto, Hiroshi Igaki. Magnetic resonance-based imaging biopsy with signatures including topological Betti number features for prediction of primary brain metastatic sites. Physical and Engineering Sciences in Medicine. 2023
  • Yunhao Cui, Hidetaka Arimura, Tadamasa Yoshitake, Yoshiyuki Shioyama, Hidetake Yabuuchi. Deep learning model fusion improves lung tumor segmentation accuracy across variable training-to-test dataset ratios. Physical and Engineering Sciences in Medicine. 2023
  • Kojiro Ikushima, Hidetaka Arimura, Ryuji Yasumatsu, Hidemi Kamezawa, Kenta Ninomiya. Topology-based radiomic features for prediction of parotid gland cancer malignancy grade in magnetic resonance images. Magnetic Resonance Materials in Physics, Biology and Medicine. 2023. 36. 5. 767-777
  • Yu Jin, Hidetaka Arimura, YunHao Cui, Takumi Kodama, Shinichi Mizuno, Satoshi Ansai. CT Image-Based Biopsy to Aid Prediction of HOPX Expression Status and Prognosis for Non-Small Cell Lung Cancer Patients. Cancers. 2023. 15. 8. 2220-2220
  • Kenta Ninomiya, Hidetaka Arimura, Kentaro Tanaka, Wai Yee Chan, Yutaro Kabata, Shinichi Mizuno, Nadia Fareeda Muhammad Gowdh, Nur Adura Yaakup, Chong-Kin Liam, Chee-Shee Chai, et al. Three-dimensional topological radiogenomics of epidermal growth factor receptor Del19 and L858R mutation subtypes on computed tomography images of lung cancer patients. Computer Methods and Programs in Biomedicine. 2023. 107544-107544
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MISC (149)：
  • 有村秀孝. 医療へのレディオミクスAIの貢献. 医歯薬出版週刊医学のあゆみ. 2022. 282. 11. 1033-1038
  • 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
  • 廣瀬貴章, 有村秀孝, 二宮健太, 吉武忠正, 福永淳一, 塩山善之. Radiomics-Based Radiation Pneumonitis Prediction on Pretreatment Planning Computed Tomography Images Prior to Lung Cancer Stereotactic Body Radiation Therapy. 医用画像情報学会雑誌(Web). 2021. 38. 2
  • QUOC Le Cuong, 有村秀孝, 二宮健太, 亀澤秀美, 加葉田雄太朗. A radiomics-based prediction of five-year survival probabilities of head- and -neck cancer patients. 日本放射線腫瘍学会高精度放射線外部照射部会学術大会プログラム・抄録集. 2020. 33rd
  • Potentials of radiomics with AI in clinical practice of radiotherapy. 2019. 64. 8. 1029-1034
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Patents (6)：
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Books (10)：
  • レディオミクス入門
    オーム社 2021 ISBN:9784274226380
  • 放射線治療AIと外科治療AI
    オーム社 2020 ISBN:9784274225475
  • 画像・情報処理(編著:尾川浩一)
    国際文献社 2018
  • 医用画像情報工学
    医歯薬出版 2018 ISBN:9784263206485
  • Image-Based Computer-Assisted Radiation Therapy
    Springer 2017
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Lectures and oral presentations  (13)：
  • Issues in AI (Parallel Workshop: ACOMP Series, Artificial Intelligent)
    (21th SEACOMP& 6th PIT-FMB 2023)
  • Topological Radiomics of Explainable AI
    (21th SEACOMP& 6th PIT-FMB 2023)
  • 癌治療におけるAIの展開 ーレディオミクスから未来予測ー
    (日本歯科放射線学会第63回学術大会 2023)
  • 画像診断技術の覧古考新:x2ai2x
    (第125回日本医学物理学会学術大会(合同シンポジウム) 2023)
  • Mathematical characterization of cancer in imaging biopsy
    (22nd Asia-Oceania Congress on Medical Physics (AOCMP Hybrid Congress Taipei) 2022)
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Education (1)：
  • 1993 - 1996 Kyoto Institute of Technology Graduate School of Science and Technology PhD in Engineering
Professional career (1)：
  • PhD in Engineering (Kyoto Institute of Technology)
Work history (6)：
  • 2015/04 - 現在 Kyushu University Faculty of Medical Sciences Professor
  • 2004/04 - 2015/03 Kyushu University Faculty of Medical Sciences Associate Professor
  • 2002/09 - 2004/03 The University of Chicago Department of Radiology Research Associate
  • 1998/04 - 2002/08 Hiroshima International University Lecturer
  • 1996/06 - 1998/03 Tokyo Women’s Medical University Research Associate
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Committee career (8)：
  • 2023/06 - 現在 医用画像情報学会(MII) 会長
  • 2022/04 - 現在 日本医用画像工学会(JAMIT) 代議員
  • 2021/04 - 現在 日本医学物理士認定機構(JBMP) 教育委員
  • 2020/04 - 現在 Journal of Radiation Research Associate Editor
  • 2012/04 - 現在 日本医学物理学会(JSMP) 代議員
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Awards (44)：
  • 2022/12 - 22nd Asia-Oceania Congress on Medical Physics (AOCMP 2022, Taipei Hybrid conference) Best Student Award "Noninvasive Prediction of Myocardial Ischemia Based on Fractional Flow Reserve Derived from Coronary Computed Tomography"
  • 2022/11 - Highly Cited Award "Radiomics with artificial intelligence for precision medicine in radiation therapy"
  • 2021/10 - 第40回日本医用画像工学会大会, オンライン開催 第40回日本医用画像工学会大会奨励賞 "体幹部定位放射線治療を受けた非小細胞肺癌患者における癌の進行予測のためのレディオミクス解析"
  • 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"
  • 2021/06 - Medical Imaging and Information Sciences Best Paper Award "Preoperative and Non-Invasive Approach for Radiomic Biomarker-Based Prediction of Malignancy Grades in Patients with Parotid Gland Cancer in Magnetic Resonance Images"
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