Rchr
J-GLOBAL ID:201801006958663370   Update date: Jun. 16, 2024

Umehara Kensuke

Umehara Kensuke
Affiliation and department:
Job title: Senior Researcher
Other affiliations (2):
Homepage URL  (2): https://nrid.nii.ac.jp/ja/nrid/1000090825077/https://scholar.google.co.jp/citations?user=YPh342kAAAAJ
Research field  (4): Medical systems ,  Radiology ,  Quantum beam science ,  Radiology
Research keywords  (11): AIイメージング ,  超解像 ,  ディープラーニング ,  深層学習 ,  医用画像処理 ,  人工知能 ,  医用画像解析 ,  機械学習 ,  コンピュータ支援診断 ,  MRI ,  重粒子線治療
Research theme for competitive and other funds  (7):
  • 2023 - 2027 Augmented Intelligence for Breaking the "50 Millisecond Barrier" of Temporal Resolution in Cardiac CT Imaging
  • 2022 - 2026 Transformer-empowered medical AI imaging: a proof-of-concept study
  • 2019 - 2023 AIイメージングを基盤とした次世代型MRI超高速撮像の実現と臨床応用
  • 2019 - 2020 次世代型超高速撮像MRI 実現に向けた画像特性に基づく新規AIイメージング技術の開発
  • 2018 - 2020 Artificial intelligence aided clinical decision support system for heavy-ion radiotherapy in non-small cell lung cancer
Show all
Papers (31):
  • Hisateru Ohba, Yoshihiro Nakada, Hodaka Numasaki, Kensuke Umehara, Junko Ota, Yasuo Okuda, Teruki Teshima, Kazuhiko Ogawa, Katsumasa Nakamura. A JROD survey: nationwide overview of radiotherapy data from 2015 to 2021. Journal of radiation research. 2023
  • Hitoshi Ishikawa, Takeshi Arimura, Kazushi Maruo, Hidemasa Kawamura, Shingo Toyama, Takashi Ogino, Tomoaki Okimoto, Masao Murakami, Yoshitaka Sato, Kentaro Nishioka, et al. A Japanese registry study and systematic review of particle therapy for renal cell carcinoma. Journal of Radiation Research. 2023. 64. Supplement_1. i41-i48
  • Tatsuya Nishii, Takuma Kobayashi, Tatsuya Saito, Akiyuki Kotoku, Yasutoshi Ohta, Satoshi Kitahara, Kensuke Umehara, Junko Ota, Hiroki Horinouchi, Yoshiaki Morita, et al. Deep Learning-based Post Hoc CT Denoising for the Coronary Perivascular Fat Attenuation Index. Academic radiology. 2023. 30. 11. 2505-2513
  • Wataru Ueki, Tatsuya Nishii, Kensuke Umehara, Junko Ota, Satoshi Higuchi, Yasutoshi Ohta, Yasuhiro Nagai, Keizo Murakawa, Takayuki Ishida, Tetsuya Fukuda. Generative adversarial network-based post-processed image super-resolution technology for accelerating brain MRI: comparison with compressed sensing. Acta radiologica (Stockholm, Sweden : 1987). 2023. 64. 1. 336-345
  • Takuma Kobayashi, Tatsuya Nishii, Kensuke Umehara, Junko Ota, Yasutoshi Ohta, Tetsuya Fukuda, Takayuki Ishida. Deep learning-based noise reduction for coronary CT angiography: using four-dimensional noise-reduction images as the ground truth. Acta radiologica (Stockholm, Sweden : 1987). 2022. 2841851221141656-2841851221141656
more...
MISC (15):
more...
Patents (1):
Lectures and oral presentations  (18):
  • 情報処理と医療情報
    (放射線医学総合研究所 第16回医学物理コース(WebEx) 2020)
  • AIイメージングは新たなモダリティになり得るか:現状と将来展望
    (第76回日本放射線技術学会総会学術大会(JRC2020web) 2020)
  • 放射線医学におけるAIイメージング
    (日本光学会 第4回AI Optics研究会(オンライン開催) 2020)
  • 敵対的生成ネットワークを用いたAIイメージングによるMRI高速撮像の基礎的検討
    (第47回日本放射線技術学会秋季学術大会 2019)
  • ディープラーニングを用いた課題時fMRIの高精度化に向けた初期的検討
    (第47回日本放射線技術学会秋季学術大会 2019)
more...
Education (1):
  • - 2018 Osaka University Graduate School of Medicine
Professional career (1):
  • Ph.D. (Osaka University)
Work history (11):
  • 2021/07 - 現在 National Institutes for Quantum and Radiological Science and Technology Senior Researcher
  • 2021/04 - 現在 National Institutes for Quantum and Radiological Science and Technology Applied MRI Research, Department of Molecular Imaging and Theranostics, Institute for Quantum Medical Science
  • 2021/04 - 現在 National Institutes for Quantum and Radiological Science and Technology Medical Informatics Section, Department of Medical Technology, QST Hospital
  • 2018/10 - 現在 Osaka University Graduate School of Medicine Visiting Faculty Member
  • 2021/04 - 2023/03 National Institutes for Quantum and Radiological Science and Technology Quantum-medicine AI Research Group, QST Advanced Study Laboratory
Show all
Committee career (2):
  • 2024/04 - 現在 日本放射線技術学会 次世代データサイエンス推進特別委員会 委員
  • 2020/04 - 現在 重粒子線治療多施設共同臨床研究組織(J-CROS) データセンター委員
Awards (6):
  • 2023/11 - Radiological Society of North America 2023 Certificate of Merit Award (Beyond the Hype: The Power of GANs in Restoring MRI Texture)
  • 2019/12 - Radiological Society of North America 2019 Cum Laude Award(Artificial Intelligence-Driven Imaging for Ultra-Fast MRI: Cutting-Edge Technology and Clinical Application)
  • 2017/11 - Radiological Society of North America 2017 Certificate of Merit Award (Lead author)
  • 2017/11 - Roadie 2017 Award (Women's Informatics)
  • 2017/11 - Radiological Society of North America 2017 Certificate of Merit Award (Co-author)
Show all
Association Membership(s) (6):
IEEE ,  SPIE ,  MEDICAL IMAGING AND INFORMATION SCIENCES ,  THE JAPANESE SOCIETY OF MEDICAL IMAGING TECHNOLOGY ,  JAPANESE SOCIETY OF RADIOLOGICAL TECHNOLOGY ,  北米放射線学会
※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.

Return to Previous Page