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J-GLOBAL ID:201501011677390619   Update date: Apr. 18, 2024

Fujima Noriyuki

フジマ ノリユキ | Fujima Noriyuki
Affiliation and department:
Research field  (2): Radiology ,  Oral medicine (pathology)
Research keywords  (13): MRI ,  腫瘍血流 ,  癌 ,  磁気共鳴画像 ,  解析学 ,  頭頸部扁平上皮癌 ,  画像 ,  頭頸部腫瘍 ,  腫瘍増殖能 ,  低酸素 ,  頭頸部癌 ,  拡散強調像 ,  QSI
Research theme for competitive and other funds  (7):
  • 2021 - 2024 頭頸部癌の個別化医療に向けた腫瘍特性の非侵襲的画像化と人工知能解析の融合
  • 2018 - 2021 Development of the prognosis prediction model in patients with head and neck cancer using tumor biological characteristics-reflected MRI data and the artificial intelligence-based analysis
  • 2015 - 2018 Development of the prognosis prediction method using treatment response mapping obtained by MRI for head and neck squamous cell carcinoma patients
  • 2014 - 2017 Development of Quantitative Cerebral Blood Flow and Oxygen Metabolism using O-17 Water and Oxygen Molecules
  • 2013 - 2017 Development of MR microscope for the squamous carcinoma in the oral cavity
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Papers (120):
  • Haruto Uchino, Masaki Ito, Noriyuki Fujima, Kikutaro Tokairin, Ryota Tatezawa, Taku Sugiyama, Miki Fujimura. Predictive value of the hemispheric magnetic resonance angiography score on the development of indirect pial synangiosis after combined revascularization surgery for adult moyamoya disease. Acta neurochirurgica. 2024. 166. 1. 181-181
  • Satoru Aono, Satonori Tsuneta, Noriko Nishioka, Takuya Aoike, Hiroyuki Hirayama, Kinya Ishizaka, Jihun Kwon, Masami Yoneyama, Noriyuki Fujima, Kohsuke Kudo. Comparison of Echo-Planar Imaging and Compressed Sensing in the Estimation of Flow Metrics from Aortic 4D Flow MR Imaging: A Healthy Volunteer Study. Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine. 2024
  • Takeshi Nakaura, Rintaro Ito, Daiju Ueda, Taiki Nozaki, Yasutaka Fushimi, Yusuke Matsui, Masahiro Yanagawa, Akira Yamada, Takahiro Tsuboyama, Noriyuki Fujima, et al. The impact of large language models on radiology: a guide for radiologists on the latest innovations in AI. Japanese journal of radiology. 2024
  • Ryosuke Sawaya, Shigeru Yamaguchi, Yukitomo Ishi, Michinari Okamoto, Sumire Echizenya, Hiroaki Motegi, Noriyuki Fujima, Miki Fujimura. Increased CD44 expression in primary meningioma: its clinical significance and association with peritumoral brain edema. Journal of neurosurgery. 2024. 1-8
  • Noriyuki Fujima, Junichi Nakagawa, Yohei Ikebe, Hiroyuki Kameda, Taisuke Harada, Yukie Shimizu, Nayuta Tsushima, Satoshi Kano, Akihiro Homma, Jihun Kwon, et al. Improved image quality in contrast-enhanced 3D-T1 weighted sequence by compressed sensing-based deep-learning reconstruction for the evaluation of head and neck. Magnetic resonance imaging. 2024. 108. 111-115
more...
MISC (126):
  • 藤間 憲幸. 気管食道科領域の画像・AI診断 頸部-気管食道領域の画像診断最前線. 日本気管食道科学会会報. 2023. 74. 2. 197-197
  • 藤間 憲幸. 【脊椎脊髄の先進的なMRI検査や解析】脊髄のSWI,造影MRA. 脊椎脊髄ジャーナル. 2023. 35. 10. 695-700
  • 藤間 憲幸. 最新アプリケーションがもたらす臨床インパクト 頭部・頭頸部. 映像情報Medical. 2022. 54. 14. 77-82
  • 林 哲司, 浜口 明巧, 藤間 憲幸, 原田 太以佑. Arterial Spin Labelingを用いた短時間Functional MRIの検討. JART: 日本診療放射線技師会誌. 2022. 69. 9. 1013-1013
  • 中川 純一, 藤間 憲幸. 【絶対苦手分野にしない 頭蓋底周辺の画像診断】頭蓋底周辺の悪性腫瘍. 臨床画像. 2022. 38. 9. 1002-1012
more...
Professional career (1):
  • 博士(医学) (北海道大学)
Work history (1):
  • 2020/07 - 現在 Hokkaido University
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