Rchr
J-GLOBAL ID:201301088448768061   Update date: Jan. 17, 2022

Sugimori Hiroyuki

Sugimori Hiroyuki
Affiliation and department:
Job title: Associate Professor
Homepage URL  (1): http://www.mia-lab.com/
Research field  (2): Medical systems ,  Radiology
Research keywords  (4): medical AI ,  Medical image analysis ,  Artificial Intelligence ,  magnetic resonance imaging
Research theme for competitive and other funds  (8):
  • 2021 - 2026 Multiple advanced video analysis to elucidate the 'complexity' of microsurgery
  • 2021 - 2024 Multi-scale Imaging of Water Molecules using MRI and Isotope Microscope
  • 2021 - 2024 AI技術によるインスリン自己注射管理指導のためのエコーシステムの開発
  • 2021 - 2024 脳虚血性病変におけるAIとRadiomics解析を融合した予後予測方法の開発
  • 2020 - 2023 易傷害性肝グラフトの至適体外灌流法と非侵襲的グラフト機能評価法の開発
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Papers (70):
  • Kenji Hirata, Hiroyuki Sugimori, Noriyuki Fujima, Takuya Toyonaga, Kohsuke Kudo. Artificial intelligence for nuclear medicine in oncology. Annals of nuclear medicine. 2022
  • Hiroyuki Sugimori, Hiroyuki Kameda, Taisuke Harada, Kinya Ishizaka, Masayoshi Kajiyama, Tasuku Kimura, Niki Udo, Masaaki Matsushima, Azusa Nagai, Masahiro Wakita, et al. Quantitative magnetic resonance imaging for evaluating of the cerebrospinal fluid kinetics with 17O-labeled water tracer: A preliminary report. Magnetic resonance imaging. 2021
  • Yusuke Asami, Takaaki Yoshimura, Keisuke Manabe, Tomonari Yamada, Hiroyuki Sugimori. Development of Detection and Volumetric Methods for the Triceps of the Lower Leg Using Magnetic Resonance Images with Deep Learning. Applied Sciences. 2021
  • Daisuke Oura, Riku Ihara, Eiichirou Myo, Shinpei Sato, Hiroyuki Sugimori. Construction of super-rapid brain MRA using oblique transverse acquisition phase contrast angiography with tilted optimized non-saturated excitation pulse. Magnetic resonance imaging. 2021. 85. 193-201
  • Shota Ichikawa, Misaki Hamada, Hiroyuki Sugimori. A deep-learning method using computed tomography scout images for estimating patient body weight. Scientific reports. 2021. 11. 1. 15627-15627
more...
MISC (122):
  • 薄井 康輔, 泉 勇希, 杉森 博行. Deep Learning技術を用いた胸部X線画像評価ソフトウェアの開発. 日本放射線技術学会雑誌. 2021. 77. 9. 1024-1024
  • 大浦 大輔, 伊原 陸, 蛯名 翼, 月花 正幸, 杉森 博行. 主幹動脈閉塞における短時間Phase Contrast Angiographyを用いたMRAと塞栓物質の同時描出. 日本放射線技術学会雑誌. 2021. 77. 9. 1037-1037
  • 真鍋 圭佑, 吉村 高明, 山田 宝生, 浅見 祐輔, 杉森 博行. Deep Learningを用いた前立腺がん検出の精度向上に関する基礎的検討. 日本放射線技術学会雑誌. 2021. 77. 9. 1089-1089
  • 山田 宝生, 真鍋 圭祐, 浅見 祐輔, 杉森 博行. 背景情報の少ない医用画像における物体検出の学習最適化の基礎的検討. 日本放射線技術学会雑誌. 2021. 77. 9. 1106-1106
  • 泉 勇希, 薄井 康輔, 杉森 博行. Deep Learningを用いた肝臓の自動抽出に関する基礎的研究. 日本放射線技術学会雑誌. 2021. 77. 9. 1106-1106
more...
Books (5):
  • Dr.のほしい画像が撮れる! オーダーの解釈と撮影・撮像技術 四肢・体幹
    メジカルビュー社 2021
  • 図解診療放射線技術実践ガイド : 第一線で必ず役立つ知識・実践のすべて
    文光堂 2020 ISBN:9784830642326
  • Positioning and Techniques for MR examination with Full-color Computer Graphics
    MEDICAL VIEW CO., LTD. 2019 ISBN:9784758319348
  • Radiographic Positioning and Techniques with Full-color Computer Graphics
    MEDICAL VIEW CO., LTD. 2017 ISBN:4758319073
  • 診療放射線技師ポケットレビュー帳 3rd edition(編集:福士政広)
    メジカルビュー社 2017 ISBN:4758317267
Education (1):
  • 2010 - 2013 Hokkaido University
Professional career (1):
  • Ph.D (Hokkaido University)
Work history (8):
  • 2019/04 - 現在 Hokkaido university Faculty of Health Sciences Associate Professor
  • 2016/07 - 現在 Hokkaido University Research and Education Center for Brain Science Staff
  • 2016/04 - 2019/03 Hokkaido university Faculty of Health Sciences Lecturer
  • 2013/04 - 2016/03 Hokkaido University Department of Health Sciences Lecturer (part-time)
  • 2013/04 - 2016/03 Faculty of health sciences, hokkaido university Visiting researcher
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Committee career (1):
  • 2018/05 - 現在 北海道放射線技師会 教育委員会 評議委員
Association Membership(s) (3):
THE JAPANESE SOCIETY FOR ARTIFICIAL INTELLIGENCE ,  JAPANESE SOCIETY FOR MAGNETIC RESONANCE IN MEDICINE ,  JAPANESE SOCIETY OF RADIOLOGICAL TECHNOLOGY
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