Tang Minghui

Affiliation and department：
Job title： Specially Appointed Assistant Professor

Research field (2)： Biomedical engineering , Radiology

Research keywords (3)： Magnetic Resonance in Medicine , medical physics , 人工知能

Research theme for competitive and other funds (6)：

2023 - 2026 神経細胞賦活による細胞内酸素濃度変動を直接検出するfMRI法の開発
2018 - 2022 Development of treatment approaches for vulnerable plaque uing targeted radionuclide therapy
2012 - 2022 金属系バイオマテリアルの生体機能化-運動骨格系健康長寿の要-
2019 - 2021 骨塩定量ではわからない骨質の評価:コラーゲンの微細磁化構造に着目したMRIの応用
2018 - 2021 喫煙による大脳細動脈収縮拡張機能劣化の年齢横断的評価-MRIによる新しい評価法の応用-

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Papers (17)：

Minghui Tang, Taku Sugiyama, Ren Takahari, Hiroyuki Sugimori, Takaaki Yoshimura, Katsuhiko Ogasawara, Kohsuke Kudo, Miki Fujimura. Assessment of changes in vessel area during needle manipulation in microvascular anastomosis using a deep learning-based semantic segmentation algorithm: A pilot study. Neurosurgical review. 2024. 47. 1. 200-200
Ryuma Moriya, Takaaki Yoshimura, Minghui Tang, Shota Ichikawa, Hiroyuki Sugimori. Development of a Method for Estimating the Angle of Lumbar Spine X-ray Images Using Deep Learning with Pseudo X-ray Images Generated from Computed Tomography. Applied Sciences. 2024. 14. 9. 3794-3794
Hiroyuki Kameda, Yumi Nakada, Yuta Urushibata, Hiroyuki Sugimori, Takaaki Fujii, Naoya Kinota, Daisuke Kato, Minghui Tang, Keita Sakamoto, Kohsuke Kudo. Imaging of 17O-labeled Water Using Fast T2 Mapping with T2-preparation: A Phantom Study. Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine. 2024
Taku Sugiyama, Hiroyuki Sugimori, Minghui Tang, Yasuhiro Ito, Masayuki Gekka, Haruto Uchino, Masaki Ito, Katsuhiko Ogasawara, Miki Fujimura. Deep learning-based video-analysis of instrument motion in microvascular anastomosis training. Acta neurochirurgica. 2024. 166. 1. 6-6
Miu Sakaida, Takaaki Yoshimura, Minghui Tang, Shota Ichikawa, Hiroyuki Sugimori. Development of a Mammography Calcification Detection Algorithm Using Deep Learning with Resolution-Preserved Image Patch Division. Algorithms. 2023. 16. 10. 483-483

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MISC (33)：

猪股壮一郎, 吉村高明, 唐明輝, 市川翔太, 杉森博行. 造影心臓CT画像を用いた深層学習による大動脈弁自動抽出法の検討. 北海道放射線技術雑誌. 2023. 95. 95. 46-46
境田みう, 吉村高明, 唐明輝, 市川翔太, 杉森博行. マンモグラフィにおける石灰化識別のための半教師あり学習の適用と評価. 北海道放射線技術雑誌. 2023. 95. 95. 48-48
大塚義紀, 平田健司, 唐明輝, 中川純一, 宇佐美郁治, 岸本卓巳, 水橋啓一, 飯塚幹也, 五十嵐毅, 横山多佳子, et al. 労災疾病等医学研究令和5年度開始「じん肺」テーマについて. 日本職業・災害医学会会誌. 2023. 71. 臨増. 別96-別96
境田みう, 吉村高明, 唐明輝, 杉森博行. Deep Learningを用いたマンモグラフィ石灰化検出方法の開発. 日本放射線技術学会雑誌. 2023. 79. 9. 1027-1027
猪股壮一郎, 吉村高明, 唐明輝, 市川翔太, 杉森博行. 心臓CT画像からの深層学習によるセグメンテーションを用いた大動脈弁自動推定法の検討. 日本放射線技術学会雑誌. 2023. 79. 9. 1028-1029

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Books (1)：

製品利用に向けたバイオマテリアル開発の基本事項と注意点-材料の特徴・材料劣化・表面解析・安全性試験・ニーズ収集-
情報機構 2022 ISBN:9784865022360

Education (1)：

2013 - 2016 Hokkaido University Graduate School of Health Sciences and Technology

Professional career (1)：

博士(保健科学) (北海道大学)

Work history (2)：

2019/04 - 現在日本医療大学保健医療学部診療放射線学科非常勤講師
2020/05 - 2021/03 National Institutes for Quantum and Radiological Science and Technology

Awards (6)：

2022/11 - Outstanding research award
2022/11 - Medical AI Research and Development Center, Hokkaido University Hospital Outstanding research award
2022/09 - Japan Society of Medical Physics Encouragement Award The 124th Meeting of Japan Society of Medical Physics
2018/03 - ISMRM Travel Award Torque abnormality of Ti alloy in a static magnetic field
2015/10 - Japan Society of Medical Physics Excellent Research Award The 110th Meeting of Japan Society of Medical Physics

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Association Membership(s) (4)：

International Society for Magnetic Resonance in Medicine , JAPANESE SOCIETY FOR MAGNETIC RESONANCE IN MEDICINE , JAPAN SOCIETY OF MEDICAL PHYSICS , 日本メディカルAI学会

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