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J-GLOBAL ID：201801004909881645   Update date: Sep. 27, 2024

Takaaki Yoshimura

ヨシムラ タカアキ | Takaaki Yoshimura
Research theme for competitive and other funds  (17)：
  • 2024 - 2027 An Integrated Approach for Uncertainty Reduction of DIR-based Dose Accumulation in Adaptive Radiotherapy
  • 2022 - 2026 Development of MR-only urethra-sparing proton treatment planning method for prostate cancer
  • 2022 - 2025 AIを活用した小児がん陽子線照射のトリプルハイブリッド遠隔治療計画システムの開発
  • 2023 - 2024 Support for the employment of technical assistants over life events
  • 2023 - 2024 医療AIを活用した前立腺癌に対する寡分割Adaptive陽子線治療技術開発
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Papers (35)：
  • Li Yanjun, Takaaki Yoshimura, Yuto Horima, Hiroyuki Sugimori. A Hessian-Based Deep Learning Preprocessing Method for Coronary Angiography Image Analysis. Electronics. 2024. 13. 18. 3676-3676
  • Takaaki Yoshimura, Keigo Kondo, Takayuki Hashimoto, Kentaro Nishioka, Takashi Mori, Takahiro Kanehira, Taeko Matsuura, Seishin Takao, Hiroshi Tamura, Takuya Matsumoto, et al. Geometric target margin strategy of proton craniospinal irradiation for pediatric medulloblastoma. Journal of Radiation Research. 2024. 65. 5. 676-688
  • Miu Sakaida, Takaaki Yoshimura, Minghui Tang, Shota Ichikawa, Hiroyuki Sugimori, Kenji Hirata, Kohsuke Kudo. The Effectiveness of Semi-Supervised Learning Techniques in Identifying Calcifications in X-ray Mammography and the Impact of Different Classification Probabilities. Applied Sciences. 2024. 14. 14. 5968-5968
  • 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
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MISC (58)：
  • Tang M, Hirata K, Sato N, Sugimori H, Yoshimura T, Ogasawara K, Nakaya J, Kudo K. Event Report of 2nd Hokkaido University Medical AI Symposium. 2024. 4. 1. 30-32
  • 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. 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. 48-48
  • 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)：
  • A Decade of Health Sciences in Asia: Looking Back at the FHS International Conference
    Faculty of Health Sciences, Hokkaido University 2023 ISBN:9784600011901
Professional career (1)：
  • 博士(医学) (北海道大学)
Awards (21)：
  • 2024/09 - Hokkaido University Hokkaido University Research Encouragement Award for Young Researchers (Bronze) 超低線量PET画像診断支援システムと生成AIの融合
  • 2024/04 - Japanese Society of Medical Physics 学生奨励賞 A feasible study for classification of acute radiation-induced xerostomia risk based on a dosiomics
  • 2024/04 - 日本放射線技術学会北海道支部 優秀研究賞
  • 2024/03 - Clinical AI Human Resources Development Program (CLAP), Graduate School of Medicine, Hokkaido University 優秀賞(ポスター部門) マンモグラフィ石灰化検出における半教師あり学習の適用と評価
  • 2024/03 - Clinical AI Human Resources Development Program (CLAP), Graduate School of Medicine, Hokkaido University 優秀賞 SRCNNを用いた短時間収集PET画像の画質改善: 臨床画像における定量性の検証
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Association Membership(s) (7)：
Japanese Association for Medical Artificial Intelligence ,  Japan Association for Medical Informatics ,  Particle Therapy Co-Operative Group (PTCOG) ,  JAPANESE SOCIETY OF RADIOLOGICAL TECHNOLOGY ,  JAPANESE SOCIETY FOR RADIATION ONCOLOGY ,  JAPAN SOCIETY OF MEDICAL PHYSICS ,  THE JAPAN ASSOCIATION OF RADIOLOGICAL TECHNOLOGISTS
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