Rchr
J-GLOBAL ID：201801014769247202
Update date: Dec. 01, 2025
Matsuda Takuya
マツダ タクヤ | Matsuda Takuya
Affiliation and department：
Research field (1)：
Radiology
Research keywords (2)：
Artificial Intelligence
, Cardiac CT
Research theme for competitive and other funds (4)：
- 2024 - 2027 有害事象報告と医療情報を国際的に統合した効率的なDR候補薬検出システムの試み
- 2022 - 2026 Development of new method for differentiating benign and malignant breast lesions using synthetic MRI and artificial intelligence
- 2021 - 2024 Index of coronary artery blood flow from dynamic CT perfusion image using 3D voxel-tracking technique
- 2020 - 2023 超多列化CTを駆使した低侵襲・低被曝心筋血流定量評価法の開発と応用
Papers (12)：
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Takuya Matsuda, Megumi Matsuda, Hasnine Haque, Shotaro Fuchibe, Masaki Matsumoto, Yasuhiro Shiraishi, Yuki Nobe, Kango Kuwabara, Wataru Toshimori, Kanako Okada, et al. Diagnostic accuracy of a machine learning model using radiomics features from breast synthetic MRI. BMC Medical Imaging. 2025. 25. 1
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Tomoro Morikawa, Yuki Tanabe, Hiroshi Suekuni, Naoki Fukuyama, Wataru Toshimori, Hidetaka Toritani, Shun Sawada, Takuya Matsuda, Shota Nakano, Teruhito Kido. Influence of deep learning-based super-resolution reconstruction on Agatston score. European radiology. 2025. 35. 9. 5604-5614
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Yukinobu Kawakami, Takuya Matsuda, Noriaki Hidaka, Mamoru Tanaka, Eizen Kimura. Toward a unified understanding of drug-drug interactions: mapping Japanese drug codes to RxNorm concepts. Journal of the American Medical Informatics Association : JAMIA. 2024. 31. 7. 1561-1568
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Kazuki Yoshida, Yuki Tanabe, Hikaru Nishiyama, Takuya Matsuda, Hidetaka Toritani, Takuya Kitamura, Shinichiro Sakai, Kunihiko Watamori, Masaki Takao, Eizen Kimura, et al. Feasibility of Bone Mineral Density and Bone Microarchitecture Assessment Using Deep Learning With a Convolutional Neural Network. JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY. 2023. 47. 3. 467-474
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M Matsuda, N Fukuyama, T Matsuda, S Kikuchi, Y Shiraishi, Y Takimoto, Y Kamei, M Kurata, R Kitazawa, T Kido. Utility of synthetic MRI in predicting pathological complete response of various breast cancer subtypes prior to neoadjuvant chemotherapy. Clinical radiology. 2022. 77. 11. 855-863
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MISC (14)：
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川上幸伸, 松田卓也, 高田春樹, 飛鷹範明, 田中守, 木村映善. A machine learning approach to mapping drug entries on Japanese and U.S. Label documents. 日本医療情報学会春季学術大会プログラム・抄録集. 2022. 26th
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Kido Teruhito, Matsuda Takuya. Evaluation of Myocardial Ischemia with Stable Angina. Japanisch-Deutsche Medizinische Berichte. 2020. 64. 2. 43-51
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吉田和樹, 田邊裕貴, 河内義弘, 桑原奈都美, 河内孝範, 平井邦明, 松田卓也, 川口直人, 倉田聖, 城戸倫之, et al. 希釈造影法を用いた冠動脈CTにおけるプラーク性状とIB-IVUSの比較検討. 日本心血管画像動態学会プログラム・抄録集. 2019. 29th
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佐藤智, 佐伯翔太, 曽根真浩, 三宅宣雅, 藤本直紀, 千葉秀之, 中路光紀, 岡本隆, 松田卓也, 武田由貴恵, et al. 冠動脈プラークMRIにおけるnon-selective IR併用segmented FLASH 3Dの基礎的検討(SPACE法を用いた相対値の検討). 愛媛県立病院学会々誌. 2017. 51
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福山直紀, 城戸輝仁, 田邊裕貴, 横山らみ, 中村壮志, 松田卓也, 西山香子, 倉田聖, 宮川正男, 望月輝一. 心臓CTを用いた冠動脈支配灌流域解析ソフトウェアの整合性についての検討:ATP負荷心臓MRIとの比較. 日獨医報. 2015. 60. 2
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Lectures and oral presentations (26)：
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物体検出モデルを用いた皮膚科領域医療画像の個人情報保護のためのマスキング手法の実現可能性の検討
(第45回医療情報学連合大会(第26回日本医療情報学会学術大会) 2025)
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Predicting lung function from chest X-Ray image using deep learning method
(44th Fukuoka 2024 Joint Conference on Medical Informatics 2024)
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腎毒性薬投与後におけるAKI発症予測モデル構築の試み
(医療情報学連合大会論文集 2024)
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アウトカム評価未入力に関してのデータ分析
(日本クリニカルパス学会誌 2024)
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Evaluation of matching Japanese and U.S. drug labels using sentence embeddings
(2023)
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Professional career (2)：
- Medical Doctor (M.D.) (Ehime University)
- Doctor of Philosophy (Ph.D.) (Ehime University Graduate School Of Medicine)
Awards (1)：
- 2012/11 - Radiological Society of North America (RSNA) 2012 Trainee Research Prize Characteristics of cardiac F-18 FDG accumulation on PET/CT in patients with atrial fibrillation.
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