Rchr
J-GLOBAL ID：202001015028413355
Update date: Sep. 04, 2024
Matsuo Hidetoshi
マツオ ヒデトシ | Matsuo Hidetoshi
Research theme for competitive and other funds (2)：
- 2023 - 2028 Multitask Image-Natural Language Correspondence Model Development using Large-Scale Medical Image Dataset
- 2023 - 2026 Application of large language models to medical natural language processing
Papers (37)：
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Takehiro Jimbo, Hidetoshi Matsuo, Yuya Imoto, Takumi Sodemura, Makoto Nishimori, Yoshinari Fukui, Takuya Hayashi, Tomoyuki Furuyashiki, Ryoichi Yokoyama. Author Correction: Accelerated preprocessing of large numbers of brain images by parallel computing on supercomputers. Scientific reports. 2024. 14. 1. 2233-2233
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Mizuho Nishio, Hidetoshi Matsuo, Takaaki Matsunaga. [[Applications] 11. Automatic Generation of Radiology Reports for Chest X-ray Images]. Nihon Hoshasen Gijutsu Gakkai zasshi. 2024. 80. 6. 673-678
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Takaaki Matsunaga, Atsushi Kono, Mizuho Nishio, Takahiro Yoshii, Hidetoshi Matsuo, Mai Takahashi, Takuya Takahashi, Yu Taniguchi, Hidekazu Tanaka, Kenichi Hirata, et al. Development and web deployment of prediction model for pulmonary arterial pressure in chronic thromboembolic pulmonary hypertension using machine learning. PloS one. 2024. 19. 4. e0300716
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Mizuho Nishio, Takaaki Matsunaga, Hidetoshi Matsuo, Munenobu Nogami, Yasuhisa Kurata, Koji Fujimoto, Osamu Sugiyama, Toshiaki Akashi, Shigeki Aoki, Takamichi Murakami. Fully automatic summarization of radiology reports using natural language processing with large language models. Informatics in Medicine Unlocked. 2024. 46. 101465-101465
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Hidetoshi Matsuo, Kazuhiro Kitajima, Atsushi K Kono, Kozo Kuribayashi, Takashi Kijima, Masaki Hashimoto, Seiki Hasegawa, Koichiro Yamakado, Takamichi Murakami. Prognosis prediction of patients with malignant pleural mesothelioma using conditional variational autoencoder on 3D PET images and clinical data. Medical physics. 2023. 50. 12. 7548-7557
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MISC (15)：
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西尾 瑞穂, 松尾 秀俊, 松永 卓明. 放射線技術学研究におけるPythonの活用術 応用編(11)胸部単純X線写真の診断レポートの自動作成. 日本放射線技術学会雑誌 = Japanese journal of radiological technology. 2024. 80. 6. 673-678
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野上宗伸, 野上宗伸, 松尾秀俊, 西尾瑞穂, 立花美保, 井上純子, 曽菲比, 久保和広, 栗本貴子, 村上卓道, et al. 胸部PET/MRIの減弱補正:高速Zero-TE MRIを用いた深層学習によるノイズ除去および擬似CT生成. 核医学(Web). 2023. 60. Supplement
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立花美保, 野上宗伸, 野上宗伸, 松尾秀俊, 西尾瑞穂, 井上純子, 曽菲比, 栗本貴子, 久保和広, 村上卓道, et al. ZTE MRIから2.5次元法深層学習で生成した骨要素を含む減弱補正が胸部領域のSUVに与える影響. 核医学(Web). 2023. 60. Supplement
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吉井隆浩, 松尾秀俊, 高橋真依, 西尾瑞穂, 河野淳, 谷口悠, 平田健一, 村上卓道. Accurate prediction model of pulmonary artery mean pressure using minimally invasive examinations in chronic thromboembolic pulmonary hypertension patients. 医療情報学連合大会論文集(CD-ROM). 2021. 41st
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野上宗伸, 松尾秀俊, 西尾瑞穂, 曽菲比, 犬養純子, 立花美保, 栗本貴子, 久保和広, 村上卓道, 村上卓道. 深層学習を用いたZTE MRIによる胸部PET/MRIの吸収補正に関する定量的検証. 核医学(Web). 2021. 58. Supplement
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Lectures and oral presentations (9)：
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A Multilingual Approach to Structured Data Extraction from Radiological Reports using Large Language Models: Focus on TNM Staging Accuracy
(ECR 2024 - European Congress of Radiology 2024)
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Diagnostic accuracy of AI detection of intracranial hemorrhage using vision transformers and large datasets: Application to post-mortem CT
(ECR 2023 - European Congress of Radiology 2023)
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基礎から学ぶAI技術~deep learningって何?~
(最先端医療画像研究会 2022)
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Prognostic prediction of patients with malignant mesothelioma using 3D PET images and clinical data with self-supervised learning
(ECR 2022 - European Congress of Radiology 2022)
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基礎から学ぶAI技術~deep learningって何?~
(播淡画像診断研究会 2022)
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Professional career (1)：
- Doctor of Philosophy (Kobe University)
Awards (2)：
- 2023/06 - 神戸大学放射線科同門会 優秀論文賞
- 2019/10 - 神緑会(神戸大学医学部同窓会) 優秀賞 MRIとDeeplearningを用いた耳下腺腫瘍の良悪性判別の試み
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