Nakaura Takeshi

ナカウラタケシ | Nakaura Takeshi

Affiliation and department：
Job title： Associate Professor

Research field (1)： Radiology

Research theme for competitive and other funds (12)：

2022 - 2026 造影CTでのヨード線量増加の影響を組み込んだ線量管理に関する研究
2021 - 2026 心房細動治療前心臓CTによる心筋組織性状評価:撮像・評価法確立と臨床的意義の解明
2021 - 2025 人工知能を用いて多層検出器CT画像より疑似的なMR画像を作成する研究
2020 - 2025 心臓CTを用いた心筋組織性状評価:心アミロイドーシス診断ストラテジーの確立
2021 - 2024 EOB-MRIとディープラーニングを用いたHCC切除後の予後予測システムの確立

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Papers (283)：

Takeshi Nakaura, Rintaro Ito, Daiju Ueda, Taiki Nozaki, Yasutaka Fushimi, Yusuke Matsui, Masahiro Yanagawa, Akira Yamada, Takahiro Tsuboyama, Noriyuki Fujima, et al. The impact of large language models on radiology: a guide for radiologists on the latest innovations in AI. Japanese journal of radiology. 2024
Masamichi Hokamura, Hiroyuki Uetani, Tadashi Hamasaki, Takeshi Nakaura, Kosuke Morita, Yuichi Yamashita, Mika Kitajima, Aki Sugitani, Akitake Mukasa, Toshinori Hirai. Effect of deep learning-based reconstruction on high-resolution three-dimensional T2-weighted fast asymmetric spin-echo imaging in the preoperative evaluation of cerebellopontine angle tumors. Neuroradiology. 2024
Yasunori Nagayama, Hidetaka Hayashi, Narumi Taguchi, Ryuya Yoshida, Ryota Harai, Masafumi Kidoh, Seitaro Oda, Takeshi Nakaura, Toshinori Hirai. Diagnostic performance of hepatic CT and chemical-shift MRI to discriminate lipid-poor adrenal adenomas from hepatocellular carcinoma metastases. Abdominal radiology (New York). 2024
Goh Sasaki, Hiroyuki Uetani, Takeshi Nakaura, Keiichi Nakahara, Kosuke Morita, Yasunori Nagayama, Masafumi Kidoh, Koya Iwashita, Naofumi Yoshida, Masamichi Hokamura, et al. Optimizing High-Resolution MR Angiography: The Synergistic Effects of 3D Wheel Sampling and Deep Learning-Based Reconstruction. Journal of Computer Assisted Tomography. 2024
Masamichi Hokamura, Hiroyuki Uetani, Takeshi Nakaura, Kensei Matsuo, Kosuke Morita, Yasunori Nagayama, Masafumi Kidoh, Yuichi Yamashita, Mitsuharu Ueda, Akitake Mukasa, et al. Exploring the impact of super-resolution deep learning on MR angiography image quality. Neuroradiology. 2023

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MISC (225)：

中浦猛. 【意外と奥深いアーチファクト・偽病変の世界-腹部領域を中心に-】DECTのアーチファクトやピットフォール腹部画像診断を中心に. 臨床画像. 2023. 39. 4. 398-404
吉田理人, 舛田隆則, 船間芳憲, 奥貴行, 吉浦貴之, 山本湧雅, 中浦猛. 肝臓ダイナミック造影CTにおける生体電気インピーダンスを用いた大動脈および肝臓の造影効果の検討. 日本放射線技術学会総会学術大会予稿集. 2023. 79回. 246-247
Fuminari Tatsugami, Takeshi Nakaura, Masahiro Yanagawa, Shohei Fujita, Koji Kamagata, Rintaro Ito, Mariko Kawamura, Yasutaka Fushimi, Daiju Ueda, Yusuke Matsui, et al. Recent advances in artificial intelligence for cardiac CT: Enhancing diagnosis and prognosis prediction. Diagnostic and Interventional Imaging. 2023
中浦猛, 上谷浩之, 松尾健生, 森田康祐, 平井俊範. Deep Learning画像再構成の発展について. 映像情報Medical. 2022. 54. 14. 66-70
小林直樹, 舛田隆則, 中浦猛, 白石花織, 上谷浩之, 永山泰教, 木藤雅文, 船間芳憲, 尾田済太郎, 平井俊範. 心臓CTを対象とした深層学習モデルによるスカウト画像からの増強効果の予測. 日本医学放射線学会秋季臨床大会抄録集. 2022. 58回. S446-S446

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Education (2)：

2003 - 2007 Kumamoto University
1990 - 1997 Kumamoto University School of Medicine School of Medicine

Professional career (1)：

Doctor of Medical Science (Kumamoto University)

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