YASUNORI NAGAYAMA

Affiliation and department：

Research field (1)： Radiology

Research theme for competitive and other funds (5)：

2024 - 2028 Multi-energy CTを用いた副腎腫瘍の非侵襲的な診断手法の確立
2024 - 2027 Development of imaging of the immune microenvironment of CNS malignant lymphomas using quantitative magnetic susceptibility mapping
2023 - 2026 超解像技術を活用した小児CTの被ばく線量最適化
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
2019 - 2022 小児CTにおける深層学習画像再構成を用いた低被曝撮影法の開発

Papers (108)：

Takeshi Nakaura, Naofumi Yoshida, Naoki Kobayashi, Yasunori Nagayama, Hiroyuki Uetani, Masafumi Kidoh, Seitaro Oda, Yoshinori Funama, Toshinori Hirai. Performance of Multimodal Large Language Models in Japanese Diagnostic Radiology Board Examinations (2021-2023). Academic radiology. 2024
Seitaro Oda, Akira Chikamoto, Zaw Aung Khant, Hiroyuki Uetani, Masafumi Kidoh, Yasunori Nagayama, Takeshi Nakaura, Toshinori Hirai. Clinical Impact of Radiologist's Alert System on Patient Care for High-risk Incidental CT Findings: A Machine Learning-Based Risk Factor Analysis. Academic radiology. 2024
Yoshinori Funama, Yasunori Nagayama, Daisuke Sakabe, Yuya Ito, Yutaka Chiba, Takeshi Nakaura, Seitaro Oda, Masafumi Kidoh, Toshinori Hirai. Advances in spatial resolution and radiation dose reduction using super-resolution deep learning-based reconstruction for abdominal computed tomography: A phantom study. Academic radiology. 2024
Michael Corwin, Simon Lennartz, Yasunori Nagayama, Wendy Tu. The Global Reading Room: A Patient With an Incidental Adrenal Mass. AJR. American journal of roentgenology. 2024
Yasunori Nagayama, Ryutaro Uchimura, Natsuki Maruyama, Narumi Taguchi, Ryuya Yoshida, Ryota Harai, Masafumi Kidoh, Seitaro Oda, Takeshi Nakaura, Toshinori Hirai. Non-contrast spectral CT vs chemical-shift MRI in discriminating lipid-poor adrenal lesions. European radiology. 2024

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MISC (28)：

永山泰教. 【Dual Energy CTの進化と深化 Spectral Imagingの現在地,そして未来へ】必見!Spectral Imagingの臨床活用知る!膵DECTの世界. INNERVISION. 2024. 39. 6. 49-52
永山泰教. 特集1 令和にアップデートしたい膵癌の画像診断画像診断の進歩:CT-膵癌診療におけるdual-energy CTの有用性-. 臨床画像. 2023. 39. 7. 739-747
坂部大介, 船間芳憲, 永山泰教, 中戸研吾, 榎本隆文, 後藤淳, 羽手村昌宏. 血管模擬ファントムを用いた冠動脈CT-angiographyにおける超解像深層学習再構成の血管描出能の改善. 日本放射線技術学会総会学術大会予稿集. 2023. 79回. 163-163
永山泰教. (Session1)Canon高精細技術 DLRが可能とする低被ばくと高画質の両立. INNERVISION. 2022. 37. 11付録. 4-5
榎本隆文, 永山泰教, 坂部大介, 中戸研吾, 後藤淳, 重松真介, 金田楓, 羽手村昌宏. 冠動脈CTにおけるSuper-Resolution Deep Learning Reconstruction:模擬血管ファントムでの初期検討. 日本放射線技術学会雑誌. 2022. 78. 9. 1110-1110

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Books (1)：

Lectures and oral presentations (39)：

Discriminating Lipid-poor Adrenal Adenomas from Hepatocellular Carcinoma Metastases: Performance comparisons between multiphase hepatic CT parameters and chemical-shift MRI
(2024)
Super-resolution deep-learning reconstruction for coronary stent imaging: Impact of field-of-view on image quality
(2024)
IQon Spectral CTがもたらす臨床的付加価値
(第17回中部マルチスライスCTシンポジウム 2023)
腹部画像診断に役立つスペクトラルCTの臨床活用術
(第82回日本医学放射線学会総会ランチョンセミナー 2023)
Usefulness of Super-resolution Deep-Learning-based Reconstruction for Coronary CT Angiography: A Clinical and Phantom Study
(ECR2023 2023)

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Education (1)：

Professional career (1)：

Awards (8)：

2023/11 - 国立大学法人熊本大学国立大学法人熊本大学研究業績表彰
2023/09 - Japanese Society for the Advancement of Women's Imaging 優秀演題賞
2022/05 - 日本医学放射線学会総会 Cypos賞 Can dynamic hepatic CT be used to distinguish lipid-poor adrenal adenomas from adrenal metastases in patients with hepatocellular carcinoma?
2021/07 - 熊本大学放射線医学教室同門会髙橋国際賞
2021/05 - 「臨床画像」優秀論文賞イメージング・バイオマーカーとしての心臓周囲脂肪

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