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AJR. American Journal of Roentgenology|February 20, 2019
Imaging Characteristics of Liver Metastases Overlooked at Contrast-Enhanced CTHirotsugu Nakai, Shigeki Arizono, Hiroyoshi Isoda, et al.
Interventional Radiology (Higashimatsuyama-Shi (Japan)|November 29, 2023
Preemptive Embolization of the Lumbar Arteries and Inferior Mesenteric Artery to Prevent Abdominal Aortic Aneurysm Enlargement Associated with Type 2 Endoleak Following Endovascular Aneurysm RepairHirotsugu Nakai, Shinichi Iwakoshi, Shinya Takimoto, et al.
Cureus|December 8, 2025
Percutaneous Abscess Drainage: Basic Techniques and Technical TipsYasuyuki Onishi, Hironori Shimizu, Shunsuke Sugawara, et al.
Journal of Bioscience and Bioengineering|February 18, 2026
18-Crown-6 ether increases molecular weight of poly(3-hydroxybutyrate) synthesized in Escherichia coliSeiya Tanaka, Hiroshi Kikukawa, Hirotsugu Nakai, et al.
European Journal of Radiology|April 14, 2023
Artificial intelligence-powered software detected more than half of the liver metastases overlooked by radiologists on contrast-enhanced CTHirotsugu Nakai, Ryo Sakamoto, Takahide Kakigi, et al.
Radiographics : a Review Publication of the Radiological Society of North America, Inc|October 31, 2024
Imaging of Upper Tract Urothelial CarcinomaHirotsugu Nakai, Hiroaki Takahashi, Clinton V Wellnitz, et al.
Computers in Biology and Medicine|October 12, 2020
Attribute-guided image generation of three-dimensional computed tomography images of lung nodules using a generative adversarial networkMizuho Nishio, Chisako Muramatsu, Shunjiro Noguchi, et al.
Radiology Case Reports|July 26, 2022
Chest wall systemic artery-to-pulmonary artery vascular malformation treated by embolization of feeders and drainers: A case reportMotofumi Onishi, Yasuyuki Onishi, Sumika Yasumura, et al.
Abdominal Radiology (New York)|July 9, 2024
Image quality comparison of 1.5T and 3T prostate MRIs of the same post-hip arthroplasty patients: multi-rater assessments including PI-QUAL version 2Hirotsugu Nakai, Naoki Takahashi, Mark D Sugi, et al.
Academic Radiology|July 9, 2019
Quantitative and Qualitative Evaluation of Convolutional Neural Networks with a Deeper U-Net for Sparse-View Computed Tomography ReconstructionHirotsugu Nakai, Mizuho Nishio, Rikiya Yamashita, et al.
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