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Japanese Journal of Radiology|November 25, 2024
Predictive value of pericoronary fat attenuation index for graft occlusion after coronary artery bypass graftingShuyuan Huang, Xinxin Yu, Baozhu Yang, et al.
Japanese Journal of Radiology|November 25, 2024
White-matter alterations in dysthyroid optic neuropathy: a diffusion kurtosis imaging study using tract-based spatial statisticsJiang Zhou, Jun Liu, Jin-Ling Lu, et al.
Japanese Journal of Radiology|November 25, 2024
Association between patient position-induced breast shape changes on prone and supine MRI and mammographic breast density or thicknessMaki Amano, Yasuo Amano, Naoya Ishibashi, et al.
Japanese Journal of Radiology|November 11, 2024
High-precision MRI of liver and hepatic lesions on gadoxetic acid-enhanced hepatobiliary phase using a deep learning techniqueHaruka Kiyoyama, Masahiro Tanabe, Keiko Hideura, et al.
Japanese Journal of Radiology|November 15, 2024
Advancing clinical MRI exams with artificial intelligence: Japan's contributions and future prospectsShohei Fujita, Yasutaka Fushimi, Rintaro Ito, et al.
Japanese Journal of Radiology|October 16, 2024
Clinical scenarios of unusual FDG uptake in muscleRyogo Minamimoto, Katsuhiko Kato, Shinji Naganawa
Japanese Journal of Radiology|September 28, 2024
Optimal combination of microcoils, flow control, and n-butyl cyanoacrylate-Lipiodol-iopamidol (2:3:1) for feasible embolization of medium-sized arteries in an in vitro vascular modelTakeshi Suzuki, Jun Matsuda, Yoshinori Tsukahara, et al.
Japanese Journal of Radiology|September 28, 2024
The influence of revised ordinance on radiation protection management in Japanese hospitals: device deployment and involvement of radiology technologistsArman Nessipkhan, Naoki Matsuda, Noboru Takamura, et al.
Japanese Journal of Radiology|September 26, 2024
The added value of MRI in distinguishing malignant and benign ampullary strictures: a multicenter retrospective studyJi Eun Lee, Seo-Youn Choi, Ye Rin Kim, et al.
Japanese Journal of Radiology|October 2, 2024
Applications of artificial intelligence in interventional oncology: An up-to-date review of the literatureYusuke Matsui, Daiju Ueda, Shohei Fujita, et al.
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