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Japanese Journal of Radiology|July 7, 2025
Performance of a deep-learning-based lung nodule detection system using 0.25-mm thick ultra-high-resolution CT imagesHaruka Higashibori, Wataru Fukumoto, Sayaka Kusuda, et al.
Japanese Journal of Radiology|June 27, 2025
The clinical utility of ventilation-perfusion scintigraphy in the classification of pulmonary hypertensionYoichi Otomi, Hideki Otsuka, Ryosuke Kasai, et al.
Japanese Journal of Radiology|July 1, 2025
CT-based assessment of bear-inflicted maxillofacial injuries: evaluation using the facial injury severity scale and its association with hospitalization durationKento Hatakeyama, Takahiro Otani, Kasumi Satoh, et al.
Japanese Journal of Radiology|July 4, 2025
Ultrafast MRI and diffusion-weighted imaging: a review of morphological evaluation and image quality in breast MRIMaya Honda, Masako Kataoka, Mami Iima, et al.
Japanese Journal of Radiology|July 2, 2025
Non-thrombotic pulmonary emboli: imaging findings and differential diagnosesNanae Tsuchiya, Yuma Chinen, Kazuyoshi Yumoto, et al.
Japanese Journal of Radiology|September 15, 2025
Fractal-driven self-supervised learning enhances early-stage lung cancer GTV segmentation: a novel transfer learning frameworkRyota Tozuka, Noriyuki Kadoya, Arata Yasunaga, et al.
Japanese Journal of Radiology|June 11, 2025
High visceral-to-subcutaneous fat area ratio is an unfavorable prognostic indicator in patients with uterine sarcomaMariko Kurokawa, Wataru Gonoi, Shouhei Hanaoka, et al.
Japanese Journal of Radiology|June 3, 2025
Current perspectives and emerging trends in iodine-125 seed implantation: a comprehensive bibliometric analysisZhao Liu, Qinghua Zhang, Xiancun Hou, et al.
Japanese Journal of Radiology|May 29, 2025
Deep learning reconstruction for improved image quality of ultra-high-resolution brain CT angiography: application in moyamoya diseaseYongping Ma, Satoshi Nakajima, Yasutaka Fushimi, et al.
Japanese Journal of Radiology|February 22, 2024
Depiction rate of feeding arteries of renal cell carcinoma on four-dimensional computed tomography angiographyKazuaki Munetomo, Yusuke Matsui, Koji Tomita, et al.
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