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Radiological Physics and Technology|March 14, 2025
A multi-institutional survey on technical variations in total body irradiation in JapanMasayasu Kitagawa, Ryoichi Notake, Ryuta Nakahara, et al.
Radiological Physics and Technology|March 19, 2025
Semantic segmentation for individual thigh skeletal muscles of athletes on magnetic resonance imagesJun Kasahara, Hiroki Ozaki, Takeo Matsubayashi, et al.
Radiological Physics and Technology|June 9, 2023
Evaluation of 3D-printed bolus for radiotherapy using megavoltage X-ray beamsChunsu Zhang, Will Lewin, Ashley Cullen, et al.
Radiological Physics and Technology|March 28, 2024
An image-based metal artifact reduction technique utilizing forward projection in computed tomographyKatsuhiro Ichikawa, Hiroki Kawashima, Tadanori Takata
Radiological Physics and Technology|March 11, 2024
Long-term geometric quality assurance of radiation focal point and cone-beam computed tomography for Gamma Knife radiosurgery systemShingo Ohira, Toshikazu Imae, Masanari Minamitani, et al.
Radiological Physics and Technology|July 29, 2023
Method for measuring noise-power spectrum independent of the effect of extracting the region of interest from a noise imageAkihiro Narita, Yuki Ohsugi, Masaki Ohkubo, et al.
Radiological Physics and Technology|April 5, 2024
Patient radiation exposure dose reduction using stent-enhanced image processing in percutaneous coronary interventionKazuya Mori, Toru Negishi, Kouhei Makabe, et al.
Radiological Physics and Technology|April 2, 2026
Optimal energy level of virtual monoenergetic images for iron detectability in dual-energy CT: a Phantom studyLukkana Apipunyasopon, Petcharleeya Suwanpradit, Pakjira Saruang
Radiological Physics and Technology|June 3, 2026
Dnq-unet: a two-level fusion framework for few-shot domain adaptation in cervical cancer CTV segmentationBoying Li, Yihui Liu, Yanfei Pan, et al.
Radiological Physics and Technology|June 3, 2026
Comparison of DVH-based machine learning and 3D convolutional neural network approaches for automated VMAT planning in head and neck cancerTakuya Nakamura, Hirofumi Yamasaki, Tomohiko Kawachino, et al.
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