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Radiological Physics and Technology|June 1, 2024
Analytical parameterization of Bragg curves for proton beams in muscle, bone, and polymethylmethacrylateBehzad Aminafshar, Hamid Reza Baghani, Ali Asghar Mowlavi
Radiological Physics and Technology|May 23, 2024
Modulation transfer function of digital breast tomosynthesis: a comparison of various edge devicesTakashi Shirato, Kazuhiko Doryo, Shiori Yamada, et al.
Radiological Physics and Technology|December 15, 2025
Subtraction-based Stepwise computed tomography post-processing with probabilistically adjusted thresholding for fat-ice demarcation: an in situ studyChihiro Itou, Yoshiki Ishihara, Atsushi Urikura, et al.
Radiological Physics and Technology|November 29, 2025
Morphological approaches for optimizing lateral knee radiographs in normal knees and knees with osteoarthritisNobutada Suzuki, Hajime Ito, Eiichiro Okumura, et al.
Radiological Physics and Technology|November 20, 2025
Atlas selection methods for multi-atlas-based segmentation in breast cancer radiotherapy planningAnri Minamitake, Ryuji Murakami, Yasuhiro Doi, et al.
Radiological Physics and Technology|May 1, 2024
Inter-fractional error and intra-fractional motion of prostate and dosimetry comparisons of patient position registrations with versus without fiducial markers during treatment with carbon-ion radiotherapyYuma Iwai, Shinichiro Mori, Hitoshi Ishikawa, et al.
Radiological Physics and Technology|January 6, 2024
Possible mechanisms and simulation modeling of FLASH radiotherapyYuta Shiraishi, Yusuke Matsuya, Hisanori Fukunaga
Radiological Physics and Technology|January 10, 2024
Validating computer applications for calculating spatial resolution and noise property in CT using simulated images with known propertiesTakeshi Inoue, Katsuhiro Ichikawa, Takanori Hara, et al.
Radiological Physics and Technology|January 2, 2024
Development of an individual display optimization system based on deep convolutional neural network transition learning for somatostatin receptor scintigraphyShun Matsumoto, Yuki Nakahara, Teppei Yonezawa, et al.
Radiological Physics and Technology|June 19, 2026
Establishing discard criteria for lead aprons using deep learning-based quantification of defect area on X-ray fluoroscopic videoKoichi Hanada, Haruka Suzuki, Masato Takahashi, et al.
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