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Radiological Physics and Technology|June 1, 2026
Evaluation of super-resolution deep learning reconstruction on three-dimensional constructive interference in steady state for enhanced visualization of vestibular schwannomasAkira Katayama, Koichiro Yasaka, Miori Fujimoto, et al.Radiological Physics and Technology|June 1, 2026
Comparison of platinum and gold fiducial markers for prostate radiotherapy: a phantom studyNoriyuki Mihashi, Ryoichi Hinoto, Takatsugu Kawase, et al.Radiological Physics and Technology|June 3, 2026
Low-kVp techniques for radiation dose optimization in abdominopelvic contrast-enhanced CT: a scoping reviewNitika C Panakkal, Rajagopal Kadavigere, Suresh Sukumar, et al.Radiological Physics and Technology|June 6, 2026
Managing radiological technologists' impatience: testing the effectiveness of a group work interventionRyu Mabuchi, Hiroshi NakaiRadiological Physics and Technology|February 7, 2020
Development of a computer simulation technique for low-dose chest radiographs: a phantom studyRie Murakami, Shigehiko KatsuragawaRadiological Physics and Technology|June 16, 2026
Agreement between ventricular stroke volumes and great vessel flow using cine and phase-contrast MRI in healthy subjectsAi Kawaguchi, Wataru Kawaguchi, Miyuki Hayashi, et al.Radiological Physics and Technology|July 19, 2023
Deep learning model for predicting the presence of stromal invasion of breast cancer on digital breast tomosynthesisDaiki Shimokawa, Kengo Takahashi, Ken Oba, et al.Radiological Physics and Technology|June 8, 2023
Accuracy of skull stripping in a single-contrast convolutional neural network model using eight-contrast magnetic resonance imagesMasami Goto, Yujiro Otsuka, Akifumi Hagiwara, et al.Radiological Physics and Technology|May 23, 2020
Diffusion-weighted breast magnetic resonance imaging with distortion correction using non-rigid image registration: a clinical studyYasuo Takatsu, Hajime Sagawa, Masafumi Nakamura, et al.Radiological Physics and Technology|September 8, 2010
Use of a clinical MRI scanner for preclinical research on ratsAkihide Yamamoto, Hiroshi Sato, Jun-ichiro Enmi, et al.Pageof 105