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Radiological Physics and Technology|July 18, 2024
Visualization of distribution in the vitreous cavity via eye drops using ultra-heavily T2-weighted sequences in MRI: a preliminary study with enucleated pig eyesYutaka Kato, Kenya Yuki, Koji Nishiguchi, et al.
Radiological Physics and Technology|July 16, 2024
Enhanced radio-photodynamic therapy potential of advanced gold-based nanoclusters for breast cancer treatmentOmid Talaee, Reza Faghihi, Banafsheh Rastegari, et al.
Radiological Physics and Technology|July 24, 2024
Investigation of distributed learning for automated lesion detection in head MR imagesAiki Yamada, Shouhei Hanaoka, Tomomi Takenaga, et al.
Radiological Physics and Technology|July 19, 2024
Multi-institutional questionnaire-based survey on online adaptive radiotherapy performed using commercial systems in Japan in 2023Hiraku Iramina, Masato Tsuneda, Hiroyuki Okamoto, et al.
Radiological Physics and Technology|August 15, 2024
Effect of deep learning reconstruction on the assessment of pancreatic cystic lesions using computed tomographyJun Kanzawa, Koichiro Yasaka, Yuji Ohizumi, et al.
Radiological Physics and Technology|August 14, 2024
Evaluation of calculation accuracy and computation time in a commercial treatment planning system for accelerator-based boron neutron capture therapyAkihiko Takeuchi, Katsumi Hirose, Ryohei Kato, et al.
Radiological Physics and Technology|June 18, 2024
PET detectors with depth-of-interaction and time-of-flight capabilitiesEiji Yoshida, Taiga Yamaya
Radiological Physics and Technology|May 3, 2024
Variation in Hounsfield unit calculated using dual-energy computed tomography: comparison of dual-layer, dual-source, and fast kilovoltage switching techniqueShingo Ohira, Junji Mochizuki, Tatsunori Niwa, et al.
Radiological Physics and Technology|April 30, 2024
Assessment of the deep learning-based gamma passing rate prediction system for 1.5 T magnetic resonance-guided linear acceleratorRyota Tozuka, Noriyuki Kadoya, Kazuhiro Arai, et al.
Radiological Physics and Technology|June 5, 2024
New liver window width in detecting hepatocellular carcinoma on dynamic contrast-enhanced computed tomography with deep learning reconstructionNaomasa Okimoto, Koichiro Yasaka, Shinichi Cho, et al.
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