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Radiological Physics and Technology|August 15, 2023
The influence of image reconstruction methods on the diagnosis of pulmonary emphysema with convolutional neural networkToshiki Takeshita, Atsushi Nambu, Masao Tago, et al.
Radiological Physics and Technology|December 31, 2023
Efficient quality assurance for isocentric stability in stereotactic body radiation therapy using machine learningSana Salahuddin, Saeed Ahmad Buzdar, Khalid Iqbal, et al.
Radiological Physics and Technology|December 28, 2023
Evaluation of deep learning reconstruction on diffusion-weighted imaging quality and apparent diffusion coefficient using an ice-water phantomTatsuya Hayashi, Shinya Kojima, Toshimune Ito, et al.
Radiological Physics and Technology|November 30, 2023
Deep learning-based attenuation correction method in 99mTc-GSA SPECT/CT hepatic imaging: a phantom studyMasahiro Miyai, Ryohei Fukui, Masahiro Nakashima, et al.
Radiological Physics and Technology|March 9, 2024
Denoising parameter dependence of coronary artery depictability in compressed sensing magnetic resonance angiographyJunji Takahashi, Yoshio Machida, Kei Fukuzawa, et al.
Radiological Physics and Technology|February 9, 2024
The effects of mega-voltage CT scan parameters on offline adaptive radiation therapyKento Hoshida, Ayumu Ohishi, Asumi Mizoguchi, et al.
Radiological Physics and Technology|April 3, 2024
Monte carlo simulation study on the dose and dose-averaged linear energy transfer distributions in carbon ion radiotherapyAkihisa Ishikawa, Yusuke Koba, Takuya Furuta, et al.
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