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A Review of Computational Phantoms for Quality Assurance in Radiology and Radiotherapy in the Deep-Learning Era
Zhao Peng, Ning Gao, Bingzhi Wu, Zhi Chen, X. George Xu
J. Radiat. Prot. Res.
2022;47(3):111-133. Published online September 30, 2022
DOI:
https://doi.org/10.14407/jrpr.2021.00402
Web of Science 3
Crossref 8
Comparison of Machine Learning-Based Radioisotope Identifiers for Plastic Scintillation Detector
Byoungil Jeon, Jongyul Kim, Yonggyun Yu, Myungkook Moon
J. Radiat. Prot. Res.
2021;46(4):204-212. Published online November 27, 2021
DOI:
https://doi.org/10.14407/jrpr.2021.00206
Web of Science 6
Crossref 6
Preliminary Application of Synthetic Computed Tomography Image Generation from Magnetic Resonance Image Using Deep-Learning in Breast Cancer Patients
Wan Jeon, Hyun Joon An, Jung-in Kim, Jong Min Park, Hyoungnyoun Kim, Kyung Hwan Shin, Eui Kyu Chie
J. Radiat. Prot. Res.
2019;44(4):149-155. Published online December 31, 2019
DOI:
https://doi.org/10.14407/jrpr.2019.44.4.149
Crossref 4
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