Generative adversarial networks (GAN) for compact beam source modelling in Monte Carlo simulations

Research article (Physics in Medicine and Biology, 2019) · cited 27× · AI/ML
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Generative adversarial networks (GAN) for compact beam source modelling in Monte Carlo simulations

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Generative adversarial networks (GAN) for compact beam source modelling in Monte Carlo simulations is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Generative adversarial networks (GAN) for compact beam source modelling in Monte Carlo simulations. Retrieved May 24, 2026, from https://4ort.xyz/entity/generative-adversarial-networks-gan-for-compact-beam-source-modelling-in-monte-carlo-simulations
MLA “Generative adversarial networks (GAN) for compact beam source modelling in Monte Carlo simulations.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/generative-adversarial-networks-gan-for-compact-beam-source-modelling-in-monte-carlo-simulations.
BibTeX @misc{4ortxyz_generative-adversarial-networks-gan-for-compact-beam-source-modelling-in-monte-carlo-simulations_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Generative adversarial networks (GAN) for compact beam source modelling in Monte Carlo simulations}}, year = {2026}, url = {https://4ort.xyz/entity/generative-adversarial-networks-gan-for-compact-beam-source-modelling-in-monte-carlo-simulations}, note = {Accessed: 2026-05-24}}
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