Cite
A multimodal comparison of latent denoising diffusion probabilistic models and generative adversarial networks for medical image synthesis
MLA
Gustav Müller-Franzes, et al. “A Multimodal Comparison of Latent Denoising Diffusion Probabilistic Models and Generative Adversarial Networks for Medical Image Synthesis.” Scientific Reports, vol. 13, no. 1, July 2023, pp. 1–10. EBSCOhost, https://doi.org/10.1038/s41598-023-39278-0.
APA
Gustav Müller-Franzes, Jan Moritz Niehues, Firas Khader, Soroosh Tayebi Arasteh, Christoph Haarburger, Christiane Kuhl, Tianci Wang, Tianyu Han, Teresa Nolte, Sven Nebelung, Jakob Nikolas Kather, & Daniel Truhn. (2023). A multimodal comparison of latent denoising diffusion probabilistic models and generative adversarial networks for medical image synthesis. Scientific Reports, 13(1), 1–10. https://doi.org/10.1038/s41598-023-39278-0
Chicago
Gustav Müller-Franzes, Jan Moritz Niehues, Firas Khader, Soroosh Tayebi Arasteh, Christoph Haarburger, Christiane Kuhl, Tianci Wang, et al. 2023. “A Multimodal Comparison of Latent Denoising Diffusion Probabilistic Models and Generative Adversarial Networks for Medical Image Synthesis.” Scientific Reports 13 (1): 1–10. doi:10.1038/s41598-023-39278-0.