Review on Biomedical Informatics Through the Versatility of Generative Adversarial Networks
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-69986-3_35
Reference31 articles.
1. Skandarani, Y., Jodoin, P.M., Lalande, A.: Gans for medical image synthesis: an empirical study. J. Imaging 9(3), 69 (2023)
2. Iqbal, A., Sharif, M., Yasmin, M., Raza, M., Aftab, S.: Generative adversarial networks and its applications in the biomedical image segmentation: a comprehensive survey. Int. J. Multimedia Inf. Retr. 11(3), 333–368 (2022)
3. Lan, L., et al.: Generative adversarial networks and its applications in biomedical informatics. Front. Public Health 8, 164 (2020)
4. Festag, S., Denzler, J., Spreckelsen, C.: Generative adversarial networks for biomedical time series forecasting and imputation. J. Biomed. Inf. 129, 104058 (2022)
5. Xu, Y., et al.: ScIGANs: single-cell RNA-seq imputation using generative adversarial networks. Nucleic Acids Res. 48(15), e85–e85 (2020)
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