Generative Adversarial Networks for Robust Cryo-EM Image Denoising-Reference-Cited by-同舟云学术

Generative Adversarial Networks for Robust Cryo-EM Image Denoising

Published:2023 Issue: Volume: Page:969-1000
ISSN:
Container-title:Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging
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Author:

Gu Hanlin,Xian Yin,Unarta Ilona Christy,Yao Yuan

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-98661-2_126

Reference58 articles.

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3. Arjovsky, M., Chintala, S., Bottou, L.: Wasserstein generative adversarial networks. In: Proceeding of the International Conference on Machine Learning, pp. 214–223 (2017)

4. Bae, B., Feklistov, A., Lass-Napiorkowska, A., Landick, R., Darst, S.: Structure of a bacterial RNA polymerase holoenzyme open promoter complex. Elife 4, e08504 (2015)

5. Bai, X.C., McMullan, G., Scheres, S.: How Cryo-EM is revolutionizing structural biology. Trends Biochem. Sci. 40(1), 49–57 (2015)

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