Video-rate acquisition fluorescence microscopy via generative adversarial networks-Reference-Cited by-同舟云学术

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Video-rate acquisition fluorescence microscopy via generative adversarial networks

Published:2020-10 Issue: Volume: Page:
ISSN:
Container-title:2020 IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE)
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Author:

Issa T. B.,Vinegoni C.,Shaw A.,Feruglio P. F.,Weissleder R.,Uminsky D.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9287816/9287978/09288147.pdf?arnumber=9288147

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Providing Real-World Benchmarks for Super-Resolving Fluorescence Microscope Imagery Using Generative Adversarial Networks;2024 IEEE Conference on Artificial Intelligence (CAI);2024-06-25

2. Temporal Development GAN (TD-GAN): Crafting More Accurate Image Sequences of Biological Development;Information;2023-12-24

3. Deep learning-based RGB-thermal image denoising: review and applications;Multimedia Tools and Applications;2023-06-29

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