In recent years, generative adversarial networks (GANs) have gained
trem...
Modern generative models, such as generative adversarial networks (GANs)...
Most of the Deep Neural Networks (DNNs) based CT image denoising literat...
We propose a Noise Entangled GAN (NE-GAN) for simulating low-dose comput...
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