81 citations · 159 across the 6 of their papers we have counts for
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eess.IV2020★ 6 cited
AdaIN-Switchable CycleGAN for Efficient Unsupervised Low-Dose CT Denoising
Jawook Gu, Jong Chul Ye
Recently, deep learning approaches have been extensively studied for low-dose CT denoising thanks to its superior performance despite the fast computational time. In particular, cy…
eess.IV2020★ 5 cited
Unsupervised CT Metal Artifact Learning using Attention-guided beta-CycleGAN
Junghyun Lee, Jawook Gu, Jong Chul Ye
Metal artifact reduction (MAR) is one of the most important research topics in computed tomography (CT). With the advance of deep learning technology for image reconstruction,vario…