716 citations · 2.8k across the 74 of their papers we have counts for
Showing 2017 · stat.MLShow all
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stat.ML2017★ 4 cited
Deep Convolutional Framelet Denosing for Low-Dose CT via Wavelet Residual Network
Eunhee Kang, Jaejun Yoo, Jong Chul Ye
Model based iterative reconstruction (MBIR) algorithms for low-dose X-ray CT are computationally expensive. To address this problem, we recently proposed a deep convolutional neura…
stat.ML2017★ 4 cited
Deep Convolutional Framelets: A General Deep Learning Framework for Inverse Problems
Jong Chul Ye, Yoseob Han, Eunju Cha
Recently, deep learning approaches with various network architectures have achieved significant performance improvement over existing iterative reconstruction methods in various im…
stat.ML2017★ 63 cited
Geometric GAN
Jae Hyun Lim, Jong Chul Ye
Generative Adversarial Nets (GANs) represent an important milestone for effective generative models, which has inspired numerous variants seemingly different from each other. One o…