3 citations · 4 across the 2 of their papers we have counts for
3 papers
eess.IV2021★ 3 cited
GAN-based disentanglement learning for chest X-ray rib suppression
Luyi Han, Yuanyuan Lyu, Cheng Peng +1
Clinical evidence has shown that rib-suppressed chest X-rays (CXRs) can improve the reliability of pulmonary disease diagnosis. However, previous approaches on generating rib-suppr…
cs.CV2021★ 1 cited
Universal Undersampled MRI Reconstruction
Xinwen Liu, Jing Wang, Feng Liu +1
Deep neural networks have been extensively studied for undersampled MRI reconstruction. While achieving state-of-the-art performance, they are trained and deployed specifically for…
cs.CV2019
One-to-one Mapping for Unpaired Image-to-image Translation
Zengming Shen, S. Kevin Zhou, Yifan Chen +3
Recently image-to-image translation has attracted significant interests in the literature, starting from the successful use of the generative adversarial network (GAN), to the intr…