4 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.CV2020
Super-Resolution Domain Adaptation Networks for Semantic Segmentation via Pixel and Output Level Aligning
Junfeng Wu, Zhenjie Tang, Congan Xu +3
Recently, Unsupervised Domain Adaptation (UDA) has attracted increasing attention to address the domain shift problem in the semantic segmentation task. Although previous UDA metho…
eess.IV2019★ 4 cited
The Domain Shift Problem of Medical Image Segmentation and Vendor-Adaptation by Unet-GAN
Wenjun Yan, Yuanyuan Wang, Shengjia Gu +4
Convolutional neural network (CNN), in particular the Unet, is a powerful method for medical image segmentation. To date Unet has demonstrated state-of-art performance in many comp…
cs.CV2018★ 3 cited
Left Ventricle Segmentation via Optical-Flow-Net from Short-axis Cine MRI: Preserving the Temporal Coherence of Cardiac Motion
Wenjun Yan, Yuanyuan Wang, Zeju Li +2
Quantitative assessment of left ventricle (LV) function from cine MRI has significant diagnostic and prognostic value for cardiovascular disease patients. The temporal movement of…