5 citations · 5 across the 2 of their papers we have counts for
3 papers
eess.IV2021
Generalize Ultrasound Image Segmentation via Instant and Plug & Play Style Transfer
Zhendong Liu, Xiaoqiong Huang, Xin Yang +8
Deep segmentation models that generalize to images with unknown appearance are important for real-world medical image analysis. Retraining models leads to high latency and complex…
cs.CV2020
Region Proposal Network with Graph Prior and IoU-Balance Loss for Landmark Detection in 3D Ultrasound
Chaoyu Chen, Xin Yang, Ruobing Huang +10
3D ultrasound (US) can facilitate detailed prenatal examinations for fetal growth monitoring. To analyze a 3D US volume, it is fundamental to identify anatomical landmarks of the e…
eess.IV2020★ 5 cited
Remove Appearance Shift for Ultrasound Image Segmentation via Fast and Universal Style Transfer
Zhendong Liu, Xin Yang, Rui Gao +9
Deep Neural Networks (DNNs) suffer from the performance degradation when image appearance shift occurs, especially in ultrasound (US) image segmentation. In this paper, we propose…