5 citations · 13 across the 5 of their papers we have counts for
6 papers
Searching Collaborative Agents for Multi-plane Localization in 3D Ultrasound
Xin Yang, Yuhao Huang, Ruobing Huang +10
3D ultrasound (US) has become prevalent due to its rich spatial and diagnostic information not contained in 2D US. Moreover, 3D US can contain multiple standard planes (SPs) in one…
Agent with Warm Start and Adaptive Dynamic Termination for Plane Localization in 3D Ultrasound
Xin Yang, Haoran Dou, Ruobing Huang +9
Accurate standard plane (SP) localization is the fundamental step for prenatal ultrasound (US) diagnosis. Typically, dozens of US SPs are collected to determine the clinical diagno…
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…
Searching Collaborative Agents for Multi-plane Localization in 3D Ultrasound
Yuhao Huang, Xin Yang, Rui Li +10
3D ultrasound (US) is widely used due to its rich diagnostic information, portability and low cost. Automated standard plane (SP) localization in US volume not only improves effici…
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…
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…