activity
20202026
most citedRemove Appearance Shift for Ultrasound Image Segmentation via Fast and Universal Style Transfer

5 citations · 19 across the 17 of their papers we have counts for

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9 papers · 1 filter

cs.CV2026

Prototype Memory-Guided Training-Free Anomaly Classification and Localization in Prenatal Ultrasound

Huanwen Liang, Yuhao Huang, Xiliang Zhu +6

Prenatal anomaly classification and localization is of critical importance for fetal health and pregnancy management. Although ultrasound (US) is the primary modality for prenatal…

cs.CV2025

Medical-Knowledge Driven Multiple Instance Learning for Classifying Severe Abdominal Anomalies on Prenatal Ultrasound

Huanwen Liang, Jingxian Xu, Yuanji Zhang +11

Fetal abdominal malformations are serious congenital anomalies that require accurate diagnosis to guide pregnancy management and reduce mortality. Although AI has demonstrated sign…

cs.CV2023

Multi-IMU with Online Self-Consistency for Freehand 3D Ultrasound Reconstruction

Mingyuan Luo, Xin Yang, Zhongnuo Yan +7

Ultrasound (US) imaging is a popular tool in clinical diagnosis, offering safety, repeatability, and real-time capabilities. Freehand 3D US is a technique that provides a deeper un…

cs.CV2023

Inflated 3D Convolution-Transformer for Weakly-supervised Carotid Stenosis Grading with Ultrasound Videos

Xinrui Zhou, Yuhao Huang, Wufeng Xue +7

Localization of the narrowest position of the vessel and corresponding vessel and remnant vessel delineation in carotid ultrasound (US) are essential for carotid stenosis grading (…

cs.CV2022

Weakly-supervised High-fidelity Ultrasound Video Synthesis with Feature Decoupling

Jiamin Liang, Xin Yang, Yuhao Huang +8

Ultrasound (US) is widely used for its advantages of real-time imaging, radiation-free and portability. In clinical practice, analysis and diagnosis often rely on US sequences rath…

cs.CV2021

Statistical Dependency Guided Contrastive Learning for Multiple Labeling in Prenatal Ultrasound

Shuangchi He, Zehui Lin, Xin Yang +13

Standard plane recognition plays an important role in prenatal ultrasound (US) screening. Automatically recognizing the standard plane along with the corresponding anatomical struc…

cs.CV2021★ 4 cited

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…

cs.CV2020★ 4 cited

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…

cs.CV2020★ 2 cited

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…