activity
20232025
most citedOnUVS: Online Feature Decoupling Framework for High-Fidelity Ultrasound Video Synthesis

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2025

MReg: A Novel Regression Model with MoE-based Video Feature Mining for Mitral Regurgitation Diagnosis

Zhe Liu, Yuhao Huang, Lian Liu +9

Color Doppler echocardiography is a crucial tool for diagnosing mitral regurgitation (MR). Recent studies have explored intelligent methods for MR diagnosis to minimize user depend…

cs.CV2025

Hierarchical Corpus-View-Category Refinement for Carotid Plaque Risk Grading in Ultrasound

Zhiyuan Zhu, Jian Wang, Yong Jiang +10

Accurate carotid plaque grading (CPG) is vital to assess the risk of cardiovascular and cerebrovascular diseases. Due to the small size and high intra-class variability of plaque,…

cs.CV2024

Mitral Regurgitation Recognition based on Unsupervised Out-of-Distribution Detection with Residual Diffusion Amplification

Zhe Liu, Xiliang Zhu, Tong Han +7

Mitral regurgitation (MR) is a serious heart valve disease. Early and accurate diagnosis of MR via ultrasound video is critical for timely clinical decision-making and surgical int…

cs.CV2023

A Foundation Model for General Moving Object Segmentation in Medical Images

Zhongnuo Yan, Tong Han, Yuhao Huang +7

Medical image segmentation aims to delineate the anatomical or pathological structures of interest, playing a crucial role in clinical diagnosis. A substantial amount of high-quali…

eess.IV2023★ 1 cited

OnUVS: Online Feature Decoupling Framework for High-Fidelity Ultrasound Video Synthesis

Han Zhou, Dong Ni, Ao Chang +10

Ultrasound (US) imaging is indispensable in clinical practice. To diagnose certain diseases, sonographers must observe corresponding dynamic anatomic structures to gather comprehen…