2 citations · 4 across the 6 of their papers we have counts for
6 papers
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…
Online Reflective Learning for Robust Medical Image Segmentation
Yuhao Huang, Xin Yang, Xiaoqiong Huang +7
Deep segmentation models often face the failure risks when the testing image presents unseen distributions. Improving model robustness against these risks is crucial for the large-…
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…
Sketch guided and progressive growing GAN for realistic and editable ultrasound image synthesis
Jiamin Liang, Xin Yang, Yuhao Huang +7
Ultrasound (US) imaging is widely used for anatomical structure inspection in clinical diagnosis. The training of new sonographers and deep learning based algorithms for US image a…
Contrastive Rendering for Ultrasound Image Segmentation
Haoming Li, Xin Yang, Jiamin Liang +12
Ultrasound (US) image segmentation embraced its significant improvement in deep learning era. However, the lack of sharp boundaries in US images still remains an inherent challenge…
Synthesis and Edition of Ultrasound Images via Sketch Guided Progressive Growing GANs
Jiamin Liang, Xin Yang, Haoming Li +10
Ultrasound (US) is widely accepted in clinic for anatomical structure inspection. However, lacking in resources to practice US scan, novices often struggle to learn the operation s…