activity
20162025
most citedPatch-based Output Space Adversarial Learning for Joint Optic Disc and Cup Segmentation

316 citations · 941 across the 52 of their papers we have counts for

collaborators
Showing eess.IVShow all

20 papers · 1 filter

eess.IV2023

FFPN: Fourier Feature Pyramid Network for Ultrasound Image Segmentation

Chaoyu Chen, Xin Yang, Rusi Chen +7

Ultrasound (US) image segmentation is an active research area that requires real-time and highly accurate analysis in many scenarios. The detect-to-segment (DTS) frameworks have be…

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…

eess.IV2023★ 1 cited

GSMorph: Gradient Surgery for cine-MRI Cardiac Deformable Registration

Haoran Dou, Ning Bi, Luyi Han +7

Deep learning-based deformable registration methods have been widely investigated in diverse medical applications. Learning-based deformable registration relies on weighted objecti…

eess.IV2023

Hierarchical Agent-based Reinforcement Learning Framework for Automated Quality Assessment of Fetal Ultrasound Video

Sijing Liu, Qilong Ying, Shuangchi He +3

Ultrasound is the primary modality to examine fetal growth during pregnancy, while the image quality could be affected by various factors. Quality assessment is essential for contr…

eess.IV2022

Multi-Attribute Attention Network for Interpretable Diagnosis of Thyroid Nodules in Ultrasound Images

Van T. Manh, Jianqiao Zhou, Xiaohong Jia +7

Ultrasound (US) is the primary imaging technique for the diagnosis of thyroid cancer. However, accurate identification of nodule malignancy is a challenging task that can elude les…

eess.IV2022★ 1 cited

AWSnet: An Auto-weighted Supervision Attention Network for Myocardial Scar and Edema Segmentation in Multi-sequence Cardiac Magnetic Resonance Images

Kai-Ni Wang, Xin Yang, Juzheng Miao +7

Multi-sequence cardiac magnetic resonance (CMR) provides essential pathology information (scar and edema) to diagnose myocardial infarction. However, automatic pathology segmentati…