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

52 papers

cs.CV2025

nnLandmark: A Self-Configuring Method for 3D Medical Landmark Detection

Alexandra Ertl, Stefan Denner, Robin Peretzke +8

Landmark detection is central to many medical applications, such as identifying critical structures for treatment planning or defining control points for biometric measurements. Ho…

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…

cs.CV2023★ 1 cited

PE-MED: Prompt Enhancement for Interactive Medical Image Segmentation

Ao Chang, Xing Tao, Xin Yang +5

Interactive medical image segmentation refers to the accurate segmentation of the target of interest through interaction (e.g., click) between the user and the image. It has been w…

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…

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…