1 citations · 1 across the 2 of their papers we have counts for
4 papers
Risk-Routed Implicit Boundary Refinement for Robust Ultrasound Image Segmentation
Jingguo Qu, Xinyang Han, Xiang Wang +8
Medical ultrasound (US) image segmentation faces significant challenges due to speckle noise, low-contrast boundaries, acoustic shadowing, and acquisition variation across operator…
MedExpMem: Adapting Experience Memory for Differential Diagnosis
Qianhan Feng, Zhongzhen Huang, Yakun Zhu +4
Experienced physicians develop diagnostic expertise through clinical practice, acquiring not only disease knowledge but also the ability to differentiate confusable conditions. Cur…
Multiscale Switch for Semi-Supervised and Contrastive Learning in Medical Ultrasound Image Segmentation
Jingguo Qu, Xinyang Han, Yao Pu +8
Medical ultrasound image segmentation faces significant challenges due to limited labeled data and characteristic imaging artifacts including speckle noise and low-contrast boundar…
Adapting Vision-Language Foundation Model for Next Generation Medical Ultrasound Image Analysis
Jingguo Qu, Xinyang Han, Jia Ai +10
Vision-Language Foundation Models (VLFMs) exhibit remarkable generalization, yet their direct application to medical ultrasound is severely hindered by a profound modality gap. The…