2 citations · 2 across the 3 of their papers we have counts for
3 papers
eess.IV2025
A Self-training Framework for Semi-supervised Pulmonary Vessel Segmentation and Its Application in COPD
Shuiqing Zhao, Meihuan Wang, Jiaxuan Xu +6
Background: It is fundamental for accurate segmentation and quantification of the pulmonary vessel, particularly smaller vessels, from computed tomography (CT) images in chronic ob…
eess.IV2023★ 2 cited
Multi-site, Multi-domain Airway Tree Modeling (ATM'22): A Public Benchmark for Pulmonary Airway Segmentation
Minghui Zhang, Yangqian Wu, Hanxiao Zhang +33
Open international challenges are becoming the de facto standard for assessing computer vision and image analysis algorithms. In recent years, new methods have extended the reach o…
eess.IV2022
Two-stage Contextual Transformer-based Convolutional Neural Network for Airway Extraction from CT Images
Yanan Wu, Shuiqing Zhao, Shouliang Qi +8
Accurate airway extraction from computed tomography (CT) images is a critical step for planning navigation bronchoscopy and quantitative assessment of airway-related chronic obstru…