9 citations · 13 across the 4 of their papers we have counts for
4 papers
ERANet: Edge Replacement Augmentation for Semi-Supervised Meniscus Segmentation with Prototype Consistency Alignment and Conditional Self-Training
Siyue Li, Yongcheng Yao, Junru Zhong +9
Manual segmentation is labor-intensive, and automatic segmentation remains challenging due to the inherent variability in meniscal morphology, partial volume effects, and low contr…
A Systematic Post-Processing Approach for Quantitative Imaging of Knee Articular Cartilage
Junru Zhong, Yongcheng Yao, Fan Xiao +7
Objective: To establish an automated pipeline for post-processing of quantitative spin-lattice relaxation time constant in the rotating frame () imaging of knee articular c…
Quantifying Knee Cartilage Shape and Lesion: From Image to Metrics
Yongcheng Yao, Weitian Chen
Imaging features of knee articular cartilage have been shown to be potential imaging biomarkers for knee osteoarthritis. Despite recent methodological advancements in image analysi…
Unsupervised Domain Adaptation for Automated Knee Osteoarthritis Phenotype Classification
Junru Zhong, Yongcheng Yao, Donal G. Cahill +7
Purpose: The aim of this study was to demonstrate the utility of unsupervised domain adaptation (UDA) in automated knee osteoarthritis (OA) phenotype classification using a small d…