9 citations · 11 across the 3 of their papers we have counts for
3 papers
eess.IV2025★ 2 cited
Utilizing 3D Fast Spin Echo Anatomical Imaging to Reduce the Number of Contrast Preparations in Quantification of Knee Cartilage Using Learning-Based Methods
Junru Zhong, Chaoxing Huang, Ziqiang Yu +7
Purpose: To propose and evaluate an accelerated quantification method that combines -weighted fast spin echo (FSE) images and proton density (PD)-weighted anatomic…
eess.IV2024
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…
eess.IV2022★ 9 cited
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…