14 citations · 23 across the 2 of their papers we have counts for
2 papers
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…
eess.IV2022★ 14 cited
Denoising of Three-Dimensional Fast Spin Echo Magnetic Resonance Images of Knee Joints using Spatial-Variant Noise-Relevant Residual Learning of Convolution Neural Network
Shutian Zhao, Donal G. Cahill, Siyue Li +4
Two-dimensional (2D) fast spin echo (FSE) techniques play a central role in the clinical magnetic resonance imaging (MRI) of knee joints. Moreover, three-dimensional (3D) FSE provi…