224 citations · 279 across the 4 of their papers we have counts for
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MRI Super-Resolution with GAN and 3D Multi-Level DenseNet: Smaller, Faster, and Better
Yuhua Chen, Anthony G. Christodoulou, Zhengwei Zhou +3
High-resolution (HR) magnetic resonance imaging (MRI) provides detailed anatomical information that is critical for diagnosis in the clinical application. However, HR MRI typically…
Efficient and Accurate MRI Super-Resolution using a Generative Adversarial Network and 3D Multi-Level Densely Connected Network
Yuhua Chen, Feng Shi, Anthony G. Christodoulou +3
High-resolution (HR) magnetic resonance images (MRI) provide detailed anatomical information important for clinical application and quantitative image analysis. However, HR MRI con…
Calcium Removal From Cardiac CT Images Using Deep Convolutional Neural Network
Siming Yan, Feng Shi, Yuhua Chen +5
Coronary calcium causes beam hardening and blooming artifacts on cardiac computed tomography angiography (CTA) images, which lead to overestimation of lumen stenosis and reduction…
Brain MRI Super Resolution Using 3D Deep Densely Connected Neural Networks
Yuhua Chen, Yibin Xie, Zhengwei Zhou +3
Magnetic resonance image (MRI) in high spatial resolution provides detailed anatomical information and is often necessary for accurate quantitative analysis. However, high spatial…