most citedJoint Semi-supervised 3D Super-Resolution and Segmentation with Mixed Adversarial Gaussian Domain Adaptation

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

eess.IV2021★ 2 cited

Joint Semi-supervised 3D Super-Resolution and Segmentation with Mixed Adversarial Gaussian Domain Adaptation

Nicolo Savioli, Antonio de Marvao, Wenjia Bai +5

Optimising the analysis of cardiac structure and function requires accurate 3D representations of shape and motion. However, techniques such as cardiac magnetic resonance imaging a…