Cardiac Image Super-Resolution with Global Correspondence Using Multi-Atlas PatchMatch

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A Comprehensive guide to Bayesian Convolutional Neural Network with Variational Inference (2019, background): “It is applicable to many areas like medical imaging [54], face recognition [21] and so on.”
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network (2016, background): “This task, referred to as super-resolution (SR), finds direct applications in many areas such as HDTV [15], medical imaging [28, 33], satellite imaging [38], face recognition [17] and surveillance [53].”
Image Super-Resolution Using Very Deep Residual Channel Attention Networks (2018, methodology): “Image SR is used in various computer vision applications, ranging from security and surveillance imaging [13], medical imaging [14] to object recognition [8].”
A bi-ventricular cardiac atlas built from 1000+ high resolution MR images of healthy subjects and an analysis of shape and motion (2015, methodology): “Detail of the multi-atlas segmentation method can be referred to at (de Marvao et al., 2014; Shi et al., 2013a).”
Meta-SR: A Magnification-Arbitrary Network for Super-Resolution (2019, background): “And it has very wide application on security and surveillance imaging [7, 36], medical imaging [22], as well as satellite and aerial imaging [31].”