Retrospective respiratory motion correction in cardiac cine MRI reconstruction using adversarial autoencoder and unsupervised learning
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DOI: 10.1002/nbm.4433
Abstract: The aim of this study was to develop a deep neural network for respiratory motion compensation in free‐breathing cine MRI and evaluate its performance. An adversarial autoencoder network was trained using unpaired training data from… read more here.
Keywords: adversarial autoencoder; motion; network; motion corrupted ... See more keywords