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Uncertainty Estimation in Unsupervised MR-CT Synthesis of Scoliotic Spines

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Uncertainty estimations through approximate Bayesian inference provide interesting insights to deep neural networks' behavior. In unsupervised learning tasks, where expert labels are unavailable, it becomes ever more important to critique the model through unc... ...