Adding a manifold-distance penalty to NETT yields a coercive learned regularizer with convergence guarantees and competitive CT reconstructions.
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Augmented NETT Regularization of Inverse Problems
Adding a manifold-distance penalty to NETT yields a coercive learned regularizer with convergence guarantees and competitive CT reconstructions.