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Model-Aware Regularization For Learning Approaches To Inverse Problems
There are various inverse problems -- including reconstruction problems arising in medical imaging -- where one is often aware of the forward operator that maps variables of interest to the observations.
Deep Learning for Inverse Problems: Bounds and Regularizers
Inverse problems arise in a number of domains such as medical imaging, remote sensing, and many more, relying on the use of advanced signal and image processing approaches -- such as sparsity-driven techniques -- to determine their solution.
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