Learning a stable approximation of an existing but unknown inverse mapping: application to the half-time circular Radon transform
{{output}}
Supervised deep learning-based methods have inspired a new wave of image reconstruction methods that implicitly learn effective regularization strategies from a set of training data. While they hold potential for improving image quality, they have also raised ... ...
