Deep learning methods have been successfully used in various computer vision tasks. Inspired by that success, deep learning has been explored in magnetic resonance imaging (MRI) reconstruction. In ...

Owing to the success of neural network (NN)-based methods in solving inverse problems, recent works study their applicability in electrical impedance tomography (EIT). Deep NNs, especially ...