Numerical simulations, generally based on equations that describe a given model and on initial data, are being applied in an ever-expanding range of scientific disciplines to approximate processes at ...

In order to perform phase unwrapping in lens-free microscopy with a CNN based-solution and address issues of deep learning, here we propose an approach that alternates between the deep learning and ...

The integration of deep learning techniques and physics-driven designs is reforming the way we address inverse problems, in which accurate physical properties are extracted from complex observations.