The unprecedented success of image reconstruction approaches based on de...
In recent years, large convolutional neural networks have been widely us...
The solution of linear inverse problems arising, for example, in signal ...
This paper proposes a new two-step procedure for sparse-view tomographic...
In fluorescence microscopy, Single Molecule Localization Microscopy (SML...
Image restoration problems were traditionally formulated as the minimiza...
Biological experiments based on organ-on-chips (OOCs) exploit light
Time...
We consider a variational model for single-image super-resolution based ...
Digital Breast Tomosynthesis is an X-ray imaging technique that allows a...
In this paper we present a fast and efficient method for the reconstruct...