The use of behavioural data in insurance is loaded with promises and
unr...
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...
Image restoration problems were traditionally formulated as the minimiza...
Digital Breast Tomosynthesis is an X-ray imaging technique that allows a...