1 citations · 2 across the 12 of their papers we have counts for
7 papers · 1 filter
A Line--Search--Based Stochastic Gradient Method for 3D Computed Tomography
Tatiana A. Bubba, Elena Morotti, Federica Porta +2
We introduce FB-LISA, a forward-backward (FB) generalization of a recently proposed line-search-based stochastic gradient algorithm to address the imaging problem of volumetric rec…
Adaptive Weighted Total Variation boosted by learning techniques in few-view tomographic imaging
Elena Morotti, Davide Evangelista, Andrea Sebastiani +1
This study presents the development of a spatially adaptive weighting strategy for Total Variation regularization, aimed at addressing under-determined linear inverse problems. The…
Deep Guess acceleration for explainable image reconstruction in sparse-view CT
Elena Loli Piccolomini, Davide Evangelista, Elena Morotti
Sparse-view Computed Tomography (CT) is an emerging protocol designed to reduce X-ray dose radiation in medical imaging. Traditional Filtered Back Projection algorithm reconstructi…
To be or not to be stable, that is the question: understanding neural networks for inverse problems
Davide Evangelista, James Nagy, Elena Morotti +1
The solution of linear inverse problems arising, for example, in signal and image processing is a challenging problem since the ill-conditioning amplifies, in the solution, the noi…
RISING a new framework for few-view tomographic image reconstruction with deep learning
Davide Evangelista, Elena Morotti, Elena Loli Piccolomini
This paper proposes a new two-step procedure for sparse-view tomographic image reconstruction. It is called RISING, since it combines an early-stopped Rapid Iterative Solver with a…
Plug-and-Play gradient-based denoisers applied to CT image enhancement
Pasquale Cascarano, Elena Loli Piccolomini, Elena Morotti +1
Blur and noise corrupting Computed Tomography (CT) images can hide or distort small but important details, negatively affecting the diagnosis. In this paper, we present a novel gra…
Optimization methods for very accurate Digital Breast Tomosynthesis image reconstruction
Elena Morotti, Elena Loli Piccolomini
Digital Breast Tomosynthesis is an X-ray imaging technique that allows a volumetric reconstruction of the breast, from a small number of low-dose two-dimensional projections. Altho…