3 citations · 5 across the 6 of their papers we have counts for
6 papers
Deep Unfolding Network for Nonlinear Multi-Frequency Electrical Impedance Tomography
Giovanni S. Alberti, Damiana Lazzaro, Serena Morigi +2
Multi-frequency Electrical Impedance Tomography (mfEIT) represents a promising biomedical imaging modality that enables the estimation of tissue conductivities across a range of fr…
Oracle-Net for nonlinear compressed sensing in Electrical Impedance Tomography reconstruction problems
Damiana Lazzaro, Serena Morigi, Luca Ratti
Sparse recovery principles play an important role in solving many nonlinear ill-posed inverse problems. We investigate a variational framework with support Oracle for compressed se…
Quantum median filter for Total Variation image denoising
Simone De Santis, Damiana Lazzaro, Riccardo Mengoni +1
In this new computing paradigm, named quantum computing, researchers from all over the world are taking their first steps in designing quantum circuits for image processing, throug…
A Fast Splitting Method for efficient Split Bregman Iterations
D. Lazzaro, E. Loli Piccolomini, F. Zama
In this paper we propose a new fast splitting algorithm to solve the Weighted Split Bregman minimization problem in the backward step of an accelerated Forward-Backward algorithm.…
Shape Partitioning via L Compressed Modes
Martin Huska, Damiana Lazzaro, Serena Morigi
The eigenfunctions of the Laplace Beltrami operator (Manifold Harmonics) define a function basis that can be used in spectral analysis on manifolds. In [21] the authors recast the…
A fast nonconvex Compressed Sensing algorithm for highly low-sampled MR images reconstruction
Damiana Lazzaro, Elena Loli Piccolomini, Fabiana Zama
In this paper we present a fast and efficient method for the reconstruction of Magnetic Resonance Images (MRI) from severely under-sampled data. From the Compressed Sensing theory…