24 citations · 73 across the 15 of their papers we have counts for
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A Relaxed Gradient Step Denoiser for Splitting Methods in Poisson Inverse Problems
Alessandro Benfenati
Plug and Play methods combine classical variational models with learned denoisers and have achieved strong results in imaging inverse problems. Their convergence has been widely st…
Plug and Play Splitting Techniques for Poisson Image Restoration
Alessandro Benfenati
Plug and Play (PnP) methods achieve remarkable results in the framework of image restoration problems for Gaussian data. Nonetheless, the theory available for the Gaussian case can…
A Modular Deep Learning-based Approach for Diffuse Optical Tomography Reconstruction
Alessandro Benfenati, Paola Causin, Martina Quinteri
Medical imaging is nowadays a pillar in diagnostics and therapeutic follow-up. Current research tries to integrate established - but ionizing - tomographic techniques with technolo…
A Learned-SVD approach for Regularization in Diffuse Optical Tomography
Alessandro Benfenati, Giuseppe Bisazza, Paola Causin
Diffuse Optical Tomography (DOT) is an emerging technology in medical imaging which employs light in the NIR spectrum to estimate the distribution of optical coefficients in biolog…
Scaling techniques for -subgradient projection methods
Silvia Bonettini, Alessandro Benfenati, Valeria Ruggiero
The recent literature on first order methods for smooth optimization shows that significant improvements on the practical convergence behaviour can be achieved with variable stepsi…