E. Loli Piccolomini

Orcid: 0000-0002-9951-3564

According to our database1, E. Loli Piccolomini authored at least 55 papers between 1993 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Space-Variant Total Variation boosted by learning techniques in few-view tomographic imaging.
CoRR, 2024

2023
CTprintNet: An Accurate and Stable Deep Unfolding Approach for Few-View CT Reconstruction.
Algorithms, June, 2023

Ambiguity in Solving Imaging Inverse Problems with Deep-Learning-Based Operators.
J. Imaging, 2023

A data-dependent regularization method based on the graph Laplacian.
CoRR, 2023

Deep image prior inpainting of ancient frescoes in the Mediterranean Alpine arc.
CoRR, 2023

RISING: A new framework for model-based few-view CT image reconstruction with deep learning.
Comput. Medical Imaging Graph., 2023

Graph Laplacian and Neural Networks for Inverse Problems in Imaging: GraphLaNet.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2023

2022
Constrained and Unconstrained Inverse Potts Modelling for Joint Image Super-Resolution and Segmentation.
Image Process. Line, 2022

To be or not to be stable, that is the question: understanding neural networks for inverse problems.
CoRR, 2022

RISING a new framework for few-view tomographic image reconstruction with deep learning.
CoRR, 2022

DeepCEL0 for 2D single-molecule localization in fluorescence microscopy.
Bioinform., 2022

Plug-and-Play gradient-based denoisers applied to CT image enhancement.
Appl. Math. Comput., 2022

2021
Efficient $\ell ^0$ Gradient-Based Super-Resolution for Simplified Image Segmentation.
IEEE Trans. Computational Imaging, 2021

A Survey on Variational Autoencoders from a Green AI Perspective.
SN Comput. Sci., 2021

Recursive Deep Prior Video: A super resolution algorithm for time-lapse microscopy of organ-on-chip experiments.
Medical Image Anal., 2021

A Model-Based Optimization Framework for Iterative Digital Breast Tomosynthesis Image Reconstruction.
J. Imaging, 2021

A Green Prospective for Learned Post-Processing in Sparse-View Tomographic Reconstruction.
J. Imaging, 2021

A survey on Variational Autoencoders from a GreenAI perspective.
CoRR, 2021

Plug-and-Play external and internal priors for image restoration.
CoRR, 2021

2020
Super-Resolution of Thermal Images Using an Automatic Total Variation Based Method.
Remote. Sens., 2020

On the inverse Potts functional for single-image super-resolution problems.
CoRR, 2020

Optimization methods for very accurate Digital Breast Tomosynthesis image reconstruction.
CoRR, 2020

2019
A fast splitting method for efficient Split Bregman iterations.
Appl. Math. Comput., 2019

Recurrent Neural Networks Applied to GNSS Time Series for Denoising and Prediction.
Proceedings of the 26th International Symposium on Temporal Representation and Reasoning, 2019

2018
Reconstruction of 3D X-ray CT images from reduced sampling by a scaled gradient projection algorithm.
Comput. Optim. Appl., 2018

Learning about Fashion exploiting the Big Multimedia Data.
Proceedings of the 29th IEEE Annual International Symposium on Personal, 2018

2017
A fast nonconvex Compressed Sensing algorithm for highly low-sampled MR images reconstruction.
CoRR, 2017

2016
Iterative Constrained Minimization for Vectorial TV Image Deblurring.
J. Math. Imaging Vis., 2016

2014
Constrained numerical optimization methods for blind deconvolution.
Numer. Algorithms, 2014

An automatic regularization parameter selection algorithm in the total variation model for image deblurring.
Numer. Algorithms, 2014

2013
NPTool: a Matlab software for nonnegative image restoration with Newton projection methods.
Numer. Algorithms, 2013

Scaling techniques for gradient projection-type methods in astronomical image deblurring.
Int. J. Comput. Math., 2013

2012
A feasible direction method for image restoration.
Optim. Lett., 2012

An improved Newton projection method for nonnegative deblurring of Poisson-corrupted images with Tikhonov regularization.
Numer. Algorithms, 2012

An efficient method for nonnegatively constrained Total Variation-based denoising of medical images corrupted by Poisson noise.
Comput. Medical Imaging Graph., 2012

2011
An iterative algorithm for large size least-squares constrained regularization problems.
Appl. Math. Comput., 2011

Quasi-Newton projection methods and the discrepancy principle in image restoration.
Appl. Math. Comput., 2011

2010
An iterative Lagrange method for the regularization of discrete ill-posed inverse problems.
Comput. Math. Appl., 2010

2009
An Algorithm for Image Denoising with Automatic Noise Estimate.
J. Math. Imaging Vis., 2009

2008
A projected Newton-CG method for nonnegative astronomical image deblurring.
Numer. Algorithms, 2008

2007
Fast methods for MR spectroscopic imaging.
Appl. Math. Comput., 2007

2006
Representation of High Resolution Images from Low Sampled Fourier Data: Applications to Dynamic MRI.
J. Math. Imaging Vis., 2006

2005
A descent method for regularization of ill-posed problems.
Optim. Methods Softw., 2005

A total variation regularization strategy in dynamic MRI.
Optim. Methods Softw., 2005

A B-spline parametric model for high resolution dynamic magnetic resonance imaging.
Appl. Math. Comput., 2005

2003
An experiment of parallel SPECT data reconstruction.
Parallel Algorithms Appl., 2003

A Parallel Software for the Reconstruction of Dynamic MRI Sequences.
Proceedings of the Recent Advances in Parallel Virtual Machine and Message Passing Interface,10th European PVM/MPI Users' Group Meeting, Venice, Italy, September 29, 2003

2002
Regularization methods in dynamic MRI.
Appl. Math. Comput., 2002

2001
Parallel Image Restoration with Domain Decomposition.
Real Time Imaging, 2001

2000
Parallel image restoration on parallel and distributed computers.
Parallel Comput., 2000

1999
The conjugate gradient regularization method in Computed Tomography problems.
Appl. Math. Comput., 1999

1995
An Experiment in Image Restoration Using Transputer Networks.
Parallel Algorithms Appl., 1995

The Parallel LU Factorization and the Cray TJD Programming Paradigms.
Proceedings of the Parallel Computing: State-of-the-Art and Perspectives, 1995

An Application of the Indirect Approximation Problem on Heterogeneous Computer Systems.
Proceedings of the Parallel Computing: State-of-the-Art and Perspectives, 1995

1993
A Domain Decomposition Method for Scattered Data Approximation on a Multiprocessor System.
Proceedings of the Parallel Computing: Trends and Applications, 1993


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