A Domain Decomposition Method for Scattered Data Approximation on a Multiprocessor System. - E. Loli Piccolomini; Fabiana Zama; V. Ruggioro (PARCO, 1993)

An Application of the Indirect Approximation Problem on Heterogeneous Computer Systems. - Elena Loli Piccolomini; Valeria Ruggiero; Fabiana Zama (PARCO, 1995)

The Parallel LU Factorization and the Cray TJD Programming Paradigms. - Elena Loli Piccolomini; Fabiana Zama (PARCO, 1995)

An Experiment in Image Restoration Using Transputer Networks. - Fabiana Zama; E. Loli Piccolomini (Parallel Algorithms Appl., 1995)

The conjugate gradient regularization method in Computed Tomography problems. - E. Loli Piccolomini; Fabiana Zama (Appl. Math. Comput., 1999)

Parallel image restoration on parallel and distributed computers. - Alessandro Bevilacqua; E. Loli Piccolomini (Parallel Comput., 2000)

Parallel Image Restoration with Domain Decomposition. - E. Loli Piccolomini; Fabiana Zama (Real Time Imaging, 2001)

Regularization methods in dynamic MRI. - E. Loli Piccolomini; Fabiana Zama; Gaetano Zanghirati; A. Formiconi (Appl. Math. Comput., 2002)

A Parallel Software for the Reconstruction of Dynamic MRI Sequences. - Germana Landi; E. Loli Piccolomini; Fabiana Zama (PVM/MPI, 2003)

An experiment of parallel SPECT data reconstruction. - E. Loli Piccolomini; Fabiana Zama (Parallel Algorithms Appl., 2003)

A B-spline parametric model for high resolution dynamic magnetic resonance imaging. - E. Loli Piccolomini; Germana Landi; Fabiana Zama (Appl. Math. Comput., 2005)

A total variation regularization strategy in dynamic MRI. - Germana Landi; Elena Loli Piccolomini (Optim. Methods Softw., 2005)

A descent method for regularization of ill-posed problems. - Fabiana Zama; Elena Loli Piccolomini (Optim. Methods Softw., 2005)

Representation of High Resolution Images from Low Sampled Fourier Data: Applications to Dynamic MRI. - Germana Landi; E. Loli Piccolomini (J. Math. Imaging Vis., 2006)

Fast methods for MR spectroscopic imaging. - Germana Landi; E. Loli Piccolomini (Appl. Math. Comput., 2007)

A projected Newton-CG method for nonnegative astronomical image deblurring. - Germana Landi; E. Loli Piccolomini (Numer. Algorithms, 2008)

An Algorithm for Image Denoising with Automatic Noise Estimate. - Germana Landi; E. Loli Piccolomini (J. Math. Imaging Vis., 2009)

An iterative Lagrange method for the regularization of discrete ill-posed inverse problems. - Germana Landi; E. Loli Piccolomini (Comput. Math. Appl., 2010)

Quasi-Newton projection methods and the discrepancy principle in image restoration. - Germana Landi; E. Loli Piccolomini (Appl. Math. Comput., 2011)

An iterative algorithm for large size least-squares constrained regularization problems. - E. Loli Piccolomini; Fabiana Zama (Appl. Math. Comput., 2011)

An efficient method for nonnegatively constrained Total Variation-based denoising of medical images corrupted by Poisson noise. - Germana Landi; E. Loli Piccolomini (Comput. Medical Imaging Graph., 2012)

An improved Newton projection method for nonnegative deblurring of Poisson-corrupted images with Tikhonov regularization. - Germana Landi; Elena Loli Piccolomini (Numer. Algorithms, 2012)

A feasible direction method for image restoration. - Germana Landi; E. Loli Piccolomini (Optim. Lett., 2012)

Scaling techniques for gradient projection-type methods in astronomical image deblurring. - Silvia Bonettini; Germana Landi; E. Loli Piccolomini; Luca Zanni (Int. J. Comput. Math., 2013)

NPTool: a Matlab software for nonnegative image restoration with Newton projection methods. - Germana Landi; Elena Loli Piccolomini (Numer. Algorithms, 2013)

An automatic regularization parameter selection algorithm in the total variation model for image deblurring. - Ke Chen 002; Elena Loli Piccolomini; Fabiana Zama (Numer. Algorithms, 2014)

Constrained numerical optimization methods for blind deconvolution. - Anastasia Cornelio; Elena Loli Piccolomini; James G. Nagy (Numer. Algorithms, 2014)

Iterative Constrained Minimization for Vectorial TV Image Deblurring. - Ke Chen 002; E. Loli Piccolomini; Fabiana Zama (J. Math. Imaging Vis., 2016)

A fast nonconvex Compressed Sensing algorithm for highly low-sampled MR images reconstruction. - Damiana Lazzaro; Elena Loli Piccolomini; Fabiana Zama (CoRR, 2017)

Learning about Fashion exploiting the Big Multimedia Data. - Alessia Angeli; Elena Loli Piccolomini; Gustavo Marfia (PIMRC, 2018)

Reconstruction of 3D X-ray CT images from reduced sampling by a scaled gradient projection algorithm. - E. Loli Piccolomini; Vanna Lisa Coli; Elena Morotti; Luca Zanni (Comput. Optim. Appl., 2018)

Recurrent Neural Networks Applied to GNSS Time Series for Denoising and Prediction. - Elena Loli Piccolomini; Stefano Gandolfi 001; Luca Poluzzi; Luca Tavasci; Pasquale Cascarano; Andrea Pascucci (TIME, 2019)

A fast splitting method for efficient Split Bregman iterations. - Damiana Lazzaro; E. Loli Piccolomini; Fabiana Zama (Appl. Math. Comput., 2019)

Optimization methods for very accurate Digital Breast Tomosynthesis image reconstruction. - Elena Morotti; Elena Loli Piccolomini (CoRR, 2020)

On the inverse Potts functional for single-image super-resolution problems. - Pasquale Cascarano; Luca Calatroni; Elena Loli Piccolomini (CoRR, 2020)

Super-Resolution of Thermal Images Using an Automatic Total Variation Based Method. - Pasquale Cascarano; Francesco Corsini; Stefano Gandolfi 001; Elena Loli Piccolomini; Emanuele Mandanici; Luca Tavasci; Fabiana Zama (Remote. Sens., 2020)

Plug-and-Play external and internal priors for image restoration. - Pasquale Cascarano; Elena Loli Piccolomini; Elena Morotti; Andrea Sebastiani (CoRR, 2021)

A survey on Variational Autoencoders from a GreenAI perspective. - Andrea Asperti; Davide Evangelista; Elena Loli Piccolomini (CoRR, 2021)

A Green Prospective for Learned Post-Processing in Sparse-View Tomographic Reconstruction. - Elena Morotti; Davide Evangelista; Elena Loli Piccolomini (J. Imaging, 2021)

A Model-Based Optimization Framework for Iterative Digital Breast Tomosynthesis Image Reconstruction. - Elena Loli Piccolomini; Elena Morotti (J. Imaging, 2021)

Recursive Deep Prior Video: A super resolution algorithm for time-lapse microscopy of organ-on-chip experiments. - Pasquale Cascarano; Maria Colomba Comes; Arianna Mencattini; Maria Carla Parrini; Elena Loli Piccolomini; Eugenio Martinelli (Medical Image Anal., 2021)

A Survey on Variational Autoencoders from a Green AI Perspective. - Andrea Asperti; Davide Evangelista; Elena Loli Piccolomini (SN Comput. Sci., 2021)

Efficient $ ell ^0$ Gradient-Based Super-Resolution for Simplified Image Segmentation. - Pasquale Cascarano; Luca Calatroni; Elena Loli Piccolomini (IEEE Trans. Computational Imaging, 2021)

Plug-and-Play gradient-based denoisers applied to CT image enhancement. - Pasquale Cascarano; Elena Loli Piccolomini; Elena Morotti; Andrea Sebastiani (Appl. Math. Comput., 2022)

DeepCEL0 for 2D single-molecule localization in fluorescence microscopy. - Pasquale Cascarano; Maria Colomba Comes; Andrea Sebastiani; Arianna Mencattini; Elena Loli Piccolomini; Eugenio Martinelli (Bioinform., 2022)

RISING a new framework for few-view tomographic image reconstruction with deep learning. - Davide Evangelista; Elena Morotti; Elena Loli Piccolomini (CoRR, 2022)

Constrained and Unconstrained Inverse Potts Modelling for Joint Image Super-Resolution and Segmentation. - Dario Mylonopoulos; Pasquale Cascarano; Luca Calatroni; Elena Loli Piccolomini (Image Process. Line, 2022)

Robust Non-convex Model-Based Approach for Deep Learning-Based Image Processing. - Elena Morotti; Davide Evangelista; Elena Loli Piccolomini (NUMTA (1), 2023)

Graph Laplacian and Neural Networks for Inverse Problems in Imaging: GraphLaNet. - Davide Bianchi; Marco Donatelli; Davide Evangelista; Wenbin Li 007; Elena Loli Piccolomini (SSVM, 2023)

RISING: A new framework for model-based few-view CT image reconstruction with deep learning. - Davide Evangelista; Elena Morotti; Elena Loli Piccolomini (Comput. Medical Imaging Graph., 2023)

Deep image prior inpainting of ancient frescoes in the Mediterranean Alpine arc. - Fabio Merizzi; Perrine Saillard; Oceane Acquier; Elena Morotti; Elena Loli Piccolomini; Luca Calatroni; Rosa Maria Dessì (CoRR, 2023)

Ambiguity in Solving Imaging Inverse Problems with Deep-Learning-Based Operators. - Davide Evangelista; Elena Morotti; Elena Loli Piccolomini; James G. Nagy (J. Imaging, 2023)

CTprintNet: An Accurate and Stable Deep Unfolding Approach for Few-View CT Reconstruction. - Elena Loli Piccolomini; Marco Prato; Margherita Scipione; Andrea Sebastiani (Algorithms, 2023)

Space-Variant Total Variation boosted by learning techniques in few-view tomographic imaging. - Elena Morotti; Davide Evangelista; Andrea Sebastiani; Elena Loli Piccolomini (CoRR, 2024)

Parallel Median Filter with Arbitrary Window Size and Image Depth. - Moreno Marzolla; Michele Ravaioli; Elena Loli Piccolomini (PDP, 2025)

Deep Guess acceleration for explainable image reconstruction in sparse-view CT. - Elena Loli Piccolomini; Davide Evangelista; Elena Morotti (Comput. Medical Imaging Graph., 2025)

A Data-Dependent Regularization Method Based on the Graph Laplacian. - Davide Bianchi; Davide Evangelista; Stefano Aleotti; Marco Donatelli; Elena Loli Piccolomini; Wenbin Li 007 (SIAM J. Sci. Comput., 2025)

To Be or Not to Be Stable, That Is the Question: Understanding Neural Networks for Inverse Problems. - Davide Evangelista; Elena Loli Piccolomini; Elena Morotti; James G. Nagy (SIAM J. Sci. Comput., 2025)

Adaptive Weighted Total Variation boosted by learning techniques in few-view tomographic imaging. - Elena Morotti; Davide Evangelista; Andrea Sebastiani; Elena Loli Piccolomini (CoRR, 2025)

Blind Restoration of High-Resolution Ultrasound Video. - Chu Chen; Kangning Cui; Pasquale Cascarano; Wei Tang; Elena Loli Piccolomini; Raymond H. Chan (CoRR, 2025)