Bianchi, Davide; Evangelista, Davide; Aleotti, Stefano; Donatelli, Marco; Piccolomini, Elena Loli; Li, Wenbin, A Data-Dependent Regularization Method Based on the Graph Laplacian, «SIAM JOURNAL ON SCIENTIFIC COMPUTING», 2025, 47, pp. 369 - 398 [Scientific article]Open Access
Loli Piccolomini, Elena; Evangelista, Davide; Morotti, Elena, Deep Guess acceleration for explainable image reconstruction in sparse-view CT, «COMPUTERIZED MEDICAL IMAGING AND GRAPHICS», 2025, 123, Article number: 102530 , pp. 1 - 12 [Scientific article]Open Access
Morotti, Elena; Evangelista, Davide; Loli Piccolomini, Elena, Robust Non-convex Model-Based Approach for Deep Learning-Based Image Processing, in: Numerical Computations: Theory and Algorithms, Cham, Springer Nature Switzerland, 2025, pp. 360 - 367 (LECTURE NOTES IN COMPUTER SCIENCE) [Chapter or essay]
Evangelista, D.; Piccolomini, E. L.; Morotti, E.; Nagy, J. G., TO BE OR NOT TO BE STABLE, THAT IS THE QUESTION: UNDERSTANDING NEURAL NETWORKS FOR INVERSE PROBLEMS, «SIAM JOURNAL ON SCIENTIFIC COMPUTING», 2025, 47, pp. 77 - 99 [Scientific article]Open Access
Davide Evangelista, Liwei Hu, Giovanni V. Spinelli, Fabiana Zama, Enhancing Food Quality Analysis: Deep Neural Network Inversion of NMRD Profiles with Quadrupolar Dips, in: 7th International Conference on Foodomics - ICF2024, 2024(atti di: 7th International Conference on Foodomics - ICF2024, Cesena, 14-16 February 2024) [Poster]
Spinelli, GIOVANNI VITO; Zama, Fabiana; Evangelista, Davide; Hu, Liwei, Enhancing NMR Analysis: Deep Neural Network Inversion of NMRD Profiles with Quadrupolar Dips, in: Enhancing NMR Analysis: Deep Neural Network Inversion of NMRD Profiles with Quadrupolar Dips, 2024, pp. 1 - 1 (atti di: Modelling, Data Analytics and AI in Engineering, Porto, Portugal, July 2 - 5) [Abstract]
Morotti, Elena; Merizzi, Fabio; Evangelista, Davide; Cascarano, Pasquale, Inpainting with style: forcing style coherence to image inpainting with deep image prior, «FRONTIERS IN COMPUTER SCIENCE», 2024, 6, pp. 1 - 14 [Scientific article]Open Access
Spinelli, Giovanni Vito; Evangelista, Davide; Hu, Liwei; Zama, Fabiana, Neural network-based inversion of NMR dispersion profiles for enhanced analysis of food systems, «NEURAL COMPUTING & APPLICATIONS», 2024, 37, pp. 1 - 16 [Scientific article]
Evangelista D.; Morotti E.; Piccolomini E.L.; Nagy J., Ambiguity in Solving Imaging Inverse Problems with Deep-Learning-Based Operators, «JOURNAL OF IMAGING», 2023, 9, Article number: 133 , pp. 1 - 15 [Scientific article]Open Access
Bianchi, D.; Donatelli, M.; Evangelista, D.; Li, W.; Piccolomini, E. L., Graph Laplacian and Neural Networks for Inverse Problems in Imaging: GraphLaNet, in: Lecture Notes in Computer Science, 2023, 14009, pp. 175 - 186 (atti di: SSVM 2023, Cagliari, 21-25 Maggio 2023) [Contribution to conference proceedings]
Asperti, Andrea; Evangelista, Davide; Marro, Samuele; Merizzi, Fabio, Image embedding for denoising generative models, «ARTIFICIAL INTELLIGENCE REVIEW», 2023, 56, pp. 14511 - 14533 [Scientific article]Open Access
Evangelista, D.; Morotti, E.; Loli Piccolomini, E., RISING: A new framework for model-based few-view CT image reconstruction with deep learning, «COMPUTERIZED MEDICAL IMAGING AND GRAPHICS», 2023, 103, Article number: 102156 , pp. 1 - 8 [Scientific article]Open Access
Asperti, Andrea; Evangelista, Davide; Marzolla, Moreno, Dissecting FLOPs Along Input Dimensions for GreenAI Cost Estimations, in: International Conference on Machine Learning, Optimization, and Data Science, Springer, 2022, 13164, pp. 86 - 100 (atti di: 7th International Conference on Machine Learning, Optimization, and Data Science, LOD 2021, Grasmere, United Kingdom, 4-8 october 2021) [Contribution to conference proceedings]Open Access
Morotti E.; Evangelista D.; Loli Piccolomini E., A green prospective for learned post-processing in sparse-view tomographic reconstruction, «JOURNAL OF IMAGING», 2021, 7, Article number: 139 , pp. 1 - 14 [Scientific article]Open Access
Asperti, Andrea; Evangelista, Davide; Loli Piccolomini, Elena, A Survey on Variational Autoencoders from a Green AI Perspective, «SN COMPUTER SCIENCE», 2021, 2, Article number: 301 , pp. 1 - 23 [Scientific article]Open Access
