CRIS Current Research Information System

EVANGELISTA, DAVIDE

EVANGELISTA, DAVIDE  

DISI - DIPARTIMENTO DI INFORMATICA - SCIENZA E INGEGNERIA  

Ricercatori a tempo determinato  

Mostra records
Risultati 1 - 16 di 16 (tempo di esecuzione: 0.039 secondi).
Titolo Autore(i) Anno Periodico Editore Tipo File
LIP-CAR: A Learned Inverse Problem Approach for Medical Imaging with Contrast Agent Reduction Evangelista, D.; Morotti, E.; Colombo Serra, S.; Luo, P.; Valbusa, G.; Bianchi, D. 2026-01-01 - - 4.01 Contributo in Atti di convegno -
A Data-Dependent Regularization Method Based on the Graph Laplacian Bianchi, Davide; Evangelista, Davide; Aleotti, Stefano; Donatelli, Marco; Piccolomini, Elena Loli...; Li, Wenbin 2025-01-01 SIAM JOURNAL ON SCIENTIFIC COMPUTING - 1.01 Articolo in rivista graphlaplus-main.zip; graphLa (1).pdf
Deep Guess acceleration for explainable image reconstruction in sparse-view CT Loli Piccolomini, Elena; Evangelista, Davide; Morotti, Elena 2025-01-01 COMPUTERIZED MEDICAL IMAGING AND GRAPHICS - 1.01 Articolo in rivista 1-s2.0-S0895611125000394-main.pdf
Robust Non-convex Model-Based Approach for Deep Learning-Based Image Processing Morotti, Elena; Evangelista, Davide; Loli Piccolomini, Elena 2025-01-01 - Springer Nature Switzerland 2.01 Capitolo / saggio in libro paper255_morotti_final.pdf
TO BE OR NOT TO BE STABLE, THAT IS THE QUESTION: UNDERSTANDING NEURAL NETWORKS FOR INVERSE PROBLEMS Evangelista, D.; Piccolomini, E. L.; Morotti, E.; Nagy, J. G. 2025-01-01 SIAM JOURNAL ON SCIENTIFIC COMPUTING - 1.01 Articolo in rivista siam_sc25.pdf
Enhancing Food Quality Analysis: Deep Neural Network Inversion of NMRD Profiles with Quadrupolar Dips Davide Evangelista, Liwei Hu, Giovanni V. Spinelli, Fabiana Zama 2024-01-01 - - 4.03 Poster -
Enhancing NMR Analysis: Deep Neural Network Inversion of NMRD Profiles with Quadrupolar Dips Spinelli, GIOVANNI VITO; Zama, Fabiana; Evangelista, Davide; Hu, Liwei 2024-01-01 - - 4.02 Riassunto (Abstract) -
Inpainting with style: forcing style coherence to image inpainting with deep image prior Morotti, Elena; Merizzi, Fabio; Evangelista, Davide; Cascarano, Pasquale 2024-01-01 FRONTIERS IN COMPUTER SCIENCE - 1.01 Articolo in rivista fcomp-06-1478233 (1).pdf
Neural network-based inversion of NMR dispersion profiles for enhanced analysis of food systems Spinelli, Giovanni Vito; Evangelista, Davide; Hu, Liwei; Zama, Fabiana 2024-01-01 NEURAL COMPUTING & APPLICATIONS - 1.01 Articolo in rivista NMR_net_springer.pdf
Ambiguity in Solving Imaging Inverse Problems with Deep-Learning-Based Operators Evangelista D.; Morotti E.; Piccolomini E.L.; Nagy J. 2023-01-01 JOURNAL OF IMAGING - 1.01 Articolo in rivista jimaging23.pdf
Graph Laplacian and Neural Networks for Inverse Problems in Imaging: GraphLaNet Bianchi, D.; Donatelli, M.; Evangelista, D.; Li, W.; Piccolomini, E. L. 2023-01-01 - - 4.01 Contributo in Atti di convegno -
Image embedding for denoising generative models Asperti, Andrea; Evangelista, Davide; Marro, Samuele; Merizzi, Fabio 2023-01-01 ARTIFICIAL INTELLIGENCE REVIEW - 1.01 Articolo in rivista s10462-023-10504-5.pdf
RISING: A new framework for model-based few-view CT image reconstruction with deep learning Evangelista, D.; Morotti, E.; Loli Piccolomini, E. 2023-01-01 COMPUTERIZED MEDICAL IMAGING AND GRAPHICS - 1.01 Articolo in rivista main - RISING.pdf
Dissecting FLOPs Along Input Dimensions for GreenAI Cost Estimations Asperti, Andrea; Evangelista, Davide; Marzolla, Moreno 2022-01-01 - Springer 4.01 Contributo in Atti di convegno 2107.11949.pdf
A green prospective for learned post-processing in sparse-view tomographic reconstruction Morotti E.; Evangelista D.; Loli Piccolomini E. 2021-01-01 JOURNAL OF IMAGING - 1.01 Articolo in rivista jimaging-07-00139-v2.pdf
A Survey on Variational Autoencoders from a Green AI Perspective Asperti, Andrea; Evangelista, Davide; Loli Piccolomini, Elena 2021-01-01 SN COMPUTER SCIENCE - 1.01 Articolo in rivista Asperti2021_Article_ASurveyOnVariationalAutoencode.pdf