Davide Evangelista

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 16

Top Topics

Image Reconstruction

Inverse Problems

Top Venues

Artif. Intell. Rev.

Publications

Elena Morotti, Davide Evangelista, Andrea Sebastiani, Elena Loli Piccolomini
Space-Variant Total Variation boosted by learning techniques in few-view tomographic imaging. CoRR (2024)
Davide Bianchi, Sonia Colombo Serra, Davide Evangelista, Pengpeng Luo, Elena Morotti, Giovanni Valbusa
LIP-CAR: contrast agent reduction by a deep learned inverse problem. CoRR (2024)
Davide Bianchi, Davide Evangelista, Stefano Aleotti, Marco Donatelli, Elena Loli Piccolomini, Wenbin Li
A data-dependent regularization method based on the graph Laplacian. CoRR (2023)
Davide Evangelista, Elena Morotti, Elena Loli Piccolomini, James G. Nagy
Ambiguity in solving imaging inverse problems with deep learning based operators. CoRR (2023)
Davide Evangelista, Elena Morotti, Elena Loli Piccolomini, James G. Nagy
Ambiguity in Solving Imaging Inverse Problems with Deep-Learning-Based Operators. J. Imaging 9 (7) (2023)
Davide Bianchi, Marco Donatelli, Davide Evangelista, Wenbin Li, Elena Loli Piccolomini
Graph Laplacian and Neural Networks for Inverse Problems in Imaging: GraphLaNet. SSVM (2023)
Andrea Asperti, Davide Evangelista, Samuele Marro, Fabio Merizzi
Image Embedding for Denoising Generative Models. CoRR (2023)
Andrea Asperti, Davide Evangelista, Samuele Marro, Fabio Merizzi
Image embedding for denoising generative models. Artif. Intell. Rev. 56 (12) (2023)
Davide Evangelista, Elena Morotti, Elena Loli Piccolomini
RISING: A new framework for model-based few-view CT image reconstruction with deep learning. Comput. Medical Imaging Graph. 103 (2023)
Davide Evangelista, Elena Morotti, Elena Loli Piccolomini
RISING a new framework for few-view tomographic image reconstruction with deep learning. CoRR (2022)
Davide Evangelista, James G. Nagy, Elena Morotti, Elena Loli Piccolomini
To be or not to be stable, that is the question: understanding neural networks for inverse problems. CoRR (2022)
Andrea Asperti, Davide Evangelista, Moreno Marzolla
Dissecting FLOPs Along Input Dimensions for GreenAI Cost Estimations. LOD (2021)
Elena Morotti, Davide Evangelista, Elena Loli Piccolomini
A Green Prospective for Learned Post-Processing in Sparse-View Tomographic Reconstruction. J. Imaging 7 (8) (2021)
Andrea Asperti, Davide Evangelista, Elena Loli Piccolomini
A Survey on Variational Autoencoders from a Green AI Perspective. SN Comput. Sci. 2 (4) (2021)
Andrea Asperti, Davide Evangelista, Moreno Marzolla
Dissecting FLOPs along input dimensions for GreenAI cost estimations. CoRR (2021)
Andrea Asperti, Davide Evangelista, Elena Loli Piccolomini
A survey on Variational Autoencoders from a GreenAI perspective. CoRR (2021)