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2020 – today
- 2024
[i9]Elena Morotti, Davide Evangelista, Andrea Sebastiani, Elena Loli Piccolomini:
Space-Variant Total Variation boosted by learning techniques in few-view tomographic imaging. CoRR abs/2404.16900 (2024)- [i8]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 abs/2407.10559 (2024) - 2023
- [j5]Andrea Asperti, Davide Evangelista, Samuele Marro, Fabio Merizzi:
Image embedding for denoising generative models. Artif. Intell. Rev. 56(12): 14511-14533 (2023) - [j4]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: 102156 (2023) - [j3]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): 133 (2023) - [c2]Davide Bianchi, Marco Donatelli, Davide Evangelista, Wenbin Li, Elena Loli Piccolomini:
Graph Laplacian and Neural Networks for Inverse Problems in Imaging: GraphLaNet. SSVM 2023: 175-186 - [i7]Andrea Asperti, Davide Evangelista, Samuele Marro, Fabio Merizzi:
Image Embedding for Denoising Generative Models. CoRR abs/2301.07485 (2023) - [i6]Davide Evangelista, Elena Morotti, Elena Loli Piccolomini, James G. Nagy:
Ambiguity in solving imaging inverse problems with deep learning based operators. CoRR abs/2305.19774 (2023) - [i5]Davide Bianchi, Davide Evangelista, Stefano Aleotti, Marco Donatelli, Elena Loli Piccolomini, Wenbin Li:
A data-dependent regularization method based on the graph Laplacian. CoRR abs/2312.16936 (2023) - 2022
- [i4]Davide Evangelista, Elena Morotti, Elena Loli Piccolomini:
RISING a new framework for few-view tomographic image reconstruction with deep learning. CoRR abs/2201.09777 (2022) - [i3]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 abs/2211.13692 (2022) - 2021
- [j2]Elena Morotti, Davide Evangelista, Elena Loli Piccolomini:
A Green Prospective for Learned Post-Processing in Sparse-View Tomographic Reconstruction. J. Imaging 7(8): 139 (2021) - [j1]Andrea Asperti, Davide Evangelista, Elena Loli Piccolomini:
A Survey on Variational Autoencoders from a Green AI Perspective. SN Comput. Sci. 2(4): 301 (2021) - [c1]Andrea Asperti, Davide Evangelista, Moreno Marzolla:
Dissecting FLOPs Along Input Dimensions for GreenAI Cost Estimations. LOD 2021: 86-100 - [i2]Andrea Asperti, Davide Evangelista, Elena Loli Piccolomini:
A survey on Variational Autoencoders from a GreenAI perspective. CoRR abs/2103.01071 (2021) - [i1]Andrea Asperti, Davide Evangelista, Moreno Marzolla:
Dissecting FLOPs along input dimensions for GreenAI cost estimations. CoRR abs/2107.11949 (2021)
Coauthor Index
aka: Elena Loli Piccolomini
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