Davide Evangelista
Orcid: 0000-0001-6261-7717
According to our database1,
Davide Evangelista
authored at least 19 papers
between 2021 and 2025.
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Bibliography
2025
Neural network-based inversion of NMR dispersion profiles for enhanced analysis of food systems.
Neural Comput. Appl., February, 2025
Controlling Ensemble Variance in Diffusion Models: An Application for Reanalyses Downscaling.
CoRR, January, 2025
Adaptive Weighted Total Variation boosted by learning techniques in few-view tomographic imaging.
CoRR, January, 2025
To Be or Not to Be Stable, That Is the Question: Understanding Neural Networks for Inverse Problems.
SIAM J. Sci. Comput., 2025
2024
Regularization meets GreenAI: a new framework for image reconstruction in life sciences applications.
PhD thesis, 2024
CoRR, 2024
Space-Variant Total Variation boosted by learning techniques in few-view tomographic imaging.
CoRR, 2024
2023
J. Imaging, 2023
RISING: A new framework for model-based few-view CT image reconstruction with deep learning.
Comput. Medical Imaging Graph., 2023
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2023
Proceedings of the Numerical Computations: Theory and Algorithms, 2023
2022
RISING a new framework for few-view tomographic image reconstruction with deep learning.
CoRR, 2022
2021
SN Comput. Sci., 2021
A Green Prospective for Learned Post-Processing in Sparse-View Tomographic Reconstruction.
J. Imaging, 2021
Proceedings of the Machine Learning, Optimization, and Data Science, 2021