Matteo Santacesaria on Muck Rack

Matteo Santacesaria

Genoa
As seen in: Taylor & Francis Online
Associate professor @UniGenova, PI @malga_center
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Articles

Electrical Engineering and Systems Science > Image and Video Processing

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By Serena Morigi, Matteo Santacesaria, Damiana Lazzaro
| arxiv.org
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Open in Who Shared View Duplicates (636) Issue with article?

[2603.03196] Infinite dimensional generative sensing

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By Vito Paolo, Matteo Santacesaria
| arxiv.org
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Open in Who Shared View Duplicates (642) Issue with article?

TomoSelfDEQ: Self-Supervised Deep Equilibrium Learning for Sparse-Angle CT Reconstruction

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By Matteo Santacesaria, Andrea Sebastiani
| arxiv.org
[Submitted on 28 Feb 2025] Title:TomoSelfDEQ: Self-Supervised Deep Equilibrium Learning for Sparse-Angle CT Reconstruction View a PDF of the paper titled TomoSelfDEQ: Self-Supervised Deep Equilibrium Learning for Sparse-Angle CT Reconstruction, by Tatiana A. Bubba and 2 other authors View PDF HTML (experimental) Abstract:Deep learning has emerged as a powerful tool for solving inverse problems in imaging, including computed tomography (CT).
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