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Maspero

Research Staff Other

Biography

Matteo is an assistant professor investigating adaptive Radiotherapy through automatic segmentation, speeding-up image acquisition/reconstruction and synthesis with the aid of deep learning. Since 2023, next to the research activities, he is also a medical physicist resident.

Background
Matteo is born in Como (Italy) in May 1989 and studied Physics at Insubria University graduating (cum laude) in March 2014. In those years he gained interest in experimental Physics, with a predilection for particle detectors. Following this interest, he had the opportunity to perform profilometry measurements of an anti-proton beam. He also developed a detector for spectral measurements of neutrons produced by an in-hospital linear accelerator.
After getting in touch with the hospital environment and feeling the need of broadening his horizons, he decided to step into the field of medical imaging, where, by chance, detectors are somehow involved. From May 2014 to May 2018 he was enrolled as a PhD candidate at the Radiotherapy Department of the Universitair Medisch Centrum Utrecht (The Netherlands). During his PhD project, he had the luck to discover the beauty of magnetic resonance imaging in the practical realm of radiotherapy.
Until December 2021, Matteo was employed as a post-doc/clinical scientist facilitating the clinical implementation of deep learning methods in the radiotherapy department and ideating/validating approaches for future use, e.g., in the field of data-driven image reconstruction.

In January 2022, Matteo was appointed assistant professor, continuing his clinical support, teaching, and research activities within the radiotherapy department and Computational Imaging group.

Since February 2023, Matteo is also a medical physicist resident, aiming at deepening clinical knowledge and facilitating clinical innovation.

Nowadays, Matteo still enjoys combining research and clinical activities.

Recent publications

Deep learning-based relaxometry from conventional brain MRI: applications to a large-scale, clinically heterogeneous dataset Jelmer van Lune, Stefano Mandija, Oscar van der Heide, Matteo Maspero, Martin Schilder, Cornelis van den Berg, Alessandro Sbrizzi
2026
Standardizing MRI-only radiotherapy commissioning Davide Cusumano, Matteo Maspero, Luca Vellini, Emilie Alvarez-Michael, Anaïs Barateau, Igor Bessieres, Omar Bohoudi, Riccardo Dal Bello, Stéphane Dufreneix, Christopher Kurz, Guillaume Landry, Lisa Milan, Miguel A Palacios, Gabriella Pastore, Charlotte Robert, Enrica Seravalli, Natalia Tejedor, Petra Trnkova, Fernanda Villegas, Laure Vieillevigne, Jonathan Wyatt, Poonam Yadav, Lorenzo Placidi, Marco Fusella
Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology, 2026, vol. 219
Reply to comment on impact of deep learning on CT-based organ-at-risk delineation for flank irradiation in paediatric renal tumours Mianyong Ding, Matteo Maspero, Semi Harrabi, Emmanuel Jouglar, Sabina Vennarini, Timothy Spencer, Britta Weber, Henriette Magelssen, Karen Van Beek, Remus Stoica, Simonetta Saldi, Tom Boterberg, Patrick Melchior, Marry M. van den Heuvel-Eibrink, Geert O. Janssens
Clinical and translational radiation oncology, 2026, vol. 57
Impact of deep learning on CT-based organ-at-risk delineation for flank irradiation in paediatric renal tumours Mianyong Ding, Matteo Maspero, Semi Harrabi, Emmanuel Jouglar, Sabina Vennarini, Timothy Spencer, Britta Weber, Henriette Magelssen, Karen Van Beek, Remus Stoica, Simonetta Saldi, Tom Boterberg, Patrick Melchior, Marry M. van den Heuvel-Eibrink, Geert O. Janssens
Clinical and translational radiation oncology, 2026, vol. 56
Retrospective relaxometry from conventional contrasts by physics-informed deep learning: A pilot on Tumor, MS, Stroke and Epilepsy patients Jelmer van Lune, Stefano Mandija, Martin Schilder, Luuk Jacobs, Jordi Kleinloog, Matteo Maspero, Sarah Jacobs, Cornelis van den Berg, Alessandro Sbrizzi
2025
Robust deformable image registration using synthetic data and transfer learning Iris Kolenbrander, M Maspero, Josien Pluim
Journal of Machine Learning for Biomedical Imaging, 2025, vol. 3, p.287-310