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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

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
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
Comparison of deep learning-based segmentation and registration using pre-treatment contours for online rectal delineation in magnetic resonance-guided radiotherapy Iris D. Kolenbrander, Koen M. Kuijer, Mark H.F. Savenije, Gert J. Meijer, Martijn P.W. Intven, Josien P.W. Pluim, Matteo Maspero
Physics and Imaging in Radiation Oncology, 2025, vol. 36
Impact of deep learning model uncertainty on manual corrections to MRI-based auto-segmentation in prostate cancer radiotherapy Viktor Rogowski, Angelica Svalkvist, Matteo Maspero, Tomas Janssen, Federica Carmen Maruccio, Jenny Gorgisyan, Jonas Scherman, Ida Häggström, Victor Wåhlstrand, Adalsteinn Gunnlaugsson, Martin P Nilsson, Mathieu Moreau, Nándor Vass, Niclas Pettersson, Christian Jamtheim Gustafsson
Journal of applied clinical medical physics, 2025, vol. 26
Harmonizing organ-at-risk structure names using open-source large language models Adrian Thummerer, Matteo Maspero, Erik van der Bijl, Stefanie Corradini, Claus Belka, Guillaume Landry, Christopher Kurz
Physics and Imaging in Radiation Oncology, 2025, vol. 35