Matteo Maspero

According to our database, Matteo Maspero authored at least 19 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Generating synthetic computed tomography for radiotherapy: SynthRAD2025 challenge report.

Viktor Rogowski, Maarten L. Terpstra, Niklas Wahl, Florian Kamp, Erik van der Bijl, Arthur Jr Galapon, Christopher Kurz, Bowen Xin, Zhengxiang Sun, Hollie Min, Gregg Belous, Jason Dowling, Yan Xia, Siyuan Mei, Fuxin Fan, Arthur Longuefosse, Javier Sequeiro González, Miguel Díaz Benito, Álvaro García-Martín, Fabien Baldacci, Valentin Boussot, Cédric Hémon, Jean-Claude Nunes, Jean-Louis Dillenseger, Zhiyuan Zhang, Jinghua Cai, Han Bing, Tan Zuopeng, Ricardo Coimbra Brioso, Daniele Loiacono, Guillaume Landry, Adrian Thummerer, Matteo Maspero

CoRR, May, 2026

Overcoming data scarcity through multi-center federated learning for organs-at-risk segmentation in pediatric upper abdominal radiotherapy.

Mianyong Ding, Maximilian Knoll, Semi Harrabi, Martine van Grotel, Annemieke S. Littooij, Max van Noesel, Jens-Peter Schenk, Marry M. van den Heuvel-Eibrink, Geert O. R. Janssens, Matteo Maspero

CoRR, May, 2026

DoseRAD2026 Challenge dataset: AI accelerated photon and proton dose calculation for radiotherapy.

Fan Xiao, Nikolaos Delopoulos, Niklas Wahl, Lennart Volz, Lina Bucher, Matteo Maspero, Miguel Palacios, Muheng Li, Samir Schulz, Viktor Rogowski, Ye Zhang, Zoltán Perkó, Christopher Kurz, George Dedes, Guillaume Landry, Adrian Thummerer

CoRR, April, 2026

Quantitative mapping from conventional MRI using self-supervised physics-guided deep learning: applications to a large-scale, clinically heterogeneous dataset.

Jelmer van Lune, Stefano Mandija, Oscar van der Heide, Matteo Maspero, Martin B. Schilder, Jan Willem Dankbaar, Cornelis A. T. van den Berg, Alessandro Sbrizzi

CoRR, January, 2026

MRIgRT real-time target tracking: TrackRAD2025 challenge report.

Tom Blöcker, Pia A. W. Görts, Yiling Wang, Elia Lombardo, Adrian Thummerer, Yu Fan, Yue Zhao, Christianna Iris Papadopoulou, Coen Hurkmans, Rob H. N. Tijssen, Davide Cusumano, Martijn P. W. Intven, Pim Borman, Marco Riboldi, Denis Dudás, Hilary L. Byrne, Lorenzo Placidi, Marco Fusella, Michael Jameson, Miguel Palacios, Paul Cobussen, Tobias Finazzi, Shyama U. Tetar, Cornelis J. A. Haasbeek, Paul J. Keall, Matteo Maspero, Christopher Kurz, Amparo Soeli Betancourt Tarifa, Kailin He, Shengqian Zhu, Ying Song, Guangjun Li, Junjie Hu, Felix Knispel, Sergios Gatidis, Hung Chu, Jiapan Guo, Maximilian Nielsen, Thilo Sentker, Valentin Boussot, Cédric Hémon, Jing Ni, Konstantinos Georgas, Theodoros P. Vagenas, George K. Matsopoulos, Guillaume Landry

Medical Image Anal., 2026

2025

TrackRAD2025 challenge dataset: Real-time tumor tracking for MRI-guided radiotherapy.

Yiling Wang, Elia Lombardo, Adrian Thummerer, Tom Blöcker, Yu Fan, Yue Zhao, Christianna Iris Papadopoulou, Coen Hurkmans, Rob H. N. Tijssen, Pia A. W. Görts, Shyama U. Tetar, Davide Cusumano, Martijn P. W. Intven, Pim Borman, Marco Riboldi, Denis Dudás, Hilary L. Byrne, Lorenzo Placidi, Marco Fusella, Michael Jameson, Miguel Palacios, Paul Cobussen, Tobias Finazzi, Cornelis J. A. Haasbeek, Paul J. Keall, Christopher Kurz, Guillaume Landry, Matteo Maspero

CoRR, March, 2025

SynthRAD2025 Grand Challenge dataset: generating synthetic CTs for radiotherapy.

Adrian Thummerer, Erik van der Bijl, Arthur Jr Galapon, Florian Kamp, Mark Savenije, Christina Muijs, Shafak Aluwini, Roel J. H. M. Steenbakkers, Stephanie Beuel, Martijn P. W. Intven, Johannes A. Langendijk, Stefan Both, Stefanie Corradini, Viktor Rogowski, Maarten L. Terpstra, Niklas Wahl, Christopher Kurz, Guillaume Landry, Matteo Maspero

CoRR, February, 2025

2024

Validation of SynthSeg segmentation performance on CT using paired MRI from radiotherapy patients.

Selena Huisman, Matteo Maspero, Marielle Philippens, Joost J. C. Verhoeff, Szabolcs David

NeuroImage, 2024

Generating synthetic computed tomography for radiotherapy: SynthRAD2023 challenge report.

Evi M. C. Huijben, Maarten L. Terpstra, Arthur Jr Galapon, Suraj Pai, Adrian Thummerer, Peter Koopmans, Manya Afonso, Maureen A. J. M. van Eijnatten, Oliver J. Gurney-Champion, Zeli Chen, Yiwen Zhang, Kaiyi Zheng, Chuanpu Li, Haowen Pang, Chuyang Ye, Runqi Wang, Tao Song, Fuxin Fan, Jingna Qiu, Yixing Huang, Juhyung Ha, Jong Sung Park, Alexandra Alain-Beaudoin, Silvain Bériault, Pengxin Yu, Hongbin Guo, Zhanyao Huang, Gengwan Li, Xueru Zhang, Yubo Fan, Han Liu, Bowen Xin, Aaron Nicolson, Lujia Zhong, Zhiwei Deng, Gustav Müller-Franzes, Firas Khader, Xia Li, Ye Zhang, Cédric Hémon, Valentin Boussot, Zhihao Zhang, Long Wang, Lu Bai, Shaobin Wang, Derk Mus, Bram Kooiman, Chelsea A. H. Sargeant, Edward G. A. Henderson, Satoshi Kondo, Satoshi Kasai, Reza Karimzadeh, Bulat Ibragimov, Thomas Helfer, Jessica Dafflon, Zijie Chen, Enpei Wang, Zoltán Perkó, Matteo Maspero

Medical Image Anal., 2024

Deep learning-based auto-contouring of organs/structures-at-risk for pediatric upper abdominal radiotherapy.

Mianyong Ding, Matteo Maspero, Annemieke S. Littooij, Martine van Grotel, Raquel Davila Fajardo, Max M. van Noesel, Marry M. van den Heuvel-Eibrink, Geert O. R. Janssens

CoRR, 2024

Deep learning-based brain segmentation model performance validation with clinical radiotherapy CT.

Selena Huisman, Matteo Maspero, Marielle Philippens, Joost J. C. Verhoeff, Szabolcs David

CoRR, 2024

Assessing the Robustness of Image Registration Models Under Domain Shifts with Learnable Input Images.

Iris Kolenbrander, Vidya Prasad, Leanne Zikken, Maureen A. J. M. van Eijnatten, Matteo Maspero, Josien P. W. Pluim

Proceedings of the Biomedical Image Registration - 11th International Workshop, 2024

2023

Generalizable synthetic MRI with physics-informed convolutional networks.

Luuk Jacobs, Stefano Mandija, Hongyan Liu, Cornelis A. T. van den Berg, Alessandro Sbrizzi, Matteo Maspero

CoRR, 2023

SynthRAD2023 Grand Challenge dataset: generating synthetic CT for radiotherapy.

Adrian Thummerer, Erik van der Bijl, Arthur Jr Galapon, Joost J. C. Verhoeff, Johannes A. Langendijk, Stefan Both, Cornelis A. T. van den Berg, Matteo Maspero

CoRR, 2023

Exploring contrast generalisation in deep learning-based brain MRI-to-CT synthesis.

Lotte Nijskens, Cornelis A. T. van den Berg, Joost J. C. Verhoeff, Matteo Maspero

CoRR, 2023

2022

⊥-loss: A symmetric loss function for magnetic resonance imaging reconstruction and image registration with deep learning.

Maarten L. Terpstra, Matteo Maspero, Alessandro Sbrizzi, Cornelis A. T. van den Berg

Medical Image Anal., 2022

2021

Deep learning-based synthetic-CT generation in radiotherapy and PET: a review.

Maria Francesca Spadea, Matteo Maspero, Paolo Zaffino, Joao Seco

CoRR, 2021

2019

CBCT-to-CT synthesis with a single neural network for head-and-neck, lung and breast cancer adaptive radiotherapy.

Matteo Maspero, Mark H. F. Savenije, Tristan C. F. van Heijst, Joost J. C. Verhoeff, Alexis N. T. J. Kotte, Anette C. Houweling, Cornelis A. T. van den Berg

CoRR, 2019

The impact of MRI-CT registration errors on deep learning-based synthetic CT generation.

Mateusz C. Florkow, Frank Zijlstra, Linda G. W. Kerkmeijer, Matteo Maspero, Cornelis A. T. van den Berg, Marijn van Stralen, Peter R. Seevinck

Proceedings of the Medical Imaging 2019: Image Processing, 2019