Matteo Maspero

15 papers B 1Journal 13Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Quantitative mapping from conventional MRI using self-supervised physics-guided deep learning: applications to a large-scale, clinically heterogeneous dataset. CoRR 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
2025	J	`jnl`	SynthRAD2025 Grand Challenge dataset: generating synthetic CTs for radiotherapy. CoRR 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
2025	J	`jnl`	TrackRAD2025 challenge dataset: Real-time tumor tracking for MRI-guided radiotherapy. CoRR 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 Byrne, Lorenzo Placidi, Marco Fusella, Michael Jameson, Miguel Palacios, Paul Cobussen, Tobias Finazzi, Cornelis J. A. Haasbeek, Paul Keall, Christopher Kurz, Guillaume Landry, Matteo Maspero
2024	—	`conf`	Assessing the Robustness of Image Registration Models Under Domain Shifts with Learnable Input Images. WBIR Iris Kolenbrander, Vidya Prasad, Leanne Zikken, Maureen A. J. M. van Eijnatten, Matteo Maspero, Josien P. W. Pluim
2024	J	`jnl`	Deep learning-based auto-contouring of organs/structures-at-risk for pediatric upper abdominal radiotherapy. CoRR 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
2024	J	`jnl`	Deep learning-based brain segmentation model performance validation with clinical radiotherapy CT. CoRR Selena Huisman, Matteo Maspero, Marielle Philippens, Joost J. C. Verhoeff, Szabolcs David
2024	J	`jnl`	Generating synthetic computed tomography for radiotherapy: SynthRAD2023 challenge report. Medical Image Anal. 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
2024	J	`jnl`	Validation of SynthSeg segmentation performance on CT using paired MRI from radiotherapy patients. NeuroImage Selena Huisman, Matteo Maspero, Marielle Philippens, Joost J. C. Verhoeff, Szabolcs David
2023	J	`jnl`	Exploring contrast generalisation in deep learning-based brain MRI-to-CT synthesis. CoRR Lotte Nijskens, Cornelis A. T. van den Berg, Joost J. C. Verhoeff, Matteo Maspero
2023	J	`jnl`	Generalizable synthetic MRI with physics-informed convolutional networks. CoRR Luuk Jacobs, Stefano Mandija, Hongyan Liu, Cornelis A. T. van den Berg, Alessandro Sbrizzi, Matteo Maspero
2023	J	`jnl`	SynthRAD2023 Grand Challenge dataset: generating synthetic CT for radiotherapy. CoRR 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
2022	J	`jnl`	⊥-loss: A symmetric loss function for magnetic resonance imaging reconstruction and image registration with deep learning. Medical Image Anal. Maarten L. Terpstra, Matteo Maspero, Alessandro Sbrizzi, Cornelis A. T. van den Berg
2021	J	`jnl`	Deep learning-based synthetic-CT generation in radiotherapy and PET: a review. CoRR Maria Francesca Spadea, Matteo Maspero, Paolo Zaffino, Joao Seco
2019	J	`jnl`	CBCT-to-CT synthesis with a single neural network for head-and-neck, lung and breast cancer adaptive radiotherapy. CoRR 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
2019	B	`conf`	The impact of MRI-CT registration errors on deep learning-based synthetic CT generation. Image Processing Mateusz C. Florkow, Frank Zijlstra, Linda G. W. Kerkmeijer, Matteo Maspero, Cornelis A. T. van den Berg, Marijn van Stralen, Peter R. Seevinck