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 (Image Processing, 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)

Deep learning-based synthetic-CT generation in radiotherapy and PET: a review. - Maria Francesca Spadea; Matteo Maspero; Paolo Zaffino; Joao Seco (CoRR, 2021)

⊥-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)

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)

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)

Generalizable synthetic MRI with physics-informed convolutional networks. - Luuk Jacobs; Stefano Mandija; Hongyan Liu 006; Cornelis A. T. van den Berg; Alessandro Sbrizzi; Matteo Maspero (CoRR, 2023)

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 (WBIR, 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)

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)

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; et al. (Medical Image Anal., 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)

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; et al. (CoRR, 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; et al. (CoRR, 2025)