Matteo Maspero

According to our database, Matteo Maspero authored at least 10 papers between 2019 and 2024.

Collaborative distances:

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

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 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