Matteo Maspero

According to our database, Matteo Maspero authored at least 7 papers between 2019 and 2023.

Collaborative distances:

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

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 JC 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 JC 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