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Journal Articles
- 2024
[j2]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:
Generating synthetic computed tomography for radiotherapy: SynthRAD2023 challenge report. Medical Image Anal. 97: 103276 (2024)- 2022
- [j1]Maarten L. Terpstra, Matteo Maspero, Alessandro Sbrizzi, Cornelis A. T. van den Berg:
⊥-loss: A symmetric loss function for magnetic resonance imaging reconstruction and image registration with deep learning. Medical Image Anal. 80: 102509 (2022)
Conference and Workshop Papers
- 2024
- [c2]Iris Kolenbrander, Vidya Prasad, Leanne Zikken, Maureen A. J. M. van Eijnatten, Matteo Maspero, Josien P. W. Pluim:
Assessing the Robustness of Image Registration Models Under Domain Shifts with Learnable Input Images. WBIR 2024: 101-111 - 2019
- [c1]Mateusz C. Florkow, Frank Zijlstra, Linda G. W. Kerkmeijer, Matteo Maspero, Cornelis A. T. van den Berg, Marijn van Stralen, Peter R. Seevinck:
The impact of MRI-CT registration errors on deep learning-based synthetic CT generation. Medical Imaging: Image Processing 2019: 1094938
Informal and Other Publications
- 2024
- [i6]Selena Huisman, Matteo Maspero, Marielle Philippens, Joost J. C. Verhoeff, Szabolcs David:
Deep learning-based brain segmentation model performance validation with clinical radiotherapy CT. CoRR abs/2406.17423 (2024) - 2023
- [i5]Lotte Nijskens, Cornelis A. T. van den Berg, Joost J. C. Verhoeff, Matteo Maspero:
Exploring contrast generalisation in deep learning-based brain MRI-to-CT synthesis. CoRR abs/2303.10202 (2023) - [i4]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:
SynthRAD2023 Grand Challenge dataset: generating synthetic CT for radiotherapy. CoRR abs/2303.16320 (2023) - [i3]Luuk Jacobs, Stefano Mandija, Hongyan Liu, Cornelis A. T. van den Berg, Alessandro Sbrizzi, Matteo Maspero:
Generalizable synthetic MRI with physics-informed convolutional networks. CoRR abs/2305.12570 (2023) - 2021
- [i2]Maria Francesca Spadea, Matteo Maspero, Paolo Zaffino, Joao Seco:
Deep learning-based synthetic-CT generation in radiotherapy and PET: a review. CoRR abs/2102.02734 (2021) - 2019
- [i1]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:
CBCT-to-CT synthesis with a single neural network for head-and-neck, lung and breast cancer adaptive radiotherapy. CoRR abs/1912.11136 (2019)
Coauthor Index
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last updated on 2024-11-04 21:39 CET by the dblp team
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