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2020 – today
- 2024
[j6]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)- [c3]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 - 2023
- [c2]Iris Kolenbrander, Evi M. C. Huijben, Johanna N. A. Bergmans, Kim F. M. van Bussel, Josien P. W. Pluim, Maureen A. J. M. van Eijnatten:
The Importance of Realistic Training Deformations for Respiratory CT Registration. ISBI 2023: 1-5 - [e2]Sharib Ali, Fons van der Sommen, Maureen van Eijnatten, Bartlomiej W. Papiez, Yueming Jin, Iris Kolenbrander:
Cancer Prevention Through Early Detection - Second International Workshop, CaPTion 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings. Lecture Notes in Computer Science 14295, Springer 2023, ISBN 978-3-031-45349-6 [contents] - 2022
- [c1]Clément Chadebec, Evi M. C. Huijben, Josien P. W. Pluim, Stéphanie Allassonnière, Maureen A. J. M. van Eijnatten:
An Image Feature Mapping Model for Continuous Longitudinal Data Completion and Generation of Synthetic Patient Trajectories. DGM4MICCAI@MICCAI 2022: 55-64 - [e1]Sharib Ali, Fons van der Sommen, Bartlomiej Wladyslaw Papiez, Maureen A. J. M. van Eijnatten, Yueming Jin, Iris Kolenbrander:
Cancer Prevention Through Early Detection - First International Workshop, CaPTion 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings. Lecture Notes in Computer Science 13581, Springer 2022, ISBN 978-3-031-17978-5 [contents] - 2021
- [j5]Jordi Minnema, Jan Wolff, Juha Koivisto, Felix Lucka, Kees Joost Batenburg, Tymour Forouzanfar, Maureen van Eijnatten:
Comparison of convolutional neural network training strategies for cone-beam CT image segmentation. Comput. Methods Programs Biomed. 207: 106192 (2021) - [j4]Maureen van Eijnatten, Leonardo Rundo, Kees Joost Batenburg, Felix Lucka, Emma Beddowes, Carlos Caldas, Ferdia A. Gallagher, Evis Sala, Carola-Bibiane Schönlieb, Ramona Woitek:
3D deformable registration of longitudinal abdominopelvic CT images using unsupervised deep learning. Comput. Methods Programs Biomed. 208: 106261 (2021) - [j3]Johannes Leuschner, Maximilian Schmidt, Poulami Somanya Ganguly, Vladyslav Andriiashen, Sophia Bethany Coban, Alexander Denker, Dominik F. Bauer, Amir Hadjifaradji, Kees Joost Batenburg, Peter Maass, Maureen van Eijnatten:
Quantitative Comparison of Deep Learning-Based Image Reconstruction Methods for Low-Dose and Sparse-Angle CT Applications. J. Imaging 7(3): 44 (2021) - 2020
- [i3]Maureen van Eijnatten, Leonardo Rundo, Kees Joost Batenburg, Felix Lucka, Emma Beddowes, Carlos Caldas, Ferdia A. Gallagher, Evis Sala, Carola-Bibiane Schönlieb, Ramona Woitek:
3D deformable registration of longitudinal abdominopelvic CT images using unsupervised deep learning. CoRR abs/2005.07545 (2020) - [i2]Sophia Bethany Coban, Vladyslav Andriiashen, Poulami Somanya Ganguly, Maureen van Eijnatten, Kees Joost Batenburg:
Parallel-beam X-ray CT datasets of apples with internal defects and label balancing for machine learning. CoRR abs/2012.13346 (2020)
2010 – 2019
- 2019
- [i1]Henri Der Sarkissian, Felix Lucka, Maureen van Eijnatten, Giulia Colacicco, Sophia Bethany Coban, Kees Joost Batenburg:
A Cone-Beam X-Ray CT Data Collection Designed for Machine Learning. CoRR abs/1905.04787 (2019) - 2018
- [j2]Jordi Minnema, Maureen van Eijnatten, Wouter M. Kouw, Faruk Diblen, Adriënne Mendrik, Jan Wolff:
CT image segmentation of bone for medical additive manufacturing using a convolutional neural network. Comput. Biol. Medicine 103: 130-139 (2018) - 2017
- [j1]Maureen van Eijnatten, Juha Koivisto, Kalle Karhu, Tymour Forouzanfar, Jan Wolff:
The impact of manual threshold selection in medical additive manufacturing. Int. J. Comput. Assist. Radiol. Surg. 12(4): 607-615 (2017)
Coauthor Index
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