Maureen van Eijnatten

According to our database, Maureen van Eijnatten authored at least 11 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• 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

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

The Importance of Realistic Training Deformations for Respiratory CT Registration.

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

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

An Image Feature Mapping Model for Continuous Longitudinal Data Completion and Generation of Synthetic Patient Trajectories.

Clément Chadebec, Evi M. C. Huijben, Josien P. W. Pluim, Stéphanie Allassonnière, Maureen A. J. M. van Eijnatten

Proceedings of the Deep Generative Models - Second MICCAI Workshop, 2022

2021

Quantitative Comparison of Deep Learning-Based Image Reconstruction Methods for Low-Dose and Sparse-Angle CT Applications.

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

J. Imaging, 2021

Comparison of convolutional neural network training strategies for cone-beam CT image segmentation.

Jordi Minnema, Jan Wolff, Juha Koivisto, Felix Lucka, Kees Joost Batenburg, Tymour Forouzanfar, Maureen van Eijnatten

Comput. Methods Programs Biomed., 2021

3D deformable registration of longitudinal abdominopelvic CT images using unsupervised deep learning.

Maureen van Eijnatten, Leonardo Rundo, Kees Joost Batenburg, Felix Lucka, Emma Beddowes, Carlos Caldas, Ferdia A. Gallagher, Evis Sala, Carola-Bibiane Schönlieb, Ramona Woitek

Comput. Methods Programs Biomed., 2021

2020

Parallel-beam X-ray CT datasets of apples with internal defects and label balancing for machine learning.

Sophia Bethany Coban, Vladyslav Andriiashen, Poulami Somanya Ganguly, Maureen van Eijnatten, Kees Joost Batenburg

CoRR, 2020

2019

A Cone-Beam X-Ray CT Data Collection Designed for Machine Learning.

Henri Der Sarkissian, Felix Lucka, Maureen van Eijnatten, Giulia Colacicco, Sophia Bethany Coban, Kees Joost Batenburg

CoRR, 2019

2018

CT image segmentation of bone for medical additive manufacturing using a convolutional neural network.

Jordi Minnema, Maureen van Eijnatten, Wouter M. Kouw, Faruk Diblen, Adriënne Mendrik, Jan Wolff

Comput. Biol. Medicine, 2018

2017

The impact of manual threshold selection in medical additive manufacturing.

Maureen van Eijnatten, Juha Koivisto, Kalle Karhu, Tymour Forouzanfar, Jan Wolff

Int. J. Comput. Assist. Radiol. Surg., 2017