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dr. J.M. Wolterink (Jelmer)

Assistant Professor

About Me

I obtained my PhD in 2017 at Utrecht University (UMC Utrecht) with a thesis entitled Machine learning based analysis of cardiovascular images. After postdocs in the quantitative image analysis group at UMC Utrecht and Amsterdam UMC, I started as an assistant professor in the Mathematics of Imaging & AI (MIA) group in Twente in March 2020. My research interests are in machine learning for medical image analysis, in particular generative models and geometric deep learning approaches.  

I have received a VENI from NWO TTW (2020) to work on Machine learning-based prediction of abdominal aortic aneurysm growth and rupture.

You can read an interview about me and my work on our 'Featured Scientists' website:

Expertise

Medicine & Life Sciences
Calcium
Computed Tomography Angiography
Coronary Vessels
Deep Learning
Engineering & Materials Science
Angiography
Calcium
Convolutional Neural Networks
Deep Learning

Publications

Recent
Alblas, D., Hofman, M. , Brune, C., Yeung, K. K. , & Wolterink, J. M. (2023). Implicit Neural Representations for Modeling of Abdominal Aortic Aneurysm Progression. In O. Bernard, P. Clarysse, N. Duchateau, J. Ohayon, & M. Viallon (Eds.), Functional Imaging and Modeling of the Heart - 12th International Conference, FIMH 2023, Proceedings (pp. 356-365). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13958 LNCS). Springer. https://doi.org/10.1007/978-3-031-35302-4_37
Suk, J. , Brune, C. , & Wolterink, J. M. (2023). SE(3) Symmetry Lets Graph Neural Networks Learn Arterial Velocity Estimation from Small Datasets. In O. Bernard, P. Clarysse, N. Duchateau, J. Ohayon, & M. Viallon (Eds.), Functional Imaging and Modeling of the Heart: 12th International Conference, FIMH 2023, Lyon, France, June 19–22, 2023, Proceedings (pp. 445-454) https://doi.org/10.1007/978-3-031-35302-4_46
Gerats, B. G. A. , Wolterink, J. M. , & Broeders, I. A. M. J. (2023). Dynamic Depth-Supervised NeRF for Multi-view RGB-D Operating Room Videos. In I. Rekik, E. Adeli, S. H. Park, C. Cintas, & G. Zamzmi (Eds.), Predictive Intelligence in Medicine : 6th International Workshop, PRIME 2023, Held in Conjunction with MICCAI 2023, Proceedings (pp. 218-230). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 14277). Springer. https://doi.org/10.1007/978-3-031-46005-0_19
Chen, Y., Staring, M. , Wolterink, J. M., & Tao, Q. (2023). Local Implicit Neural Representations for Multi-Sequence MRI Translation. In 2023 IEEE International Symposium on Biomedical Imaging, ISBI 2023 (Proceedings - International Symposium on Biomedical Imaging; Vol. 2023-April). IEEE. https://doi.org/10.1109/ISBI53787.2023.10230409
Mir, N., Fransen, S. J. , Wolterink, J. M. , Fütterer, J. J. , & Simonis, F. F. J. (2023). Recent Developments in Speeding up Prostate MRI. Journal of magnetic resonance imaging. Advance online publication. https://doi.org/10.1002/jmri.29108
Thibeau-Sutre, E. , Alblas, D., Buurman, S. , Brune, C. , & Wolterink, J. M. (Accepted/In press). Uncertainty-based quality assurance of carotid artery segmentation. In Uncertainty for Safe Utilization of Machine Learning in Medical Imaging (UNSURE)
van Veldhuizen, W. A., van der Wel, H., Kuipers, H. Y., Kraeima, J., ten Duis, K. , Wolterink, J. M., de Vries, J. P. P. M. , Schuurmann, R. C. L., & IJpma, F. F. A. (2023). Development of a Statistical Shape Model and Assessment of Anatomical Shape Variations in the Hemipelvis. Journal of Clinical Medicine, 12(11), Article 3767. https://doi.org/10.3390/jcm12113767

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Contact Details

Visiting Address

University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling (building no. 11), room 2063
Hallenweg 19
7522NH  Enschede
The Netherlands

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Mailing Address

University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling  2063
P.O. Box 217
7500 AE Enschede
The Netherlands