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:


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


Alblas, D. , Brune, C., Yeung, K. K. , & Wolterink, J. M. (Accepted/In press). Going Off-Grid: Implicit Neural Representations for 3D Vascular Modeling. Paper presented at 13th Workshop of Statistical Atlases and Computational Modeling of the Heart, STACOM 2022, Singapore, Singapore.
Wiesner, D. , Suk, J. , Dummer, S., Svoboda, D. , & Wolterink, J. M. (2022). Implicit Neural Representations for Generative Modeling of Living Cell Shapes. In L. Wang, Q. Dou, P. T. Fletcher, S. Speidel, & S. Li (Eds.), Medical Image Computing and Computer Assisted Intervention – MICCAI 2022: 25th International Conference, Singapore, September 18–22, 2022, Proceedings, Part IV (pp. 58-67). (Lecture Notes in Computer Science; Vol. 13434). Springer. https://doi.org/10.1007/978-3-031-16440-8_6
Alblas, D. , Brune, C. , & Wolterink, J. M. (2022). Deep Learning-Based Carotid Artery Vessel Wall Segmentation in Black-Blood MRI Using Anatomical Priors. In O. Colliot, I. Isgum, B. A. Landman, & M. H. Loew (Eds.), Medical Imaging 2022: Image Processing (Vol. 12032). [120320Y] (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 12032). SPIE Press. https://doi.org/10.1117/12.2611112
van Veldhuizen, W. A. , Schuurmann, R. C. L., Ijpma, F. F. A., Kropman, R. H. J., Antoniou, G. A. , Wolterink, J. M., & de Vries, J. P. P. M. (2022). A Statistical Shape Model of the Morphological Variation of the Infrarenal Abdominal Aortic Aneurysm Neck. Journal of Clinical Medicine, 11(6), [1687]. https://doi.org/10.3390/jcm11061687
van Velzen, S. G. M., Bruns, S. , Wolterink, J. M., Leiner, T., Viergever, M. A., Verkooijen, H. M., & Išgum, I. (2022). AI-Based Quantification of Planned Radiation Therapy Dose to Cardiac Structures and Coronary Arteries in Patients With Breast Cancer. International journal of radiation oncology biology physics, 112(3), 611-620. https://doi.org/10.1016/j.ijrobp.2021.09.009

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Visiting Address

University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling (building no. 11), room 3015
Hallenweg 19
7522NH  Enschede
The Netherlands

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Mailing Address

University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling  3015
P.O. Box 217
7500 AE Enschede
The Netherlands