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 Applied Analysis 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


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
Bruns, S. , Wolterink, J. M., Boogert, T. P. W. V. D., Runge, J. H., Bouma, B. J., Henriques, J. P., Baan, J., Viergever, M. A., Planken, R. N., & Išgum, I. (2022). Deep learning-based whole-heart segmentation in 4D contrast-enhanced cardiac CT. Computers in biology and medicine, 142, [105191]. https://doi.org/10.1016/j.compbiomed.2021.105191
Suk, J. M., de Haan, P., Lippe, P. , Brune, C. , & Wolterink, J. M. (2022). Mesh convolutional neural networks for wall shear stress estimation in 3D artery models. In E. Puyol Antón, A. Young, A. Suinesiaputra, M. Pop, C. Martín-Isla, M. Sermesant, O. Camara, & K. Lekadir (Eds.), Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge: 12th International Workshop, STACOM 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Revised Selected Papers (pp. 93-102) https://doi.org/10.1007/978-3-030-93722-5_11
Wolterink, J. M., Mukhopadhyay, A., Leiner, T., Vogl, T. J., Bucher, A. M., & Išgum, I. (2021). Generative Adversarial Networks: A Primer for Radiologists. Radiographics, 41(3), 840-857. https://doi.org/10.1148/rg.2021200151

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Courses Academic Year  2021/2022

Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.

Contact Details

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