I obtained my PhD in 2017 at Utrecht University (UMC Utrecht) with a thesis entitledĀ 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.Ā Ā 

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 and Dentistry

    • Learning
    • Patient
    • Coronary Artery
    • Computed Tomography Angiography
    • Isotopes of Calcium
  • Biochemistry, Genetics and Molecular Biology

    • Calcium
  • Computer Science

    • Segmentation
    • Deep Learning



Quantifying white matter hyperintensity and brain volumes in heterogeneous clinical and low-field portable MRI. ArXiv.org. Laso, P., Cerri, S., Sorby-Adams, A., Guo, J., Mateen, F., Goebl, P., Wu, J., Liu, P., Li, H., Young, S. I., Billot, B., Puonti, O., Sze, G., Payabavash, S., DeHavenon, A., Sheth, K. N., Rosen, M. S., Kirsch, J., Strisciuglio, N., ā€¦ Iglesias, J. E.https://doi.org/10.48550/arXiv.2312.05119Deep Learningā€“Based Intraoperative Stent Graft Segmentation on Completion Digital Subtraction Angiography During Endovascular Aneurysm RepairJournal of Endovascular Therapy, 30(6), 822-827. Kappe, K. O., Smorenburg, S. P. M., Hoksbergen, A. W. J., Wolterink, J. M. & Yeung, K. K.https://doi.org/10.1177/15266028221105840Recent Developments in Speeding up Prostate MRIJournal of magnetic resonance imaging (E-pub ahead of print/First online). Mir, N., Fransen, S. J., Wolterink, J. M., Fütterer, J. J. & Simonis, F. F. J.https://doi.org/10.1002/jmri.29108SIRE: scale-invariant, rotation-equivariant estimation of artery orientations using graph neural networks. ArXiv.org. Alblas, D., Suk, J. M., Brune, C., Yeung, K. K. & Wolterink, J. M.Quantitative analysis of aortic Na[18F]F uptake in macrocalcifications and microcalcifications in PET/CT scansMedical physics (E-pub ahead of print/First online). van Praagh, G. D., Davidse, M. E. J., Wolterink, J. M. & Slart, R. H. J. A.https://doi.org/10.1002/mp.16787Uncertainty-based quality assurance of carotid artery segmentationIn Uncertainty for Safe Utilization of Machine Learning in Medical Imaging (UNSURE) (Accepted/In press). Thibeau-Sutre, E., Alblas, D., Buurman, S., Brune, C. & Wolterink, J. M.3D human pose estimation in multi-view operating room videos using differentiable camera projectionsComputer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 11(4), 1197-1205. Gerats, B. G. A., Wolterink, J. M. & Broeders, I. A. M. J.https://doi.org/10.1080/21681163.2022.2155580SE(3) Symmetry Lets Graph Neural Networks Learn Arterial Velocity Estimation fromĀ Small DatasetsIn Functional Imaging and Modeling of the Heart: 12th International Conference, FIMH 2023, Lyon, France, June 19ā€“22, 2023, Proceedings (pp. 445-454). Suk, J., Brune, C. & Wolterink, J. M.https://doi.org/10.1007/978-3-031-35302-4_46

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