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 and Dentistry

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

    • Calcium
  • Computer Science

    • Segmentation
    • Deep Learning

Organisations

Publications

2025

Deep learning-based pelvimetry in pelvic MRI volumes for pre-operative difficulty assessment of total mesorectal excision (2025)Surgical endoscopy (E-pub ahead of print/First online). Baltus, S. C., Geitenbeek, R. T. J., Frieben, M., Thibeau-Sutre, E., Wolterink, J. M., Tan, C. O., Vermeulen, M. C., Consten, E. C. J. & Broeders, I. A. M. J.https://doi.org/10.1007/s00464-024-11485-4Deep learning for segmentation of colorectal carcinomas on endoscopic ultrasound (2025)Techniques in coloproctology, 29(1). Article 20. Noort, F. v. d., Borg, F. t., Guitink, A., Faber, J. & Wolterink, J. M.https://doi.org/10.1007/s10151-024-03056-5Preface (2025)In 9th International Workshop on Simulation and Synthesis in Medical Imaging, SASHIMI 2024, held in conjunction with the 27th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2024 (pp. v) (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). Fernandez, V., Wolterink, J. M., Wiesner, D., Remedios, S., Zuo, L. & Casamitjana, A.Quantitative aortic Na[18F]F positron emission tomography computed tomography as a tool to associate vascular calcification with major adverse cardiovascular events (2025)European journal of nuclear medicine and molecular imaging, 52, 501-509. Lieverse, T. G. F., van Praagh, G. D., Mulder, D. J., Lambers Heerspink, H. J., Wolterink, J. M. & Slart, R. H. J. A.https://doi.org/10.1007/s00259-024-06901-9

2024

Deep-learning-based extraction of circle of Willis topology with anatomical priors (2024)Scientific reports, 14(1), 1-10. Article 31630. Alblas, D., Vos, I. N., Lipplaa, M. M., Brune, C., van der Schaaf, I. C., Velthuis, M. R. E., Velthuis, B. K., Kuijf, H. J., Ruigrok, Y. M. & Wolterink, J. M.https://doi.org/10.1038/s41598-024-80574-0Automatic virtual reconstruction of acetabular fractures using a statistical shape model (2024)European Journal of Trauma and Emergency Surgery, 50(6), 2925-2936. van Veldhuizen, W. A., van Noortwijk, R., Meesters, A. M. L., ten Duis, K., Schuurmann, R. C. L., de Vries, J. P. P. M., Wolterink, J. M. & IJpma, F. F. A.https://doi.org/10.1007/s00068-024-02615-7Neural fields for 3D tracking of anatomy and surgical instruments in monocular laparoscopic video clips (2024)Healthcare Technology Letters, 11(6), 411-417. Gerats, B. G. A., Wolterink, J. M., Mol, S. P. & Broeders, I. A. M. J.https://doi.org/10.1049/htl2.12113Super-resolution ultrasound imaging: Microbubbles, neural networks, and simulations (2024)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. Blanken, N.https://doi.org/10.3990/1.9789036564052Machine Learning Based Prediction of Post-operative Infrarenal Endograft Apposition for Abdominal Aortic Aneurysms (2024)European journal of vascular and endovascular surgery, 68(5), 568-576. Veldhuizen, W. A. v., Vries, J.-P. P. M. d., Tuinstra, A., Zuidema, R., IJpma, F. F. A., Wolterink, J. M., Schuurmann, R. C. L., Antoniou, G. A., Balm, R., Kropman, R. H. J. & Sambeek, M. R. H. M. v.https://doi.org/10.1016/j.ejvs.2024.07.003Deep vectorised operators for pulsatile hemodynamics estimation in coronary arteries from a steady-state prior (2024)[Working paper › Preprint]. ArXiv.org. Suk, J., Nannini, G., Rygiel, P., Brune, C., Pontone, G., Redaelli, A. & Wolterink, J. M.https://doi.org/10.48550/arXiv.2410.11920

Research profiles

Address

University of Twente

Zilverling (building no. 11), room 2063
Hallenweg 19
7522 NH Enschede
Netherlands

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