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

2024

Machine 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.2410.11920A Statistical Shape Model of Infrarenal Aortic Necks in Patients With and Without Late Type Ia Endoleak After Endovascular Aneurysm Repair (2024)Journal of Endovascular Therapy, 31(5), 882-891. van Veldhuizen, W. A., Schuurmann, R. C. L., Zuidema, R., Geraedts, A. C. M., IJpma, F. F. A., Kropman, R. H. J., Antoniou, G. A., van Sambeek, M. R. H. M., Balm, R., Wolterink, J. M. & de Vries, J. P. P. M.https://doi.org/10.1177/15266028221149913The ACROBAT 2022 challenge: Automatic registration of breast cancer tissue (2024)Medical image analysis, 97. Article 103257. Weitz, P., Valkonen, M., Solorzano, L., Carr, C., Kartasalo, K., Boissin, C., Koivukoski, S., Kuusela, A., Rasic, D., Feng, Y., Pouplier, S. S., Sharma, A., Eriksson, K. L., Robertson, S., Marzahl, C., Gatenbee, C. D., Anderson, A. R. A., Wodzinski, M., Jurgas, A., … Rantalainen, M.https://doi.org/10.1016/j.media.2024.103257World of Forms: Deformable Geometric Templates for One-Shot Surface Meshing in Coronary CT Angiography (2024)[Working paper › Preprint]. ArXiv.org. van Herten, R. L. M., Lagogiannis, I., Wolterink, J. M., Bruns, S., Meulendijks, E. R., Dey, D., de Groot, J. R., Henriques, J. P., Planken, R. N., Saitta, S. & Išgum, I.https://doi.org/10.48550/arXiv.2409.11837NeRF-OR: neural radiance fields for operating room scene reconstruction from sparse-view RGB-D videos (2024)International journal of computer assisted radiology and surgery (E-pub ahead of print/First online). Gerats, B. G. A., Wolterink, J. M. & Broeders, I. A. M. J.https://doi.org/10.1007/s11548-024-03261-5Automatic virtual reconstruction of acetabular fractures using a statistical shape model (2024)European Journal of Trauma and Emergency Surgery (E-pub ahead of print/First online). 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/s00068-024-02615-7Quantifying White Matter Hyperintensity and Brain Volumes in Heterogeneous Clinical and Low-Field Portable MRI (2024)In 2024 IEEE International Symposium on Biomedical Imaging (ISBI): 27-30 May, 2024 - Athens, Greece, Megaron Athens International Conference Centre (pp. 1-5). Article 10635502. IEEE. Laso, P., Cerri, S., Sorby-Adams, A., Guo, J., Mateen, F., Goebl, P., Wu, J., Liu, P., Li, H. B., Young, S. I., Billot, B., Puonti, O., Sze, G., Payabavash, S., DeHavenon, A., Sheth, K. N., Rosen, M. S., Kirsch, J., Strisciuglio, N., … Iglesias, J. E.https://doi.org/10.1109/ISBI56570.2024.10635502Physics-informed graph neural networks for flow field estimation in carotid arteries (2024)[Working paper › Preprint]. ArXiv.org. Suk, J., Alblas, D., Hutten, B. A., Wiegman, A., Brune, C., van Ooij, P. & Wolterink, J. M.https://doi.org/10.48550/arXiv.2408.07110Neural Fields for Continuous Periodic Motion Estimation in 4D Cardiovascular Imaging (2024)[Working paper › Preprint]. ArXiv.org. Garzia, S., Rygiel, P., Dummer, S., Cademartiri, F., Celi, S. & Wolterink, J. M.https://doi.org/10.48550/arXiv.2407.20728

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University of Twente

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

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