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

The 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.2024.103257NeRF-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/ISBI56570.2024.10635502Neural 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.2407.20728Machine Learning Based Prediction of Post-operative Infrarenal Endograft Apposition for Abdominal Aortic Aneurysms (2024)European journal of vascular and endovascular surgery (E-pub ahead of print/First online). 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.2024.07.003Automated multiclass segmentation, quantification, and visualization of the diseased aorta on hybrid PET/CT–SEQUOIA (2024)Medical physics, 51(6), 4297-4310. van Praagh, G. D., Nienhuis, P. H., Reijrink, M., Davidse, M. E. J., Duff, L. M., Spottiswoode, B. S., Mulder, D. J., Prakken, N. H. J., Scarsbrook, A. F., Morgan, A. W., Tsoumpas, C., Wolterink, J. M., Mouridsen, K. B., Borra, R. J. H., Sinha, B. & Slart, R. H. J. A.https://doi.org/10.1002/mp.16967Graph neural networks for automatic extraction and labeling of the coronary artery tree in CT angiography (2024)Journal of medical imaging, 11(3). Article 034001. Hampe, N., van Velzen, S. G. M., Wolterink, J. M., Collet, C., Henriques, J. P. S., Planken, N. & Išgum, I.https://doi.org/10.1117/1.JMI.11.3.034001Mesh neural networks for SE(3)-equivariant hemodynamics estimation on the artery wall (2024)Computers in biology and medicine, 173. Article 108328. Suk, J., de Haan, P., Lippe, P., Brune, C. & Wolterink, J. M.https://doi.org/10.1016/j.compbiomed.2024.108328Application of large language models in radiology: evaluating longitudinal diagnostic yield of imaging for abdominal pain. (2024)[Dataset Types › Dataset]. Zenodo. Dasselaar, S. G. W., von Brucken Fock, Y., Ramselaar, H., Geerdink, J., Wolterink, J. M. & Olthof, A. W.https://doi.org/10.5281/zenodo.11003068

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University of Twente

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

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