Wouter Huberts

Assistant Professor

Dr Wouter Huberts graduated with a specialisation in medical engineering at the Eindhoven University of Technology (TU/e). Thereafter, he received his PhD degree at Maastricht University based on his thesis entitled 'Personalized modelling of vascular access creation'. Simultaneously, he successfully completed a two-year postdoctoral program (Qualified Medical Engineer at the School of Medical Physics and Engineering, TU/e).

Before that, Dr Wouter Huberts was appointed at the Department of Biomedical Engineering that is chaired by Prof. Tammo Delhaas and is embedded within CARIM, he served two years as a post-doc within the cardiovascular biomechanics group of the TU/e (CVBM chaired by Prof. van de Vosse). Currently, he is still appointed as (visiting) staff member in the CVBM group and he serves as coordinator of the TU/e master medical engineering at the Maastricht University.

Dr Wouter Huberts is amedical engineer who has a large affinity for teaching and has a major interest in the development of personalized physics-based modelling tools to support decision-making in clinics. His interests and expertise are in (computational) fluid mechanics, sensitivity analysis and uncertainty quantification. His current research line ‘Personalized cardiovascular modelling’ is focussed on the development of personalised physics- and physiology-based mathematical models of the cardiovascular system aiming for clinical decision-support.

The development and subsequent application of uncertainty quantification and sensitivity analysis tools are prerequisites when one aims to apply mathematical models for decision support.


Department of Biomedical Engineering
Universiteitssingel 50, 6229 ER Maastricht
PO Box 616, 6200 MD Maastricht
Room number: H3.354
T: +31(0)43 388 16 61

  • 2021
    • Hoeijmakers, M. J. M. M., Huberts, W., Rutten, M. C. M., & van de Vosse, F. N. (2021). The impact of shape uncertainty on aortic-valve pressure-drop computations. International Journal for Numerical Methods in Biomedical Engineering, 37(10), [e3518]. https://doi.org/10.1002/cnm.3518
    • van Osta, N., Kirkels, F. P., van Loon, T., Koopsen, T., Lyon, A., Meiburg, R., Huberts, W., Cramer, M. J., Delhaas, T., Haugaa, K. H., Teske, A. J., & Lumens, J. (2021). Uncertainty Quantification of Regional Cardiac Tissue Properties in Arrhythmogenic Cardiomyopathy Using Adaptive Multiple Importance Sampling. Frontiers in physiology, 12, [738926]. https://doi.org/10.3389/fphys.2021.738926
    • Stevens, R. R. F., Gommer, E. D., Aries, M. J. H., Ertl, M., Mess, W. H., Huberts, W., & Delhaas, T. (2021). Optic nerve sheath diameter assessment by neurosonology: A review of methodologic discrepancies. Journal of Neuroimaging, 31(5), 814-825. https://doi.org/10.1111/jon.12906
    • Parikh, S., Ganizada, B., Debeij, G., Natour, E., Maessen, J., Spronck, B., Schurgers, L., Delhaas, T., Huberts, W., Bidar, E., & Reesink, K. (2021). Intra-Operative Video-Based Measurement of Biaxial Strains of the Ascending Thoracic Aorta. Biomedicines, 9(6), [670]. https://doi.org/10.3390/biomedicines9060670
    • Van Haaften, E. E., Quicken, S., Huberts, W., Bouten, C. V. C., & Kurniawan, N. A. (2021). Computationally guided in-vitro vascular growth model reveals causal link between flow oscillations and disorganized neotissue. Communications Biology, 4(1), [546]. https://doi.org/10.1038/s42003-021-02065-6
    • Stevens, R. R. F., Huberts, W., Gommer, E. D., Ertl, M., Aries, M., Mess, W. H., & Delhaas, T. (2021). An Automated Algorithm for Optic Nerve Sheath Diameter Assessment from B-mode Ultrasound Images. Journal of Neuroimaging. https://doi.org/10.1111/jon.12851
    • Heusinkveld, M. H. G., Holtackers, R. J., Adriaans, B. P., Op't Roodt, J., Arts, T., Delhaas, T., Reesink, K. D., & Huberts, W. (2021). Complementing sparse vascular imaging data by physiological adaptation rules. Journal of Applied Physiology, 130(3), 571-588. https://doi.org/10.1152/japplphysiol.00250.2019
    • Quicken, S., Delhaas, T., Mees, B. M. E., & Huberts, W. (2021). Haemodynamic optimisation of a dialysis graft design using a global optimisation approach. International Journal for Numerical Methods in Biomedical Engineering, 37(2), [e3423]. https://doi.org/10.1002/cnm.3423
  • 2020
    • Meiburg, R., Huberts, W., Rutten, M. C. M., & van de Vosse, F. N. (2020). Uncertainty in model-based treatment decision support: Applied to aortic valve stenosis. International Journal for Numerical Methods in Biomedical Engineering, 36(10), [3388]. https://doi.org/10.1002/cnm.3388
    • Zonnebeld, N., Tordoir, J. H. M., van Loon, M. M., de Smet, A. A. E. A., Huisman, L. C., Cuypers, P. W. M., Schlosser, F. J., Lemson, S., Heinen, S. G. H., Bouwman, L. H., Toorop, R. J., Huberts, W., Delhaas, T., & Shunt Simulation Study Group (2020). Pre-operative Patient Specific Flow Predictions to Improve Haemodialysis Arteriovenous Fistula Maturation (Shunt Simulation Study): A Randomised Controlled Trial. European Journal of Vascular and Endovascular Surgery, 60(1), 98-106. https://doi.org/10.1016/j.ejvs.2020.03.005