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
    • Clayton, R. H., Aboelkassem, Y., Cantwell, C. D., Corrado, C., Delhaas, T., Huberts, W., Lei, C. L., Ni, H. B., Panfilov, A. V., Roney, C., & dos Santos, R. W. (2020). An audit of uncertainty in multi-scale cardiac electrophysiology models. Philosophical Transactions of the Royal Society A: mathematical Physical and Engineering Sciences, 378(2173), [20190335]. https://doi.org/10.1098/rsta.2019.0335
    • van Osta, N., Lyon, A., Kirkels, F., Koopsen, T., van Loon, T., Cramer, M. J., Teske, A. J., Delhaas, T., Huberts, W., & Lumens, J. (2020). Parameter subset reduction for patient-specific modelling of arrhythmogenic cardiomyopathy-related mutation carriers in the CircAdapt model. Philosophical Transactions of the Royal Society A: mathematical Physical and Engineering Sciences, 378(2173), [20190347]. https://doi.org/10.1098/rsta.2019.0347
    • Quicken, S., de Bruin, Y., Mees, B., Tordoir, J., Delhaas, T., & Huberts, W. (2020). Computational study on the haemodynamic and mechanical performance of electrospun polyurethane dialysis grafts. Biomechanics and modeling in mechanobiology, 19(2), 713-722. https://doi.org/10.1007/s10237-019-01242-1
    • Stevens, R. R. F., Donders, W. P., Quicken, S., van de Vosse, F. N., Mess, W. H., Delhaas, T., & Huberts, W. (2020). The Role of One-Dimensional Model-Generated Inter-Subject Variations in Systemic Properties on Wall Shear Stress Indices of Intracranial Aneurysms. Ieee Transactions on Biomedical Engineering, 67(4), 1030-1039. https://doi.org/10.1109/TBME.2019.2928416
    • Quicken, S., Huberts, W., Tordoir, J., van Loon, M., Delhaas, T., & Mees, B. (2020). Computational Modelling Based Recommendation on Optimal Dialysis Needle Positioning and Dialysis Flow in Patients With Arteriovenous Grafts. European Journal of Vascular and Endovascular Surgery, 59(2), 288-294. https://doi.org/10.1016/j.ejvs.2019.08.013
    • Zonnebeld, N., Huberts, W., van Loon, M. M., Delhaas, T., & Tordoir, J. H. M. (2020). Natural Vascular Remodelling After Arteriovenous Fistula Creation in Dialysis Patients With and Without Previous Ipsilateral Vascular Access. European Journal of Vascular and Endovascular Surgery, 59(2), 277-287. https://doi.org/10.1016/j.ejvs.2019.10.010
    • Heinen, S., Gashi, K., van den Heuvel, D., de Vries, J-P., van de Vosse, F., Delhaas, T., & Huberts, W. (2020). A Metamodeling Approach for Instant Severity Assessment and Uncertainty Quantification of Iliac Artery Stenoses. Journal of Biomechanical Engineering-Transactions of the Asme, 142(1), [011010]. https://doi.org/10.1115/1.4044502
  • 2019
    • Hose, D. R., Lawford, P. V., Huberts, W., Hellevik, L. R., Omholt, S. W., & van de Vosse, F. N. (2019). Cardiovascular models for personalised medicine: Where now and where next?Medical Engineering & Physics, 72, 38-48. https://doi.org/10.1016/j.medengphy.2019.08.007
    • Heusinkveld, M. H. G., Delhaas, ET., Lumens, J., Huberts, W., Spronck, B., Hughes, A. D., & Reesink, K. D. (2019). Augmentation index is not a proxy for wave reflection magnitude: mechanistic analysis using a computational model. Journal of Applied Physiology, 127(2), 491-500. https://doi.org/10.1152/japplphysiol.00769.2018
    • Heinen, S. G. H., van den Heuvel, D. A. F., de Vries, J. P. P. M., van de Vosse, F. N., Delhaas, T., & Huberts, W. (2019). A geometry-based model for non-invasive estimation of pressure gradients over iliac artery stenoses. Journal of Biomechanics, 92, 67-75. https://doi.org/10.1016/j.jbiomech.2019.05.030
    • Heusinkveld, M. H. G., Huberts, W., Lumens, J., Arts, T., Delhaas, T., & Reesink, K. D. (2019). Large vessels as a tree of transmission lines incorporated in the CircAdapt whole-heart model: A computational tool to examine heart-vessel interaction. PLoS Computational Biology, 15(7), [1007173]. https://doi.org/10.1371/journal.pcbi.1007173
    • Heinen, S. G. H., Huberts, W., van den Heuvel, D. A. F., van de Vosse, F. N., de Vries, J-P. P. M., & Delhaas, T. (2019). A comparative study of geometry-based methods and intra-arterial pressure measurements to assess the hemodynamic significance of equivocal iliac artery stenoses. Vascular, 27(2), 119-127. https://doi.org/10.1177/1708538118805659
  • 2018
    • van den Boom, T., Stevens, R., Delhaas, T., van de Vosse, F., & Huberts, W. (2018). Zero-dimensional lumped approach to incorporate the dynamic part of the pressure at vessel junctions in a 1D wave propagation model. International Journal for Numerical Methods in Biomedical Engineering, 34(9), [e3116]. https://doi.org/10.1002/cnm.3116
    • Akyildiz, A. C., Speelman, L., van Velzen, B., Stevens, R. R. F., van der Steen, A. F. W., Huberts, W., & Gijsen, F. J. H. (2018). Intima heterogeneity in stress assessment of atherosclerotic plaques. Interface Focus, 8(1), [20170008]. https://doi.org/10.1098/rsfs.2017.0008
    • Heinen, S. G., de Boer, S. W., van den Heuvel, D. A., Huberts, W., Dekker, P., van de Vosse, F. N., Delhaas, T., & de Vries, J-P. (2018). Hemodynamic significance assessment of equivocal iliac artery stenoses by comparing duplex ultrasonography with intra-arterial pressure measurements. Journal of Cardiovascular Surgery, 59(1), 37-44. https://doi.org/10.23736/S0021-9509.17.10186-2
    • Heusinkveld, M. H. G., Quicken, S., Holtackers, R. J., Huberts, W., Reesink, K. D., Delhaas, T., & Spronck, B. (2018). Uncertainty quantification and sensitivity analysis of an arterial wall mechanics model for evaluation of vascular drug therapies. Biomechanics and modeling in mechanobiology, 17(1), 55-69. https://doi.org/10.1007/s10237-017-0944-0
    • Keijsers, J. M. T., Leguy, C. A. D., Narracott, A. J., Rittweger, J., van de Vosse, F. N., & Huberts, W. (2018). Modeling regulation of vascular tone following muscle contraction: Model development, validation and global sensitivity analysis. Journal of Computational Science, 24, 143-159. https://doi.org/10.1016/j.jocs.2017.04.007
    • Huberts, W., Heinen, S. G. H., Zonnebeld, N., van den Heuvel, D. A. F., de Vries, J-P. P. M., Tordoir, J. H. M., Hose, D. R., Delhaas, T., & van de Vosse, F. N. (2018). What is needed to make cardiovascular models suitable for clinical decision support? A viewpoint paper. Journal of Computational Science, 24, 68-84. https://doi.org/10.1016/j.jocs.2017.07.006
  • 2017
    • Heinen, S. G. H., van den Heuvel, D. A. F., Huberts, W., de Boer, S. W., van de Vosse, F. N., Delhaas, T., & de Vries, J-P. P. M. (2017). In Vivo Validation of Patient-Specific Pressure Gradient Calculations for Iliac Artery Stenosis Severity Assessment. Journal of the American Heart Association, 6(12), [007328]. https://doi.org/10.1161/JAHA.117.007328
    • Zonnebeld, N., Maas, T. M. G., Huberts, W., van Loon, M. M., Delhaas, T., & Tordoir, J. H. M. (2017). Pre-operative Duplex Ultrasonography in Arteriovenous Fistula Creation: Intra- and Inter-observer Agreement. European Journal of Vascular and Endovascular Surgery, 54(5), 613-619. https://doi.org/10.1016/j.ejvs.2017.08.005
    • Zonnebeld, N., Huberts, W., van Loon, M. M., Delhaas, T., & Tordoir, J. H. M. (2017). Preoperative computer simulation for planning of vascular access surgery in hemodialysis patients. Journal of vascular access, 18(1), S118-S124. https://doi.org/10.5301/jva.5000661
  • 2016
    • Quicken, S., Donders, W. P., van Disseldorp, E. M. J., Gashi, K., Mees, B. M. E., van de Vosse, F. N., Lopata, R. G. P., Delhaas, T., & Huberts, W. (2016). Application of an Adaptive Polynomial Chaos Expansion on Computationally Expensive Three-Dimensional Cardiovascular Models for Uncertainty Quantification and Sensitivity Analysis. Journal of Biomechanical Engineering-Transactions of the Asme, 138(12). https://doi.org/10.1115/1.4034709
    • Keijsers, J. M. T., Leguy, C. A. D., Huberts, W., Narracott, A. J., Rittweger, J., & van de Vosse, F. N. (2016). Global sensitivity analysis of a model for venous valve dynamics. Journal of Biomechanics, 49(13), 2845-2853. https://doi.org/10.1016/j.jbiomech.2016.06.029
    • Eck, V. G., Donders, W. P., Sturdy, J., Feinberg, J., Delhaas, T., Hellevik, L. R., & Huberts, W. (2016). A guide to uncertainty quantification and sensitivity analysis for cardiovascular applications. International Journal for Numerical Methods in Biomedical Engineering, 32(8), [e02755]. https://doi.org/10.1002/cnm.2755
  • 2015
    • Boileau, E., Nithiarasu, P., Blanco, P. J., Mueller, L. O., Fossan, F. E., Hellevik, L. R., Donders, W. P., Huberts, W., Willemet, M., & Alastruey, J. (2015). A benchmark study of numerical schemes for one-dimensional arterial blood flow modelling. International Journal for Numerical Methods in Biomedical Engineering, 31(10), [e02732]. https://doi.org/10.1002/cnm.2732
    • Donders, W. P., Huberts, W., van de Vosse, F. N., & Delhaas, T. (2015). Personalization of models with many model parameters: an efficient sensitivity analysis approach. International Journal for Numerical Methods in Biomedical Engineering, 31(10), [e02727]. https://doi.org/10.1002/cnm.2727
    • Keijsers, J. M. T., Leguy, C. A. D., Huberts, W., Narracott, A. J., Rittweger, J., & van de Vosse, F. N. (2015). A 1D pulse wave propagation model of the hemodynamics of calf muscle pump function. International Journal for Numerical Methods in Biomedical Engineering, 31(7), [e02714]. https://doi.org/10.1002/cnm.2714
    • Huberts, W., Donders, W. P., Delhaas, T., & van de Vosse, F. N. (2015). Applicability of the polynomial chaos expansion method for personalization of a cardiovascular pulse wave propagation model. International Journal for Numerical Methods in Biomedical Engineering, 31(7), e02720. https://doi.org/10.1002/cnm.2720
  • 2014
    • Huberts, W., Donders, W. P., Delhaas, T., & van de Vosse, F. N. (2014). Applicability of the polynomial chaos expansion method for personalization of a cardiovascular pulse wave propagation model. International Journal for Numerical Methods in Biomedical Engineering, 30(12), 1679-1704. https://doi.org/10.1002/cnm.2695
    • Manini, S., Passera, K., Huberts, W., Botti, L., Antiga, L., & Remuzzi, A. (2014). Computational model for simulation of vascular adaptation following vascular access surgery in haemodialysis patients. Computer Methods in Biomechanics and Biomedical Engineering, 17(12), 1358-1367. https://doi.org/10.1080/10255842.2012.745857
  • 2013
    • Merkx, M. A. G., Bode, A. S., Huberts, W., Bescos, J. O., Tordoir, J. H. M., Breeuwer, M., van de Vosse, F. N., & Bosboom, E. M. H. (2013). Assisting vascular access surgery planning for hemodialysis by using MR, image segmentation techniques, and computer simulations. Medical & Biological Engineering & Computing, 51(8), 879-889. https://doi.org/10.1007/s11517-013-1060-7
    • Huberts, W., de Jonge, C., van der Linden, W. P. M., Inda, M. A., Tordoir, J. H. M., van de Vosse, F. N., & Bosboom, E. M. H. (2013). A sensitivity analysis of a personalized pulse wave propagation model for arteriovenous fistula surgery. Part A: Identification of most influential model parameters. Medical Engineering & Physics, 35(6), 810-826. https://doi.org/10.1016/j.medengphy.2012.08.013
    • Huberts, W., de Jonge, C., van der Linden, W. P. M., Inda, M. A., Passera, K., Tordoir, J. H. M., van de Vosse, F. N., & Bosboom, E. M. H. (2013). A sensitivity analysis of a personalized pulse wave propagation model for arteriovenous fistula surgery. Part B: Identification of possible generic model parameters. Medical Engineering & Physics, 35(6), 827-837. https://doi.org/10.1016/j.medengphy.2012.08.012
    • Merkx, M. A. G., Huberts, W., Bosboom, E. M. H., Bode, A. S., Bescos, J. O., Tordoir, J. H. M., Breeuwer, M., & van de Vosse, F. N. (2013). The Benefit of Non Contrast-Enhanced Magnetic Resonance Angiography for Predicting Vascular Access Surgery Outcome: A Computer Model Perspective. PLOS ONE, 8(2), [e53615]. https://doi.org/10.1371/journal.pone.0053615
  • 2012
    • Kroon, W., Bosboom, M., Huberts, W., Tordoir, J., & van de Vosse, F. (2012). Computational model for estimating the short- and long-term cardiac response to arteriovenous fistula creation for hemodialysis. Medical & Biological Engineering & Computing, 50(12), 1289-1298. https://doi.org/10.1007/s11517-012-0966-9
    • Huberts, W., Van Canneyt, K., Segers, P., Eloot, S., Tordoir, J. H. M., Verdonck, P., van de Vosse, F. N., & Bosboom, E. M. H. (2012). Experimental validation of a pulse wave propagation model for predicting hemodynamics after vascular access surgery. Journal of Biomechanics, 45(9), 1684-1691. https://doi.org/10.1016/j.jbiomech.2012.03.028
    • Bode, A. S., Huberts, W., Bosboom, E. M. H., Kroon, W., van der Linden, W. P. M., Planken, R. N., van de Vosse, F. N., & Tordoir, J. H. M. (2012). Patient-Specific Computational Modeling of Upper Extremity Arteriovenous Fistula Creation: Its Feasibility to Support Clinical Decision-Making. PLOS ONE, 7(4), [e34491]. https://doi.org/10.1371/journal.pone.0034491
    • Huberts, W., Bode, A. S., Kroon, W., Planken, R. N., Tordoir, J. H. M., van de Vosse, F. N., & Bosboom, E. M. H. (2012). A pulse wave propagation model to support decision-making in vascular access planning in the clinic. Medical Engineering & Physics, 34(2), 233-248. https://doi.org/10.1016/j.medengphy.2011.07.015
    • Kroon, W., Huberts, W., Bosboom, M., & van de Vosse, F. (2012). A Numerical Method of Reduced Complexity for Simulating Vascular Hemodynamics Using Coupled 0D Lumped and 1D Wave Propagation Models. Computational and Mathematical Methods in Medicine, 2012, [156094]. https://doi.org/10.1155/2012/156094
  • 2011
    • Bode, A., Caroli, A., Huberts, W., Planken, R. N., Antiga, L., Bosboom, M., Remuzzi, A., & Tordoir, J. (2011). Clinical study protocol for the ARCH project Computational modeling for improvement of outcome after vascular access creation. Journal of vascular access, 12(4), 369-376. https://doi.org/10.5301/JVA.2011.8382