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MLDS grant Sabine Daemen

MLDS grant Sabine Daemen

15 November 2024

Dr Sabine Daemen (Dept of Internal Medicine) received a Career Development Grant (160k) from the Dutch Digestive Foundation (MLDS).

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Our new Division Leaders

Our new Division Leaders

3 October 2024

As of 1 October 2024, Casper Schalkwijk and Joost Lumens have been appointed as Division Leaders Vessels and Heart. Judith Sluimer will success Hugo ten Cate as Division Leader Blood in March 2025.

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Carim Maastricht
Carim Maastricht

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.

 

Wouter-huberts

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

  • 2024
    • van Willigen, B. G., van der Hout-van der Jagt, M. B., Bovendeerd, P. H. M., Huberts, W., & van de Vosse, F. N. (2024). A Multiscale Mathematical Model for the Fetal Blood Circulation of the Second Half of Pregnancy. International Journal for Numerical Methods in Biomedical Engineering, Article 3877. https://doi.org/10.1002/cnm.3877
    • van Vliet, L. V., Zonnebeld, N., Tordoir, J. H., Huberts, W., Bouwman, L. H., Cuypers, P. W., Heinen, S. G., Huisman, L. C., Lemson, S., Mees, B. M. E., Schlosser, F. J., de Smet, A. A., Toorop, R. J., Delhaas, T., & Snoeijs, M. G. (2024). Guideline recommendations on minimal blood vessel diameters and arteriovenous fistula outcomes. Journal of vascular access, 25(5), 1584-1592. https://doi.org/10.1177/11297298231180627
    • Parikh, S., Giudici, A., Huberts, W., Delhaas, T., Bidar, E., Spronck, B., & Reesink, K. (2024). Significance of Dynamic Axial Stretching on Estimating Biomechanical Behavior and Properties of the Human Ascending Aorta. Annals of Biomedical Engineering, 52(9), 2485-2495. https://doi.org/10.1007/s10439-024-03537-6
    • Koopsen, T., van Osta, N., van Loon, T., Meiburg, R., Huberts, W., Beela, A. S., Kirkels, F. P., van Klarenbosch, B. R., Teske, A. J., Cramer, M. J., Bijvoet, G. P., van Stipdonk, A., Vernooy, K., Delhaas, T., & Lumens, J. (2024). Parameter subset reduction for imaging-based digital twin generation of patients with left ventricular mechanical discoordination. Biomedical Engineering Online, 23(1), Article 46. https://doi.org/10.1186/s12938-024-01232-0
    • Hilhorst, P. L. J., Quicken, S., van de Vosse, F. N., & Huberts, W. (2024). Efficient sensitivity analysis for biomechanical models with correlated inputs. International Journal for Numerical Methods in Biomedical Engineering, 40(2), Article e3797. https://doi.org/10.1002/cnm.3797
    • Verstraeten, S., Hoeijmakers, M., Tonino, P., Brüning, J., Capelli, C., van de Vosse, F., & Huberts, W. (2024). Generation of synthetic aortic valve stenosis geometries for in silico trials. International Journal for Numerical Methods in Biomedical Engineering, 40(1), Article e3778. https://doi.org/10.1002/cnm.3778
  • 2023
    • Parikh, S., Moerman, K. M., Ramaekers, M. J. F. G., Schalla, S., Bidar, E., Delhaas, T., Reesink, K., & Huberts, W. (2023). Biomechanical Characterisation of Thoracic Ascending Aorta with Preserved Pre-Stresses. Bioengineering, 10(7), Article 846. https://doi.org/10.3390/bioengineering10070846
    • van Vliet, L. V., Zonnebeld, N., Tordoir, J. H., Huberts, W., Delhaas, T., & Snoeijs, M. G. (2023). Arteriovenous Fistulas Created with the Help of Personalised Blood Flow Simulations: Clinical Outcomes of a Randomised Controlled Trial. European Journal of Vascular and Endovascular Surgery, 65(6), 907-908. https://doi.org/10.1016/j.ejvs.2023.02.072
  • 2022
    • Shahmohammadi, M., Huberts, W., Luo, H. X., Westphal, P., Cornelussen, R. N., Prinzen, F. W., & Delhaas, T. (2022). Hemodynamics-driven mathematical model of third heart sound generation. Frontiers in physiology, 13, Article 847164. https://doi.org/10.3389/fphys.2022.847164
    • van Willigen, B. G., van der Hout-van der Jagt, M. B., Huberts, W., & van de Vosse, F. N. (2022). A review study of fetal circulatory models to develop a digital twin of a fetus in a perinatal life support system. Frontiers in pediatrics, 10, Article 915846. https://doi.org/10.3389/fped.2022.915846
    • de Lepper, A. G. W., Buck, C. M. A., van 't Veer, M., Huberts, W., van de Vosse, F. N., & Dekker, L. R. C. (2022). From evidence-based medicine to digital twin technology for predicting ventricular tachycardia in ischaemic cardiomyopathy. Journal of the Royal Society, Interface, 19(194), Article 20220317. https://doi.org/10.1098/rsif.2022.0317
    • Quicken, S., Mees, B., Zonnebeld, N., Tordoir, J., Huberts, W., & Delhaas, T. (2022). A realistic arteriovenous dialysis graft model for hemodynamic simulations. PLOS ONE, 17(7), Article e0269825. https://doi.org/10.1371/journal.pone.0269825
    • van der Laan, K. W. F., Reesink, K. D., van der Bruggen, M. M., Jaminon, A. M. G., Schurgers, L. J., Megens, R. T. A., Huberts, W., Delhaas, T., & Spronck, B. (2022). Improved Quantification of Cell Density in the Arterial Wall-A Novel Nucleus Splitting Approach Applied to 3D Two-Photon Laser-Scanning Microscopy. Frontiers in physiology, 12, Article 814434. https://doi.org/10.3389/fphys.2021.814434
  • 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), Article 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, Article 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), Article 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), Article 546. https://doi.org/10.1038/s42003-021-02065-6
    • 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), Article e3423. https://doi.org/10.1002/cnm.3423
    • 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, 31(4), 724–732. https://doi.org/10.1111/jon.12851
  • 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), Article 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), Article 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), Article 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), Article 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), Article 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), Article 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), Article 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), Article 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), Article 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), Article 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), Article e02727. https://doi.org/10.1002/cnm.2727
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