Job Stoks

Post doc

As a clinical technologist, Dr Job Stoks was trained in Technical Medicine at the University of Twente, which focuses on the implementation and application of novel technologies in clinical medicine. After obtaining his Master’s degree, he applied his hybrid background to investigate the mechanisms of ventricular tachyarrhythmias. This resulted in his PhD thesis entitled 'Multimodal image integration to better explain human ventricular tachyarrhythmias'.

Job’s thesis was the result of a collaboration between different departments, universities, and nationalities, and resulted in a double doctorate degree from Maastricht University and Hasselt University. During his PhD trajectory, Job was supervised by Prof. Paul Volders (Cardiology, Maastricht University), Prof. Ralf Peeters (Advanced Computing Sciences, Maastricht University), Prof. Paul Dendale (Cardiology, Hasselt University), and Dr Matthijs Cluitmans (Cardiology, Maastricht University). After obtaining his PhD, Job continued as a postdoctoral researcher in Prof. Volders’ lab at the Department of Cardiology.

As a clinical technologist, Job aims to improve understanding of the mechanisms of ventricular tachyarrhythmias and to optimize personalized treatment through the integration of electrical and structural imaging modalities. He is particularly interested in the role of noninvasive imaging modalities such as electrocardiographic imaging (ECGI) and the role of repolarization in ventricular tachyarrhythmias. This includes investigating the role of noninvasive imaging in defining target areas for stereotactic arrhythmia radioablation (STAR). Job was recently awarded two Young Talent Fellowships, from the CVON PREDICT2 and the CVON VIGILANCE consortia.

Department of Cardiology
Universiteitssingel 50, 6229 ER Maastricht
Room number: F3.106
T: +31(0)43 388 75 05

  • 2024
    • Stoks, J., Langfield, P., & Cluitmans, M. J. M. (2024). Methodological and Mechanistic Considerations in Local Repolarization Mapping. JACC: Clinical Electrophysiology, 10(2), 376-377. https://doi.org/10.1016/j.jacep.2023.12.018
  • 2023
    • Kaya, Y. S., Stoks, J., Gommers, S., Holtackers, R. J., Duijsings, R., Vernooy, K., Volders, P., & Ter Bekke, R. (2023). Optimal pixel signal intensity threshold for the assessment of endocardial left-ventricular scar by 3D dark blood MRI compared to bipolar voltage electro-anatomical mapping. European Heart Journal, 44.
    • Stoks, J., Bear, L. R., Vijgen, J., Dendale, P., Peeters, R., Volders, P. G. A., & Cluitmans, M. J. M. (2023). Understanding repolarization in the intracardiac unipolar electrogram: A long-lasting controversy revisited. Frontiers in physiology, 14, Article 1158003. https://doi.org/10.3389/fphys.2023.1158003
    • Stoks, J., Hermans, B. M., Boukens, B. J. D., Holtackers, R. J., Gommers, S., Kaya, Y. S., Vernooy, K., Cluitmans, M. J. M., Volders, P. G. A., & ter Bekke, R. M. A. (2023). High-resolution structural-functional substrate-trigger characterization: Future roadmap for catheter ablation of ventricular tachycardia. Frontiers in Cardiovascular Medicine, 10(1), Article 1112980. https://doi.org/10.3389/fcvm.2023.1112980
  • 2022
    • Patel, K., Bajaj, N., Statton, B., Herath, N., Li, X. Y., Davidson, R., Savvidou, S., Coghlin, J., Stoks, J., Purkayastha, S., Cousins, J., Ware, J., O'Regan, D., Lambiase, P., Cluitmans, M., Peters, N., & Ng, F. S. (2022). Bariatric Surgery Reverses Ventricular Repolarisation Heterogeneity - Mechanistic Insights Into Fat-Related Arrhythmic Risk. Heart, 108, A60-A61. https://doi.org/10.1136/heartjnl-2022-BCS.82
  • 2021
    • Cluitmans, M. J. M., Bear, L. R., Nguyên, U. C., van Rees, B., Stoks, J., Ter Bekke, R. M. A., Mihl, C., Heijman, J., Lau, K. D., Vigmond, E., Bayer, J., Belterman, C. N. W., Abell, E., Labrousse, L., Rogier, J., Bernus, O., Haïssaguerre, M., Hassink, R. J., Dubois, R., ... Volders, P. G. A. (2021). Noninvasive detection of spatiotemporal activation-repolarization interactions that prime idiopathic ventricular fibrillation. Science Translational Medicine, 13(620), Article eabi9317. https://doi.org/10.1126/scitranslmed.abi9317
    • Van Rees, B., Stoks, J., Nguyen, Y. C., Ter Bekke, R. M. A., Mihl, C., Cluitmans, M., & Volders, P. G. A. (2021). Local areas of earlier repolarization cause epicardial repolarization heterogeneity in patients with apparently idiopathic ventricular fibrillation. European Heart Journal, 42, 326-326. https://doi.org/10.1093/eurheartj/ehab724.0326
    • Rababah, A. S., Bear, L. R., Dogrusoz, Y. S., Good, W., Bergquist, J., Stoks, J., MacLeod, R., Rjoob, K., Jennings, M., Mclaughlin, J., & Finlay, D. D. (2021). The effect of interpolating low amplitude leads on the inverse reconstruction of cardiac electrical activity. Computers in Biology and Medicine, 136, Article 104666. https://doi.org/10.1016/j.compbiomed.2021.104666
  • 2020
    • Stoks, J., Chau Nguyen, U., Peeters, R., Volders, P., & Cluitmans, M. (2020). An Open-Source Algorithm for Standardized Bullseye Visualization of High-Resolution Cardiac Ventricular Data: UNISYS. Computing in Cardiology, 47, 1-4. Article 160. https://doi.org/10.22489/CinC.2020.160
    • Stoks, J., Van Rees, B., Groeneveld, S., Schipaanboord, D., Blom, L., Hassink, R., Cluitmans, M., Peeters, R., & Volders, P. (2020). Variability of Electrocardiographic Imaging Within and Between Leadsets. Computing in Cardiology, 47, 1-4. Article 097. https://doi.org/10.22489/CinC.2020.097
    • Stoks, J., Van Rees, B. D., Nguyen, U. C., Peeters, R. L. M., Dendale, P., Cluitmans, M. J. M., & Volders, P. G. A. (2020). Noninvasive assessment of dynamic cardiac electrophysiology in normal human subjects. European Heart Journal, 41(S2), 3596-3596. https://doi.org/10.1093/ehjci/ehaa946.3596
  • 2019
    • Cluitmans, M. J. M., Stoks, J., & Volders, P. G. A. (2019). To the Editor-Interpretation of electrograms is key to understand the clinical potential of ECGI. Heart Rhythm, 16(6), E51-E52. https://doi.org/10.1016/j.hrthm.2019.02.030
  • 2018
    • Hermans, B. J. M., Stoks, J., Bennis, F. C., Vink, A. S., Garde, A., Wilde, A. A. M., Pison, L., Postema, P. G., & Delhaas, T. (2018). Support vector machine-based assessment of the T-wave morphology improves long QT syndrome diagnosis. EP Europace, 20, 113-119. https://doi.org/10.1093/europace/euy243