Realistic training data improve noninvasive reconstruction of heart-surface potentials. - Matthijs J. M. Cluitmans; Ralf L. M. Peeters; Paul G. A. Volders; Ronald L. Westra (EMBC, 2012)

Inverse Reconstruction of Epicardial Potentials Improves by Vectorcardiography and Realistic Potentials. - Matthijs J. M. Cluitmans; Pietro Bonizzi; Joël M. H. Karel; Paul G. A. Volders; Ralf L. M. Peeters; Ronald L. Westra (CinC, 2013)

Wavelet-sparsity based regularization over time in the inverse problem of electrocardiography. - Matthijs J. M. Cluitmans; Joël M. H. Karel; Pietro Bonizzi; Paul G. A. Volders; Ronald L. Westra; Ralf L. M. Peeters (EMBC, 2013)

Physiology-based Regularization Improves Noninvasive Reconstruction and Localization of Cardiac Electrical Activity. - Matthijs J. M. Cluitmans; Monique M. J. de Jong; Paul G. A. Volders; Ralf L. M. Peeters; Ronald L. Westra (CinC, 2014)

In-vivo Evaluation of Reduced-Lead-Systems in Noninvasive Reconstruction and Localization of Cardiac Electrical Activity. - Matthijs J. M. Cluitmans; Joël M. H. Karel; Pietro Bonizzi; Monique M. J. de Jong; Paul G. A. Volders; Ralf Peeters; Ronald L. Westra (CinC, 2015)

Spatiotemporal Activation Time Estimation Improves Noninvasive Localization of Cardiac Electrical Activity. - Matthijs J. M. Cluitmans; Jaume Coll-Font; Burak Erem; Dana H. Brooks; Pietro Bonizzi; Joël M. H. Karel; Paul G. A. Volders; Ralf Peeters; Ronald L. Westra (CinC, 2016)

Influence of Body-Surface Geometry Accuracy on Noninvasive Reconstruction of Electrical Activation and Recovery in Electrocardiographic Imaging. - Matthijs J. M. Cluitmans; Paul G. A. Volders (CinC, 2017)

Integration of Electrical, Structural, and Anatomical Imaging for the Guidance of Cardiac Resynchronization Therapy. - Uyen Chau Nguyen; Matthijs J. M. Cluitmans; Casper Mihl; Justin J. G. Luermans; Bas L. J. H. Kietselaer; Sebastiaan C. A. M. Bekkers; Suzanne Gommers; Paul G. A. Volders; Frits W. Prinzen; Kevin Vernooy (CinC, 2017)

Physiology-based regularization of the electrocardiographic inverse problem. - Matthijs J. M. Cluitmans; Michael Clerx; Nele Vandersickel; Ralf L. M. Peeters; Paul G. A. Volders; Ronald L. Westra (Medical Biol. Eng. Comput., 2017)

Personalized Computational Framework to Study Arrhythmia Mechanisms on Top of ECG Image-Detected Substrate. - Matthijs J. M. Cluitmans; Èric Lluch; Hernán G. Morales; Jordi Heijman; Paul G. A. Volders (CinC, 2018)

Wavelet-promoted sparsity for non-invasive reconstruction of electrical activity of the heart. - Matthijs J. M. Cluitmans; Joël M. H. Karel; Pietro Bonizzi; Paul G. A. Volders; Ronald L. Westra; Ralf Peeters (Medical Biol. Eng. Comput., 2018)

Personalized Ventricular Arrhythmia Simulation Framework to Study Vulnerable Trigger Locations on Top of Scar Substrate. - Kevin D. Lau; Alexandra Groth; Irina Wächter-Stehle; Uyen Chau Nguyen; Paul G. A. Volders; Jordi Heijman; Jürgen Weese; Matthijs J. M. Cluitmans (CinC, 2019)

Comparison of Activation Times Estimation for Potential-Based ECG Imaging. - Matthias Schaufelberger; Steffen Schuler; Laura Bear; Matthijs J. M. Cluitmans; Jaume Coll-Font; Önder Nazim Onak; Olaf Dössel; Dana H. Brooks (CinC, 2019)

The Influence of Using a Static Diastolic Geometry in ECG Imaging. - Job Stoks; Matthijs J. M. Cluitmans; Ralf Peeters; Paul G. A. Volders (CinC, 2019)

CT-Scan Free Neural Network-Based Reconstruction of Heart Surface Potentials From ECG Recordings. - Kamil Bujnarowski; Pietro Bonizzi; Matthijs J. M. Cluitmans; Ralf Peeters; Joël M. H. Karel (CinC, 2020)

Relation of Surface T-wave to Vulnerability to Ventricular Fibrillation in Explanted Structurally Normal Hearts. - Marianna Meo; Pietro Bonizzi; Laura R. Bear; Matthijs J. M. Cluitmans; Emma Abell; Michel Haïssaguerre; Olivier Bernus; Rémi Dubois (CinC, 2020)

An Open-Source Algorithm for Standardized Bullseye Visualization of High-Resolution Cardiac Ventricular Data: UNISYS. - Job Stoks; Uyen Chau Nguyen; Ralf Peeters; Paul G. A. Volders; Matthijs J. M. Cluitmans (CinC, 2020)

Variability of Electrocardiographic Imaging Within and Between Leadsets. - Job Stoks; Bianca D. van Rees; Sanne A. Groeneveld; Diantha J. M. Schipaanboord; Lennart Blom; Rutger J. Hassink; Matthijs J. M. Cluitmans; Ralf Peeters; Paul G. A. Volders (CinC, 2020)

Electrocardiographic Imaging of Sinus Rhythm in Pig Hearts Using Bayesian Maximum A Posteriori Estimation. - Yesim Serinagaoglu Dogrusoz; Rémi Dubois; Emma Abell; Matthijs J. M. Cluitmans; Laura R. Bear (CinC, 2021)

Dynamics of Ventricular Electrophysiology Are Unmasked Through Noninvasive Electrocardiographic Imaging. - Job Stoks; Bianca D. van Rees; Uyen Chau Nguyen; Ralf Peeters; Paul G. A. Volders; Matthijs J. M. Cluitmans (CinC, 2021)

Influence of image artifacts on image-based computer simulations of the cardiac electrophysiology. - Evianne Kruithof; Sina Amirrajab; Matthijs J. M. Cluitmans; K. D. Lau; Marcel Breeuwer (Comput. Biol. Medicine, 2021)

Reducing Line-of-Block Artifacts in Cardiac Activation Maps Estimated Using ECG Imaging: A Comparison of Source Models and Estimation Methods. - Steffen Schuler; Matthias Schaufelberger; Laura R. Bear; Jake A. Bergquist; Matthijs J. M. Cluitmans; Jaume Coll-Font; Önder Nazim Onak; Brian Zenger; Axel Loewe; Rob S. MacLeod; Dana H. Brooks; Olaf Dössel (IEEE Trans. Biomed. Eng., 2022)

Sensitivity of Repolarization Gradients to Infarct Borderzone Properties Assessed with the Ten Tusscher and Modified Mitchell-Schaeffer Model. - Justina Ghebryal; Evianne Kruithof; Matthijs J. M. Cluitmans; Peter H. M. Bovendeerd (FIMH, 2023)

Isogeometric-Mechanics-Driven Electrophysiology Simulations of Ventricular Tachycardia. - Robin Willems; Evianne Kruithof; Koen L. P. M. Janssens; Matthijs J. M. Cluitmans; Olaf van der Sluis; Peter H. M. Bovendeerd; Clemens V. Verhoosel (FIMH, 2023)

Deep learning based estimation of heart surface potentials. - Tiantian Wang; Joël M. H. Karel; Niels Osnabrugge; Kurt Driessens; Job Stoks; Matthijs J. M. Cluitmans; Paul G. A. Volders; Pietro Bonizzi; Ralf L. M. Peeters (Artif. Intell. Medicine, 2025)