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Functional Imaging and Modeling of the Heart : ... International Workshop, FIMH ..., Proceedings. FIMH|December 5, 2019
Correcting Undersampled Cardiac Sources in Equivalent Double Layer Forward SimulationsJess D Tate, Steffen Schuler, Olaf Dössel, et al.
Artificial Intelligence in Medicine|September 6, 2023
Non-invasive localization of the ventricular excitation origin without patient-specific geometries using deep learningNicolas Pilia, Steffen Schuler, Maike Rees, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 11, 2013
Comparison of simulated and clinical intracardiac electrogramsMatthias W Keller, Steffen Schuler, Armin Luik, et al.
IEEE Transactions on Bio-Medical Engineering|August 4, 2020
Non-Invasive Characterization of Atrial Flutter Mechanisms Using Recurrence Quantification Analysis on the ECG: A Computational StudyGiorgio Luongo, Steffen Schuler, Armin Luik, et al.
IEEE Transactions on Bio-Medical Engineering|May 13, 2014
Characterization of radiofrequency ablation lesion development based on simulated and measured intracardiac electrogramsMatthias Walter Keller, Steffen Schuler, Mathias Wilhelms, et al.
Frontiers in Physiology|December 16, 2020
Comparison of Unipolar and Bipolar Voltage Mapping for Localization of Left Atrial Arrhythmogenic Substrate in Patients With Atrial FibrillationDeborah Nairn, Heiko Lehrmann, Björn Müller-Edenborn, et al.
Computing in Cardiology|March 20, 2020
Comparison of Activation Times Estimation for Potential-Based ECG ImagingMatthias Schaufelberger, Steffen Schuler, Laura Bear, et al.
IEEE Transactions on Bio-Medical Engineering|December 14, 2021
Reducing Line-of-Block Artifacts in Cardiac Activation Maps Estimated Using ECG Imaging: A Comparison of Source Models and Estimation MethodsSteffen Schuler, Matthias Schaufelberger, Laura R Bear, et al.
Cardiovascular Digital Health Journal|April 26, 2021
Machine learning enables noninvasive prediction of atrial fibrillation driver location and acute pulmonary vein ablation success using the 12-lead ECGGiorgio Luongo, Luca Azzolin, Steffen Schuler, et al.
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