Jess D. Tate
Orcid: 0000-0002-2934-1453
According to our database1,
Jess D. Tate
authored at least 37 papers
between 2011 and 2023.
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Bibliography
2023
UncertainSCI: A Python Package for Noninvasive Parametric Uncertainty Quantification of Simulation Pipelines.
J. Open Source Softw., October, 2023
UncertainSCI: Uncertainty quantification for computational models in biomedicine and bioengineering.
Comput. Biol. Medicine, 2023
2022
Proceedings of the Computing in Cardiology, 2022
Proceedings of the Computing in Cardiology, 2022
Proceedings of the Computing in Cardiology, 2022
Effect of Segmentation Uncertainty on the ECGI Inverse Problem Solution and Source Localization.
Proceedings of the Computing in Cardiology, 2022
Proceedings of the Computing in Cardiology, 2022
2021
Estimation and Validation of Cardiac Conduction Velocity and Wavefront Reconstruction Using Epicardial and Volumetric Data.
IEEE Trans. Biomed. Eng., 2021
Comput. Biol. Medicine, 2021
Proceedings of the Functional Imaging and Modeling of the Heart, 2021
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021
The Role of Myocardial Fiber Direction in Epicardial Activation Patterns via Uncertainty Quantification.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021
2020
Proceedings of the Computing in Cardiology, 2020
Proceedings of the Computing in Cardiology, 2020
2019
Correcting Undersampled Cardiac Sources in Equivalent Double Layer Forward Simulations.
Proceedings of the Functional Imaging and Modeling of the Heart, 2019
Spatial Downsampling of Surface Sources in the Forward Problem of Electrocardiography.
Proceedings of the Functional Imaging and Modeling of the Heart, 2019
Proceedings of the Functional Imaging and Modeling of the Heart, 2019
Experimental Validation of Image-Based Modeling of Torso Surface Potentials During Acute Myocardial Ischemia.
Proceedings of the 46th Computing in Cardiology, 2019
Proceedings of the 46th Computing in Cardiology, 2019
Validation of Intramural Wavefront Reconstruction and Estimation of 3D Conduction Velocity.
Proceedings of the 46th Computing in Cardiology, 2019
Optimizing the Reconstruction of Cardiac Potentials Using a Novel High Resolution Pericardiac Cage.
Proceedings of the 46th Computing in Cardiology, 2019
2018
PFEIFER: Preprocessing Framework for Electrograms Intermittently Fiducialized from Experimental Recordings.
J. Open Source Softw., 2018
Measuring defibrillator surface potentials: The validation of a predictive defibrillation computer model.
Comput. Biol. Medicine, 2018
Electrocardiographic Comparison of Dobutamine and Bruce Cardiac Stress Testing With High Resolution Mapping in Experimental Models.
Proceedings of the Computing in Cardiology, 2018
Proceedings of the Computing in Cardiology, 2018
2017
Proceedings of the Computing in Cardiology, 2017
Overcoming Barriers to Quantification and Comparison of Electrocardiographic Imaging Methods: a Community-Based Approach.
Proceedings of the Computing in Cardiology, 2017
2016
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016
The Role of Reduced Left Ventricular, Systolic Blood Volumes in ST Segment Potentials Overlying Diseased Tissue of the Ischemic Heart.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016
2015
Proceedings of the Computing in Cardiology, 2015
2014
Verification of a Defibrillation Simulation Using Internal Electric Fields in a Human Shaped Phantom.
Proceedings of the Computing in Cardiology, CinC 2014, 2014
New Additions to the Toolkit for Forward/Inverse Problems in Electrocardiography within the SCIRun Problem Solving Environment.
Proceedings of the Computing in Cardiology, CinC 2014, 2014
2012
Proceedings of the 21st International Meshing Roundtable, 2012
2011
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
A toolkit for forward/inverse problems in electrocardiography within the SCIRun problem solving environment.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011