Jake Bergquist

Orcid: 0000-0002-4586-6911

According to our database1, Jake Bergquist authored at least 39 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2023
UncertainSCI: A Python Package for Noninvasive Parametric Uncertainty Quantification of Simulation Pipelines.
J. Open Source Softw., October, 2023

Improving Generalization by Learning Geometry-Dependent and Physics-Based Reconstruction of Image Sequences.
IEEE Trans. Medical Imaging, February, 2023

UncertainSCI: Uncertainty quantification for computational models in biomedicine and bioengineering.
Comput. Biol. Medicine, 2023

Uncertainty Quantification of Fiber Orientation and Epicardial Activation.
Proceedings of the Computing in Cardiology, 2023

Effects of Biventricular Pacing Locations on Anti-Tachycardia Pacing Success in a Patient-Specific Model.
Proceedings of the Computing in Cardiology, 2023

A Grid Search of Fibrosis Thresholds for Uncertainty Quantification in Atrial Flutter Simulations.
Proceedings of the Computing in Cardiology, 2023

Transfer Learning for Improved Classification of Drivers in Atrial Fibrillation.
Proceedings of the Computing in Cardiology, 2023

Comparison of Machine Learning Detection of Low Left Ventricular Ejection Fraction Using Individual ECG Leads.
Proceedings of the Computing in Cardiology, 2023

Uncertainty Quantification of the Effect of Variable Conductivity in Ventricular Fibrotic Regions on Ventricular Tachycardia.
Proceedings of the Computing in Cardiology, 2023

2022
Reducing Line-of-Block Artifacts in Cardiac Activation Maps Estimated Using ECG Imaging: A Comparison of Source Models and Estimation Methods.
IEEE Trans. Biomed. Eng., 2022

Reconstruction of cardiac position using body surface potentials.
Comput. Biol. Medicine, 2022

The Role of Beta-1 Receptors in the Response to Myocardial Ischemia.
Proceedings of the Computing in Cardiology, 2022

A Sliding Window Approach to Regularization in Electrocardiographic Imaging.
Proceedings of the Computing in Cardiology, 2022

Uncertainty Quantification of Cardiac Position on Deep Graph Network ECGI.
Proceedings of the Computing in Cardiology, 2022

Unexpected Errors in the Electrocardiographic Forward Problem.
Proceedings of the Computing in Cardiology, 2022

Heart Position Uncertainty Quantification in the Inverse Problem of ECGI.
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

The effect of interpolating low amplitude leads on the inverse reconstruction of cardiac electrical activity.
Comput. Biol. Medicine, 2021

The electrocardiographic forward problem: A benchmark study.
Comput. Biol. Medicine, 2021

Deep Adaptive Electrocardiographic Imaging with Generative Forward Model for Error Reduction.
Proceedings of the Functional Imaging and Modeling of the Heart, 2021

Simultaneous Multi-heartbeat ECGI Solution with a Time-Varying Forward Model: A Joint Inverse Formulation.
Proceedings of the Functional Imaging and Modeling of the Heart, 2021

The Role of Myocardial Fiber Direction in Epicardial Activation Patterns via Uncertainty Quantification.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

Myocardial Ischemia Detection Using Body Surface Potential Mappings and Machine Learning.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

Uncertainty Quantification in Simulations of Myocardial Ischemia.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

Impact of baseline drift removal on ECG beat classification and alignment.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

2020
Characterizing the transient electrocardiographic signature of ischemic stress using Laplacian Eigenmaps for dimensionality reduction.
Comput. Biol. Medicine, 2020

High-Capacity Cardiac Signal Acquisition System for Flexible, Simultaneous, Multidomain Acquisition.
Proceedings of the Computing in Cardiology, 2020

Experimental Validation of a Novel Extracellular-Based Source Representation of Acute Myocardial Ischemia.
Proceedings of the Computing in Cardiology, 2020

Using UncertainSCI to Quantify Uncertainty in Cardiac Simulations.
Proceedings of the Computing in Cardiology, 2020

Effect of Myocardial Fiber Direction on Epicardial Activation Patterns.
Proceedings of the Computing in Cardiology, 2020

Novel Experimental Preparation to Assess Electrocardiographic Imaging Reconstruction Techniques.
Proceedings of the Computing in Cardiology, 2020

Improving Localization of Cardiac Geometry Using ECGI.
Proceedings of the Computing in Cardiology, 2020

2019
GRÖMeR: A Pipeline for Geodesic Refinement of Mesh Registration.
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

A Unified Pipeline for ECG Imaging Testing.
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

Effects of Interpolation on the Inverse Problem of Electrocardiography.
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
Electrocardiographic Comparison of Dobutamine and Bruce Cardiac Stress Testing With High Resolution Mapping in Experimental Models.
Proceedings of the Computing in Cardiology, 2018


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