Electrocardiographic Comparison of Dobutamine and Bruce Cardiac Stress Testing With High Resolution Mapping in Experimental Models. - Brian Zenger; Wilson Good; Rob S. MacLeod; Jess D. Tate; Vikas Sharma; Jake Bergquist (CinC, 2018)

Optimizing the Reconstruction of Cardiac Potentials Using a Novel High Resolution Pericardiac Cage. - Jake A. Bergquist; Wilson W. Good; Brian Zenger; Jess D. Tate; Rob S. MacLeod (CinC, 2019)

Effects of Interpolation on the Inverse Problem of Electrocardiography. - Yesim Serinagaoglu Dogrusoz; Laura R. Bear; Jake Bergquist; Rémi Dubois; Wilson Good; Robert S. MacLeod; Ali Rababah; Job Stoks (CinC, 2019)

Validation of Intramural Wavefront Reconstruction and Estimation of 3D Conduction Velocity. - Wilson W. Good; Karli K. Gillette; Jake A. Bergquist; Brian Zenger; Jess D. Tate; Lindsay C. Rupp; Devan Anderson; Gernot Plank; Rob S. MacLeod (CinC, 2019)

A Unified Pipeline for ECG Imaging Testing. - Jess D. Tate; Eelco van Dam; Wilson Good; Jake Bergquist; Peter M. van Dam; Rob S. MacLeod (CinC, 2019)

Experimental Validation of Image-Based Modeling of Torso Surface Potentials During Acute Myocardial Ischemia. - Brian Zenger; Jake A. Bergquist; Wilson W. Good; Brett M. Burton; Jess D. Tate; Rob S. MacLeod (CinC, 2019)

GRÖMeR: A Pipeline for Geodesic Refinement of Mesh Registration. - Jake A. Bergquist; Wilson W. Good; Brian Zenger; Jess D. Tate; Robert S. MacLeod (FIMH, 2019)

Improving Localization of Cardiac Geometry Using ECGI. - Jake A. Bergquist; Jaume Coll-Font; Brian Zenger; Lindsay C. Rupp; Wilson W. Good; Dana H. Brooks; Rob S. MacLeod (CinC, 2020)

Novel Experimental Preparation to Assess Electrocardiographic Imaging Reconstruction Techniques. - Jake A. Bergquist; Brian Zenger; Wilson W. Good; Lindsay C. Rupp; Laura R. Bear; Rob S. MacLeod (CinC, 2020)

Effect of Myocardial Fiber Direction on Epicardial Activation Patterns. - Lindsay C. Rupp; Wilson W. Good; Jake A. Bergquist; Brian Zenger; Karli Gillette; Gernot Plank; Rob S. MacLeod (CinC, 2020)

Using UncertainSCI to Quantify Uncertainty in Cardiac Simulations. - Lindsay C. Rupp; Zexin Liu; Jake A. Bergquist; Sumientra Rampersad; Dan White; Jess D. Tate; Dana H. Brooks; Akil Narayan 001; Rob S. MacLeod (CinC, 2020)

Experimental Validation of a Novel Extracellular-Based Source Representation of Acute Myocardial Ischemia. - Brian Zenger; Jake A. Bergquist; Wilson W. Good; Lindsay C. Rupp; Rob S. MacLeod (CinC, 2020)

High-Capacity Cardiac Signal Acquisition System for Flexible, Simultaneous, Multidomain Acquisition. - Brian Zenger; Jake A. Bergquist; Wilson W. Good; Bruce Steadman; Rob S. MacLeod (CinC, 2020)

Characterizing the transient electrocardiographic signature of ischemic stress using Laplacian Eigenmaps for dimensionality reduction. - Wilson W. Good; Burak Erem; Brian Zenger; Jaume Coll-Font; Jake A. Bergquist; Dana H. Brooks; Rob S. MacLeod (Comput. Biol. Medicine, 2020)

Impact of baseline drift removal on ECG beat classification and alignment. - Laura R. Bear; Jana Svehlíková; Jake A. Bergquist; Wilson W. Good; Ali Rababah; Jaume Coll-Font; Robert S. MacLeod; Eelco van Dam; Rémi Dubois (CinC, 2021)

Uncertainty Quantification in Simulations of Myocardial Ischemia. - Jake A. Bergquist; Brian Zenger; Lindsay C. Rupp; Akil Narayan 001; Jess D. Tate; Rob S. MacLeod (CinC, 2021)

Myocardial Ischemia Detection Using Body Surface Potential Mappings and Machine Learning. - James N. Brundage; Vai Suliafu; Jake A. Bergquist; Brian Zenger; Lindsay C. Rupp; Bao Wang 001; Rob S. MacLeod (CinC, 2021)

The Role of Myocardial Fiber Direction in Epicardial Activation Patterns via Uncertainty Quantification. - Lindsay C. Rupp; Jake A. Bergquist; Brian Zenger; Karli Gillette; Akil Narayan 001; Jess D. Tate; Gernot Plank; Rob S. MacLeod (CinC, 2021)

Simultaneous Multi-heartbeat ECGI Solution with a Time-Varying Forward Model: A Joint Inverse Formulation. - Jake A. Bergquist; Jaume Coll-Font; Brian Zenger; Lindsay C. Rupp; Wilson W. Good; Dana H. Brooks; Rob S. MacLeod (FIMH, 2021)

Deep Adaptive Electrocardiographic Imaging with Generative Forward Model for Error Reduction. - Maryam Toloubidokhti; Prashnna K. Gyawali; Omar A. Gharbia; Xiajun Jiang; Jaume Coll-Font; Jake A. Bergquist; Brian Zenger; Wilson W. Good; Dana H. Brooks; Rob S. MacLeod; Linwei Wang (FIMH, 2021)

The electrocardiographic forward problem: A benchmark study. - Jake A. Bergquist; Wilson W. Good; Brian Zenger; Jess D. Tate; Lindsay C. Rupp; Rob S. MacLeod (Comput. Biol. Medicine, 2021)

The effect of interpolating low amplitude leads on the inverse reconstruction of cardiac electrical activity. - Ali S. Rababah; Laura R. Bear; Yesim Serinagaoglu Dogrusoz; Wilson Good; Jake Bergquist; Job Stoks; Rob S. MacLeod; Khaled Rjoob; Michael Jennings; James McLaughlin 001; Dewar D. Finlay (Comput. Biol. Medicine, 2021)

Estimation and Validation of Cardiac Conduction Velocity and Wavefront Reconstruction Using Epicardial and Volumetric Data. - Wilson W. Good; Karli K. Gillette; Brian Zenger; Jake A. Bergquist; Lindsay C. Rupp; Jess D. Tate; Devan Anderson; Matthias A. F. Gsell; Gernot Plank; Rob S. MacLeod (IEEE Trans. Biomed. Eng., 2021)

Heart Position Uncertainty Quantification in the Inverse Problem of ECGI. - Jake A. Bergquist; Lindsay C. Rupp; Anna Busatto; Ben Orkild; Brian Zenger; Wilson Good; Jaume Coll-Font; Akil Narayan 001; Jess D. Tate; Dana H. Brooks; Rob S. MacLeod (CinC, 2022)

Unexpected Errors in the Electrocardiographic Forward Problem. - Anna Busatto; Jake A. Bergquist; Lindsay C. Rupp; Brian Zenger; Rob S. MacLeod (CinC, 2022)

Uncertainty Quantification of Cardiac Position on Deep Graph Network ECGI. - Xiajun Jiang; Jess D. Tate; Jake Bergquist; Akil Narayan 001; Rob S. MacLeod; Linwei Wang (CinC, 2022)

A Sliding Window Approach to Regularization in Electrocardiographic Imaging. - Benjamin A. Orkild; Jake A. Bergquist; Lindsay C. Rupp; Anna Busatto; Brian Zenger; Wilson W. Good; Jaume Coll-Font; Rob S. MacLeod (CinC, 2022)

The Role of Beta-1 Receptors in the Response to Myocardial Ischemia. - Lindsay C. Rupp; Brian Zenger; Jake A. Bergquist; Anna Busatto; Rob S. MacLeod (CinC, 2022)

Reconstruction of cardiac position using body surface potentials. - Jake A. Bergquist; Jaume Coll-Font; Brian Zenger; Lindsay C. Rupp; Wilson W. Good; Dana H. Brooks; Rob S. MacLeod (Comput. Biol. Medicine, 2022)

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)

Uncertainty Quantification of the Effect of Variable Conductivity in Ventricular Fibrotic Regions on Ventricular Tachycardia. - Jake A. Bergquist; Matthias Lange; Brian Zenger; Benjamin A. Orkild; Eric Paccione; Eugene Kwan; Bram Hunt; Jiawei Dong; Rob S. MacLeod; Akil Narayan 001; Ravi Ranjan (CinC, 2023)

Comparison of Machine Learning Detection of Low Left Ventricular Ejection Fraction Using Individual ECG Leads. - Jake A. Bergquist; Brian Zenger; James N. Brundage; Rob S. MacLeod; Rashmee Shah; Xiangyang Ye; Ann Lyones; Ravi Ranjan; Tolga Tasdizen; T. Jared Bunch; Benjamin Steinberg (CinC, 2023)

Transfer Learning for Improved Classification of Drivers in Atrial Fibrillation. - Bram Hunt; Eugene Kwan; Tolga Tasdizen; Jake Bergquist; Matthias Lange; Benjamin A. Orkild; Robert S. MacLeod; Derek J. Dosdall; Ravi Ranjan (CinC, 2023)

A Grid Search of Fibrosis Thresholds for Uncertainty Quantification in Atrial Flutter Simulations. - Benjamin A. Orkild; Jake A. Bergquist; Eric Paccione; Matthias Lange; Eugene Kwan; Bram Hunt; Rob S. MacLeod; Akil Narayan 001; Ravi Ranjan (CinC, 2023)

Effects of Biventricular Pacing Locations on Anti-Tachycardia Pacing Success in a Patient-Specific Model. - Eric Paccione; Matthias Lange; Benjamin A. Orkild; Jake A. Bergquist; Eugene Kwan; Bram Hunt; Derek J. Dosdall; Robert S. MacLeod; Ravi Ranjan (CinC, 2023)

Uncertainty Quantification of Fiber Orientation and Epicardial Activation. - Lindsay C. Rupp; Anna Busatto; Jake A. Bergquist; Karli Gillette; Akil Narayan 001; Gernot Plank; Rob S. MacLeod (CinC, 2023)

UncertainSCI: Uncertainty quantification for computational models in biomedicine and bioengineering. - Akil Narayan 001; Zexin Liu; Jake A. Bergquist; Chantel Charlebois; Sumientra Rampersad; Lindsay C. Rupp; Dana H. Brooks; Dan White; Jess D. Tate; Rob S. MacLeod (Comput. Biol. Medicine, 2023)

Improving Generalization by Learning Geometry-Dependent and Physics-Based Reconstruction of Image Sequences. - Xiajun Jiang; Maryam Toloubidokhti; Jake Bergquist; Brian Zenger; Wilson W. Good; Rob S. MacLeod; Linwei Wang (IEEE Trans. Medical Imaging, 2023)

UncertainSCI: A Python Package for Noninvasive Parametric Uncertainty Quantification of Simulation Pipelines. - Jess D. Tate; Zexin Liu; Jake A. Bergquist; Sumientra Rampersad; Dan White; Chantel Charlebois; Lindsay C. Rupp; Dana H. Brooks; Rob S. MacLeod; Akil Narayan 001 (J. Open Source Softw., 2023)

Hierarchical Transformer for Electrocardiogram Diagnosis. - Xiaoya Tang; Jake Bergquist; Benjamin Steinberg; Tolga Tasdizen (CoRR, 2024)