Lindsay C. Rupp

Orcid: 0000-0002-2688-7688

Affiliations:
  • University of Utah, Salt Lake City, UT, USA


According to our database1, Lindsay C. Rupp authored at least 23 papers between 2019 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

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

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

Capturing the Influence of Conduction Velocity on Epicardial Activation Patterns Using Uncertainty Quantification.
Proceedings of the Computing in Cardiology, 2023

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

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

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

Right Ventricular Shape Distortion in Tricuspid Regurgitation.
Proceedings of the Computing in Cardiology, 2020

Quantifying the Spatiotemporal Influence of Acute Myocardial Ischemia on Volumetric Conduction Speeds.
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
Validation of Intramural Wavefront Reconstruction and Estimation of 3D Conduction Velocity.
Proceedings of the 46th Computing in Cardiology, 2019


  Loading...