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Computing in Cardiology
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May 3, 2021
Experimental Validation of a Novel Extracellular-Based Source Representation of Acute Myocardial Ischemia
Brian Zenger, Jake A Bergquist, Wilson W Good, et al.
Computing in Cardiology
|
August 28, 2024
Capturing the Influence of Conduction Velocity on Epicardial Activation Patterns Using Uncertainty Quantification
Anna Busatto, Lindsay C Rupp, Karli Gillette, et al.
Computing in Cardiology
|
April 22, 2022
Uncertainty Quantification in Simulations of Myocardial Ischemia
Jake A Bergquist, Brian Zenger, Lindsay C Rupp, et al.
Computers in Biology and Medicine
|
May 29, 2021
The electrocardiographic forward problem: A benchmark study
Jake A Bergquist, Wilson W Good, Brian Zenger, et al.
Computing in Cardiology
|
May 3, 2021
Novel Experimental Preparation to Assess Electrocardiographic Imaging Reconstruction Techniques
Jake A Bergquist, Brian Zenger, Wilson W Good, et al.
Computing in Cardiology
|
April 25, 2022
Myocardial Ischemia Detection Using Body Surface Potential Mappings and Machine Learning
James N Brundage, Vai Suliafu, Jake A Bergquist, et al.
Computing in Cardiology
|
August 28, 2024
Uncertainty Quantification of Fiber Orientation and Epicardial Activation
Lindsay C Rupp, Anna Busatto, Jake A Bergquist, et al.
Frontiers in Physiology
|
February 6, 2023
Tipping the scales of understanding: An engineering approach to design and implement whole-body cardiac electrophysiology experimental models
Brian Zenger, Jake A Bergquist, Anna Busatto, et al.
Computing in Cardiology
|
May 3, 2021
Quantifying the Spatiotemporal Influence of Acute Myocardial Ischemia on Volumetric Conduction Speeds
Wilson W Good, Brian Zenger, Jake A Bergquist, et al.
Computing in Cardiology
|
May 3, 2021
Effect of Myocardial Fiber Direction on Epicardial Activation Patterns
Lindsay C Rupp, Wilson W Good, Jake A Bergquist, et al.
Page
of 3
Search research articles
Search
Showing results (1-10 of 26) with videos related to
Sort By:
Page
of 3
Computing in Cardiology
|
May 3, 2021
Experimental Validation of a Novel Extracellular-Based Source Representation of Acute Myocardial Ischemia
Brian Zenger, Jake A Bergquist, Wilson W Good, et al.
Computing in Cardiology
|
August 28, 2024
Capturing the Influence of Conduction Velocity on Epicardial Activation Patterns Using Uncertainty Quantification
Anna Busatto, Lindsay C Rupp, Karli Gillette, et al.
Computing in Cardiology
|
April 22, 2022
Uncertainty Quantification in Simulations of Myocardial Ischemia
Jake A Bergquist, Brian Zenger, Lindsay C Rupp, et al.
Computers in Biology and Medicine
|
May 29, 2021
The electrocardiographic forward problem: A benchmark study
Jake A Bergquist, Wilson W Good, Brian Zenger, et al.
Computing in Cardiology
|
May 3, 2021
Novel Experimental Preparation to Assess Electrocardiographic Imaging Reconstruction Techniques
Jake A Bergquist, Brian Zenger, Wilson W Good, et al.
Computing in Cardiology
|
April 25, 2022
Myocardial Ischemia Detection Using Body Surface Potential Mappings and Machine Learning
James N Brundage, Vai Suliafu, Jake A Bergquist, et al.
Computing in Cardiology
|
August 28, 2024
Uncertainty Quantification of Fiber Orientation and Epicardial Activation
Lindsay C Rupp, Anna Busatto, Jake A Bergquist, et al.
Frontiers in Physiology
|
February 6, 2023
Tipping the scales of understanding: An engineering approach to design and implement whole-body cardiac electrophysiology experimental models
Brian Zenger, Jake A Bergquist, Anna Busatto, et al.
Computing in Cardiology
|
May 3, 2021
Quantifying the Spatiotemporal Influence of Acute Myocardial Ischemia on Volumetric Conduction Speeds
Wilson W Good, Brian Zenger, Jake A Bergquist, et al.
Computing in Cardiology
|
May 3, 2021
Effect of Myocardial Fiber Direction on Epicardial Activation Patterns
Lindsay C Rupp, Wilson W Good, Jake A Bergquist, et al.
Page
of 3