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Annals of Biomedical Engineering
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September 13, 2011
Cardiac position sensitivity study in the electrocardiographic forward problem using stochastic collocation and boundary element methods
Darrell J Swenson, Sarah E Geneser, Jeroen G Stinstra, et al.
Computing in Cardiology
|
March 13, 2020
Regions of High Dominant Frequency in Chronic Atrial Fibrillation Anchored to Areas of Atrial Fibrosis
Nathan Angel, Eugene G Kholmovski, Elyar Ghafoori, et al.
IEEE Transactions on Medical Imaging
|
October 28, 2022
Improving Generalization by Learning Geometry-Dependent and Physics-Based Reconstruction of Image Sequences
Xiajun Jiang, Maryam Toloubidokhti, Jake Bergquist, et al.
Journal of Electrocardiology
|
August 21, 2018
Temporal Performance of Laplacian Eigenmaps and 3D Conduction Velocity in Detecting Ischemic Stress
Wilson W Good, Burak Erem, Brian Zenger, et al.
Journal of Open Source Software
|
September 28, 2018
PFEIFER: Preprocessing Framework for Electrograms Intermittently Fiducialized from Experimental Recordings
Anton Rodenhauser, Wilson W Good, Brian Zenger, et al.
Computing in Cardiology
|
March 20, 2020
Experimental Validation of Image-Based Modeling of Torso Surface Potentials During Acute Myocardial Ischemia
Brian Zenger, Jake A Bergquist, Wilson W Good, 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.
Journal of Cardiovascular Electrophysiology
|
April 26, 2014
Sensitivity and specificity of substrate mapping: an in silico framework for the evaluation of electroanatomical substrate mapping strategies
Joshua J E Blauer, Darrell Swenson, Koji Higuchi, et al.
Computing in Cardiology
|
October 6, 2025
A Survey of Augmentation Techniques for Enhancing ECG Representation Through Self-Supervised Contrastive Learning
Deekshith Dade, Jake A Bergquist, Rob S MacLeod, et al.
Journal of Electrocardiology
|
September 25, 2012
Methodology for patient-specific modeling of atrial fibrosis as a substrate for atrial fibrillation
Kathleen S McDowell, Fijoy Vadakkumpadan, Robert Blake, et al.
Page
of 14
Search research articles
Search
Showing results (41-50 of 140) with videos related to
Sort By:
Page
of 14
Annals of Biomedical Engineering
|
September 13, 2011
Cardiac position sensitivity study in the electrocardiographic forward problem using stochastic collocation and boundary element methods
Darrell J Swenson, Sarah E Geneser, Jeroen G Stinstra, et al.
Computing in Cardiology
|
March 13, 2020
Regions of High Dominant Frequency in Chronic Atrial Fibrillation Anchored to Areas of Atrial Fibrosis
Nathan Angel, Eugene G Kholmovski, Elyar Ghafoori, et al.
IEEE Transactions on Medical Imaging
|
October 28, 2022
Improving Generalization by Learning Geometry-Dependent and Physics-Based Reconstruction of Image Sequences
Xiajun Jiang, Maryam Toloubidokhti, Jake Bergquist, et al.
Journal of Electrocardiology
|
August 21, 2018
Temporal Performance of Laplacian Eigenmaps and 3D Conduction Velocity in Detecting Ischemic Stress
Wilson W Good, Burak Erem, Brian Zenger, et al.
Journal of Open Source Software
|
September 28, 2018
PFEIFER: Preprocessing Framework for Electrograms Intermittently Fiducialized from Experimental Recordings
Anton Rodenhauser, Wilson W Good, Brian Zenger, et al.
Computing in Cardiology
|
March 20, 2020
Experimental Validation of Image-Based Modeling of Torso Surface Potentials During Acute Myocardial Ischemia
Brian Zenger, Jake A Bergquist, Wilson W Good, 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.
Journal of Cardiovascular Electrophysiology
|
April 26, 2014
Sensitivity and specificity of substrate mapping: an in silico framework for the evaluation of electroanatomical substrate mapping strategies
Joshua J E Blauer, Darrell Swenson, Koji Higuchi, et al.
Computing in Cardiology
|
October 6, 2025
A Survey of Augmentation Techniques for Enhancing ECG Representation Through Self-Supervised Contrastive Learning
Deekshith Dade, Jake A Bergquist, Rob S MacLeod, et al.
Journal of Electrocardiology
|
September 25, 2012
Methodology for patient-specific modeling of atrial fibrosis as a substrate for atrial fibrillation
Kathleen S McDowell, Fijoy Vadakkumpadan, Robert Blake, et al.
Page
of 14