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W Good

Showing results (211-220 of 225) with videos related to

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Physiological Measurement|August 28, 2024
Evaluation of five methods for the interpolation of bad leads in the solution of the inverse electrocardiography problemY Serinagaoglu Dogrusoz, L R Bear, J A Bergquist, et al.
IEEE Transactions on Bio-Medical Engineering|March 30, 2021
Estimation and Validation of Cardiac Conduction Velocity and Wavefront Reconstruction Using Epicardial and Volumetric DataWilson W Good, Karli K Gillette, Brian Zenger, et al.
Computing in Cardiology|March 23, 2019
Effects of ECG Signal Processing on the Inverse Problem of ElectrocardiographyLaura R Bear, Y Serinagaoglu Dogrusoz, J Svehlikova, et al.
Circulation|May 9, 2022
rECHOmmend: An ECG-Based Machine Learning Approach for Identifying Patients at Increased Risk of Undiagnosed Structural Heart Disease Detectable by EchocardiographyAlvaro E Ulloa-Cerna, Linyuan Jing, John M Pfeifer, et al.
Europace : European Pacing, Arrhythmias, and Cardiac Electrophysiology : Journal of the Working Groups on Cardiac Pacing, Arrhythmias, and Cardiac Cellular Electrophysiology of the European Society of Cardiology|April 18, 2023
Treatment of pathophysiologic propagation outside of the pulmonary veins in retreatment of atrial fibrillation patients: RECOVER AF studyTimothy R Betts, Wilson W Good, Lea Melki, et al.
European Heart Journal|August 7, 2019
Routinely reported ejection fraction and mortality in clinical practice: where does the nadir of risk lie?Gregory J Wehner, Linyuan Jing, Christopher M Haggerty, et al.
JACC. Heart Failure|May 11, 2020
A Machine Learning Approach to Management of Heart Failure PopulationsLinyuan Jing, Alvaro E Ulloa Cerna, Christopher W Good, et al.
Nature Biomedical Engineering|February 9, 2021
Deep-learning-assisted analysis of echocardiographic videos improves predictions of all-cause mortalityAlvaro E Ulloa Cerna, Linyuan Jing, Christopher W Good, et al.
Space Weather : the International Journal of Research & Applications|October 7, 2017
Modeling observations of solar coronal mass ejections with heliospheric imagers verified with the Heliophysics System ObservatoryC Möstl, A Isavnin, P D Boakes, et al.
Nature Medicine|May 13, 2020
Prediction of mortality from 12-lead electrocardiogram voltage data using a deep neural networkSushravya Raghunath, Alvaro E Ulloa Cerna, Linyuan Jing, et al.
Pageof 23

Showing results (211-220 of 225) with videos related to

Sort By:
Pageof 23
Physiological Measurement|August 28, 2024
Evaluation of five methods for the interpolation of bad leads in the solution of the inverse electrocardiography problemY Serinagaoglu Dogrusoz, L R Bear, J A Bergquist, et al.
IEEE Transactions on Bio-Medical Engineering|March 30, 2021
Estimation and Validation of Cardiac Conduction Velocity and Wavefront Reconstruction Using Epicardial and Volumetric DataWilson W Good, Karli K Gillette, Brian Zenger, et al.
Computing in Cardiology|March 23, 2019
Effects of ECG Signal Processing on the Inverse Problem of ElectrocardiographyLaura R Bear, Y Serinagaoglu Dogrusoz, J Svehlikova, et al.
Circulation|May 9, 2022
rECHOmmend: An ECG-Based Machine Learning Approach for Identifying Patients at Increased Risk of Undiagnosed Structural Heart Disease Detectable by EchocardiographyAlvaro E Ulloa-Cerna, Linyuan Jing, John M Pfeifer, et al.
Europace : European Pacing, Arrhythmias, and Cardiac Electrophysiology : Journal of the Working Groups on Cardiac Pacing, Arrhythmias, and Cardiac Cellular Electrophysiology of the European Society of Cardiology|April 18, 2023
Treatment of pathophysiologic propagation outside of the pulmonary veins in retreatment of atrial fibrillation patients: RECOVER AF studyTimothy R Betts, Wilson W Good, Lea Melki, et al.
European Heart Journal|August 7, 2019
Routinely reported ejection fraction and mortality in clinical practice: where does the nadir of risk lie?Gregory J Wehner, Linyuan Jing, Christopher M Haggerty, et al.
JACC. Heart Failure|May 11, 2020
A Machine Learning Approach to Management of Heart Failure PopulationsLinyuan Jing, Alvaro E Ulloa Cerna, Christopher W Good, et al.
Nature Biomedical Engineering|February 9, 2021
Deep-learning-assisted analysis of echocardiographic videos improves predictions of all-cause mortalityAlvaro E Ulloa Cerna, Linyuan Jing, Christopher W Good, et al.
Space Weather : the International Journal of Research & Applications|October 7, 2017
Modeling observations of solar coronal mass ejections with heliospheric imagers verified with the Heliophysics System ObservatoryC Möstl, A Isavnin, P D Boakes, et al.
Nature Medicine|May 13, 2020
Prediction of mortality from 12-lead electrocardiogram voltage data using a deep neural networkSushravya Raghunath, Alvaro E Ulloa Cerna, Linyuan Jing, et al.
Pageof 23