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Adityo Prakosa

Showing results (1-10 of 57) with videos related to

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Heart Rhythm|October 23, 2023
Up digital and personal: How heart digital twins can transform heart patient careNatalia A Trayanova, Adityo Prakosa
Nature Cardiovascular Research|April 24, 2025
Reply to: Stochastic virtual heart model predictionsEric Sung, Adityo Prakosa, Natalia Trayanova
Frontiers in Physiology|October 18, 2021
Analyzing the Role of Repolarization Gradients in Post-infarct Ventricular Tachycardia Dynamics Using Patient-Specific Computational Heart ModelsEric Sung, Adityo Prakosa, Natalia A Trayanova
Wiley Interdisciplinary Reviews. Systems Biology and Medicine|January 10, 2020
How personalized heart modeling can help treatment of lethal arrhythmias: A focus on ventricular tachycardia ablation strategies in post-infarction patientsNatalia A Trayanova, Ashish N Doshi, Adityo Prakosa
Heart Rhythm|October 31, 2024
Top stories on using computational modeling and artificial intelligence to uncover arrhythmogenic mechanisms and advance arrhythmia managementNatalia A Trayanova, Minglang Yin, Adityo Prakosa
Frontiers in Physiology|June 11, 2019
Sensitivity of Ablation Targets Prediction to Electrophysiological Parameter Variability in Image-Based Computational Models of Ventricular Tachycardia in Post-infarction PatientsDongdong Deng, Adityo Prakosa, Julie Shade, et al.
Biophysical Journal|August 27, 2019
Characterizing Conduction Channels in Postinfarction Patients Using a Personalized Virtual HeartDongdong Deng, Adityo Prakosa, Julie Shade, 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|August 25, 2022
Wavefront directionality and decremental stimuli synergistically improve identification of ventricular tachycardia substrate: insights from personalized computational heart modelsEric Sung, Adityo Prakosa, Stephen Kyranakis, 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|December 25, 2016
A feasibility study of arrhythmia risk prediction in patients with myocardial infarction and preserved ejection fractionDongdong Deng, Hermenegild J Arevalo, Adityo Prakosa, et al.
Journal of Electrocardiology|October 2, 2022
Arrhythmia in hypertrophic cardiomyopathy: Risk prediction using contrast enhanced MRI, T1 mapping, and personalized virtual heart technologyRyan P O'Hara, Adityo Prakosa, Edem Binka, et al.
Pageof 6

Showing results (1-10 of 57) with videos related to

Sort By:
Pageof 6
Heart Rhythm|October 23, 2023
Up digital and personal: How heart digital twins can transform heart patient careNatalia A Trayanova, Adityo Prakosa
Nature Cardiovascular Research|April 24, 2025
Reply to: Stochastic virtual heart model predictionsEric Sung, Adityo Prakosa, Natalia Trayanova
Frontiers in Physiology|October 18, 2021
Analyzing the Role of Repolarization Gradients in Post-infarct Ventricular Tachycardia Dynamics Using Patient-Specific Computational Heart ModelsEric Sung, Adityo Prakosa, Natalia A Trayanova
Wiley Interdisciplinary Reviews. Systems Biology and Medicine|January 10, 2020
How personalized heart modeling can help treatment of lethal arrhythmias: A focus on ventricular tachycardia ablation strategies in post-infarction patientsNatalia A Trayanova, Ashish N Doshi, Adityo Prakosa
Heart Rhythm|October 31, 2024
Top stories on using computational modeling and artificial intelligence to uncover arrhythmogenic mechanisms and advance arrhythmia managementNatalia A Trayanova, Minglang Yin, Adityo Prakosa
Frontiers in Physiology|June 11, 2019
Sensitivity of Ablation Targets Prediction to Electrophysiological Parameter Variability in Image-Based Computational Models of Ventricular Tachycardia in Post-infarction PatientsDongdong Deng, Adityo Prakosa, Julie Shade, et al.
Biophysical Journal|August 27, 2019
Characterizing Conduction Channels in Postinfarction Patients Using a Personalized Virtual HeartDongdong Deng, Adityo Prakosa, Julie Shade, 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|August 25, 2022
Wavefront directionality and decremental stimuli synergistically improve identification of ventricular tachycardia substrate: insights from personalized computational heart modelsEric Sung, Adityo Prakosa, Stephen Kyranakis, 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|December 25, 2016
A feasibility study of arrhythmia risk prediction in patients with myocardial infarction and preserved ejection fractionDongdong Deng, Hermenegild J Arevalo, Adityo Prakosa, et al.
Journal of Electrocardiology|October 2, 2022
Arrhythmia in hypertrophic cardiomyopathy: Risk prediction using contrast enhanced MRI, T1 mapping, and personalized virtual heart technologyRyan P O'Hara, Adityo Prakosa, Edem Binka, et al.
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