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Arrhythmogenic propensity of the fibrotic substrate after atrial fibrillation ablation: a longitudinal study using magnetic resonance imaging-based atrial models

Cardiovascular research, 2019-10, Vol.115 (12), p.1757-1765

2019

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Feasibility of Using Patient-Specific Models and the “Minimum Cut” Algorithm to Predict Optimal Ablation Targets for Left Atrial Flutter

Heart rhythm, 2016-08, Vol.13 (8), p.1687-1698

2016

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Computationally guided personalized targeted ablation of persistent atrial fibrillation

Nature biomedical engineering, 2019-11, Vol.3 (11), p.870-879

2019

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Elevated fibrosis burden as assessed by MRI predicts cryoballoon ablation failure

Journal of cardiovascular electrophysiology, 2023-02, Vol.34 (2), p.302-312

2023

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Optogenetic Stimulation Using Anion Channelrhodopsin (GtACR1) Facilitates Termination of Reentrant Arrhythmias With Low Light Energy Requirements: A Computational Study

Frontiers in physiology, 2021-08, Vol.12, p.718622-718622

2021

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Personalized computational heart models with T1-mapped fibrotic remodeling predict sudden death risk in patients with hypertrophic cardiomyopathy

eLife, 2022-01, Vol.11

2022

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Explainable Machine Learning to Predict Anchored Reentry Substrate Created by Persistent Atrial Fibrillation Ablation in Computational Models

Journal of the American Heart Association, 2023-08, Vol.12 (16), p.e030500-e030500

2023

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OptoGap is an optogenetics-enabled assay for quantification of cell-cell coupling in multicellular cardiac tissue

Scientific reports, 2021-04, Vol.11 (1), p.9310-9310, Article 9310

2021

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Characterization of the Electrophysiologic Remodeling of Patients With Ischemic Cardiomyopathy by Clinical Measurements and Computer Simulations Coupled With Machine Learning

Frontiers in physiology, 2021-07, Vol.12, p.684149-684149

2021

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Synthetic memory circuits for tracking human cell fate

Genes & development, 2012-07, Vol.26 (13), p.1486-1497

2012

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MRI-quantified left atrial epicardial adipose tissue predicts atrial fibrillation recurrence following catheter ablation

Frontiers in cardiovascular medicine, 2022-12, Vol.9, p.1045742-1045742

2022

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Arrhythmia dynamics in computational models of the atria following virtual ablation of re-entrant drivers

Europace (London, England), 2018-11, Vol.20 (suppl_3), p.iii45-iii54

2018

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Computational modeling identifies embolic stroke of undetermined source patients with potential arrhythmic substrate

eLife, 2021-05, Vol.10

2021

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Comparing Reentrant Drivers Predicted by Image-Based Computational Modeling and Mapped by Electrocardiographic Imaging in Persistent Atrial Fibrillation

Frontiers in physiology, 2018-04, Vol.9, p.414-414

2018

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Fibrosis, atrial fibrillation and stroke: clinical updates and emerging mechanistic models

Heart (British Cardiac Society), 2021-01, Vol.107 (2), p.99-105

2021

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Fusion during entrainment of orthodromic reciprocating tachycardia is enhanced for basal pacing sites but diminished when pacing near Purkinje system end points

Heart rhythm, 2013-03, Vol.10 (3), p.444-451

2013

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The Fibrotic Substrate in Persistent Atrial Fibrillation Patients: Comparison Between Predictions From Computational Modeling and Measurements From Focal Impulse and Rotor Mapping

Frontiers in physiology, 2018-08, Vol.9, p.1151-1151

2018

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Exploring susceptibility to atrial and ventricular arrhythmias resulting from remodeling of the passive electrical properties in the heart: a simulation approach

Frontiers in physiology, 2014-11, Vol.5, p.435-435

2014

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Machine Learning and the Conundrum of Stroke Risk Prediction

Arrhythmia & electrophysiology review, 2023-01, Vol.12, p.e07

2023

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Patient-derived models link re-entrant driver localization in atrial fibrillation to fibrosis spatial pattern

Cardiovascular research, 2016-06, Vol.110 (3), p.443-454

2016

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Insulation of a synthetic hydrogen metabolism circuit in bacteria

Journal of biological engineering, 2010-02, Vol.4 (1), p.3-3, Article 3

2010

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Epicardial adipose tissue is associated with left atrial volume and fibrosis in patients with atrial fibrillation

Frontiers in cardiovascular medicine, 2022-11, Vol.9, p.1045730-1045730

2022

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Whole genome siRNA cell-based screen links mitochondria to Akt signaling network through uncoupling of electron transport chain

Molecular biology of the cell, 2011-05, Vol.22 (10), p.1791-1805

2011

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Translational applications of computational modelling for patients with cardiac arrhythmias

Heart (British Cardiac Society), 2021-03, Vol.107 (6), p.456-461

2021

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Calcium Dynamics and Cardiac Arrhythmia

Clinical Medicine Insights. Cardiology, 2017, Vol.2017, p.1179546817739523-1179546817739523

2017

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Arrhythmogenic propensity of the fibrotic substrate after atrial fibrillation ablation: a longitudinal study using magnetic resonance imaging-based atrial models

Feasibility of Using Patient-Specific Models and the “Minimum Cut” Algorithm to Predict Optimal Ablation Targets for Left Atrial Flutter

Computationally guided personalized targeted ablation of persistent atrial fibrillation

Elevated fibrosis burden as assessed by MRI predicts cryoballoon ablation failure

Optogenetic Stimulation Using Anion Channelrhodopsin (GtACR1) Facilitates Termination of Reentrant Arrhythmias With Low Light Energy Requirements: A Computational Study

Personalized computational heart models with T1-mapped fibrotic remodeling predict sudden death risk in patients with hypertrophic cardiomyopathy

Explainable Machine Learning to Predict Anchored Reentry Substrate Created by Persistent Atrial Fibrillation Ablation in Computational Models

OptoGap is an optogenetics-enabled assay for quantification of cell-cell coupling in multicellular cardiac tissue

Characterization of the Electrophysiologic Remodeling of Patients With Ischemic Cardiomyopathy by Clinical Measurements and Computer Simulations Coupled With Machine Learning

Synthetic memory circuits for tracking human cell fate

MRI-quantified left atrial epicardial adipose tissue predicts atrial fibrillation recurrence following catheter ablation

Arrhythmia dynamics in computational models of the atria following virtual ablation of re-entrant drivers

Computational modeling identifies embolic stroke of undetermined source patients with potential arrhythmic substrate

Comparing Reentrant Drivers Predicted by Image-Based Computational Modeling and Mapped by Electrocardiographic Imaging in Persistent Atrial Fibrillation

Fibrosis, atrial fibrillation and stroke: clinical updates and emerging mechanistic models

Fusion during entrainment of orthodromic reciprocating tachycardia is enhanced for basal pacing sites but diminished when pacing near Purkinje system end points

The Fibrotic Substrate in Persistent Atrial Fibrillation Patients: Comparison Between Predictions From Computational Modeling and Measurements From Focal Impulse and Rotor Mapping

Exploring susceptibility to atrial and ventricular arrhythmias resulting from remodeling of the passive electrical properties in the heart: a simulation approach

Machine Learning and the Conundrum of Stroke Risk Prediction

Patient-derived models link re-entrant driver localization in atrial fibrillation to fibrosis spatial pattern

Insulation of a synthetic hydrogen metabolism circuit in bacteria

Epicardial adipose tissue is associated with left atrial volume and fibrosis in patients with atrial fibrillation

Whole genome siRNA cell-based screen links mitochondria to Akt signaling network through uncoupling of electron transport chain

Translational applications of computational modelling for patients with cardiac arrhythmias

Calcium Dynamics and Cardiac Arrhythmia

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