Preprocedure Application of Machine Learning and Mechanistic Simulations Predicts Likelihood of Paroxysmal Atrial Fibrillation Recurrence Following Pulmonary Vein Isolation

The role of personalized atrial modeling in understanding atrial fibrillation mechanisms and improving treatment

(2019) Konstantinos N. Aronis et al.   INTERNATIONAL JOURNAL OF CARDIOLOGY

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

(2019) Rheeda L Ali et al.   CARDIOVASCULAR RESEARCH

Computationally guided personalized targeted ablation of persistent atrial fibrillation

(2019) Patrick M. Boyle et al.   Nature Biomedical Engineering

Risk of Mortality Following Catheter Ablation of Atrial Fibrillation

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

(2018) Patrick M. Boyle et al.   Frontiers in Physiology

Predictors of atrial fibrillation early recurrence following cryoballoon ablation of pulmonary veins using statistical assessment and machine learning algorithms

(2018) Jan Budzianowski et al.   HEART AND VESSELS

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

(2018) Patrick M. Boyle et al.   Frontiers in Physiology

Wavelength and Fibrosis Affect Phase Singularity Locations During Atrial Fibrillation

(2018) Mirabeau Saha et al.   Frontiers in Physiology

Rethinking multiscale cardiac electrophysiology with machine learning and predictive modelling

(2018) Chris D. Cantwell et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Development and validation of a risk score for predicting atrial fibrillation recurrence after a first catheter ablation procedure – ATLAS score

(2017) João Mesquita et al.   EUROPACE

Pathophysiology of Paroxysmal and Persistent Atrial Fibrillation: Rotors, Foci and Fibrosis

(2017) Dennis H. Lau et al.   Heart Lung and Circulation

2017 HRS/EHRA/ECAS/APHRS/SOLAECE expert consensus statement on catheter and surgical ablation of atrial fibrillation

(2017) Hugh Calkins et al.   HEART RHYTHM

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

(2016) Sohail Zahid et al.   CARDIOVASCULAR RESEARCH

Feasibility of using patient-specific models and the “minimum cut” algorithm to predict optimal ablation targets for left atrial flutter

(2016) Sohail Zahid et al.   HEART RHYTHM

Predicting atrial fibrillation ablation outcome: The CAAP-AF score

(2016) Roger A. Winkle et al.   HEART RHYTHM

An Efficient Fractal Method for Detection and Diagnosis of Breast Masses in Mammograms

(2014) S. M. A. Beheshti et al.   JOURNAL OF DIGITAL IMAGING

Atrial Fibrillation Ablation Outcome Is Predicted by Left Atrial Remodeling on MRI

(2013) Christopher McGann et al.   Circulation-Arrhythmia and Electrophysiology

Magnetic resonance image intensity ratio, a normalized measure to enable interpatient comparability of left atrial fibrosis

(2013) Irfan M. Khurram et al.   HEART RHYTHM

Mechanisms of Human Atrial Fibrillation Initiation

(2012) David E. Krummen et al.   Circulation-Arrhythmia and Electrophysiology

Methodology for patient-specific modeling of atrial fibrosis as a substrate for atrial fibrillation

(2012) Kathleen S. McDowell et al.   JOURNAL OF ELECTROCARDIOLOGY

Image-based models of cardiac structure with applications in arrhythmia and defibrillation studies

(2009) Fijoy Vadakkumpadan et al.   JOURNAL OF ELECTROCARDIOLOGY

Atrial Remodeling and Atrial Fibrillation

(2008) Stanley Nattel et al.   Circulation-Arrhythmia and Electrophysiology

From mitochondrial ion channels to arrhythmias in the heart: computational techniques to bridge the spatio-temporal scales

(2008) G. Plank et al.   PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES

Structural remodeling in atrial fibrillation

(2008) Domenico Corradi et al.   Nature clinical practice. Cardiovascular medicine

Solvers for the cardiac bidomain equations

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