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Interactions between calcium‐induced arrhythmia triggers and the electrophysiological–anatomical substrate underlying the induction of atrial fibrillation

The Journal of physiology, 2024-03, Vol.602 (5), p.835-853

2024

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Global Sensitivity Analysis of Thrombus Formation in the Left Atrial Appendage of Atrial Fibrillation Patients

Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers, 2024, Vol.14507, p.55-65

2024

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Effects of Fibrotic Border Zone on Drivers for Atrial Fibrillation: An In-Silico Mechanistic Investigation

Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers, 2024, Vol.14507, p.174-185

2024

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Patchy fibrosis promotes trigger–substrate interactions that both generate and maintain atrial fibrillation

Interface focus, 2023-12, Vol.13 (6)

2023

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Exploring interpretability in deep learning prediction of successful ablation therapy for atrial fibrillation

Frontiers in physiology, 2023-03, Vol.14, p.1054401

2023

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Imaging and biophysical modelling of thrombogenic mechanisms in atrial fibrillation and stroke

Frontiers in cardiovascular medicine, 2023-01, Vol.9, p.1074562-1074562

2023

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TESSLA: Two-Stage Ensemble Scar Segmentation for the Left Atrium

Left Atrial and Scar Quantification and Segmentation, 2023, Vol.13586, p.106-114

2023

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Modelling Blood Flow and Biochemical Reactions Underlying Thrombogenesis in Atrial Fibrillation

Functional Imaging and Modeling of the Heart, 2023, Vol.13958, p.435-444

2023

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Impact of Fibrosis Border Zone Characterisation on Fibrosis-Substrate Isolation Ablation Outcome for Atrial Fibrillation

2022 Computing in Cardiology (CinC), 2022, Vol.498, p.1-4

2022

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Physics-Informed Fully Connected and Recurrent Neural Networks for Cardiac Electrophysiology Modelling

2022 Computing in Cardiology (CinC), 2022, Vol.498, p.1-4

2022

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Modelling Virchow's Triad to Improve Stroke Risk Assessment in Atrial Fibrillation Patients

2022 Computing in Cardiology (CinC), 2022, Vol.498, p.1-4

2022

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Corrigendum: Reinforcement Learning to Improve Image-Guidance of Ablation Therapy for Atrial Fibrillation

Frontiers in physiology, 2021-11, Vol.12, p.799585-799585

2021

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Reinforcement Learning to Improve Image-Guidance of Ablation Therapy for Atrial Fibrillation

Frontiers in physiology, 2021-08, Vol.12, p.733139-733139

2021

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Toward Patient-Specific Prediction of Ablation Strategies for Atrial Fibrillation Using Deep Learning

Frontiers in physiology, 2021-05, Vol.12, p.674106

2021

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Left Atrial Appendage Morphology Impacts Thrombus Formation Risks in Multi-Physics Atrial Models

2021 Computing in Cardiology (CinC), 2021, Vol.48, p.1-4

2021

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Investigation of Low-Voltage Defibrillation by Standing Waves in Human Ventricular Tissue Models

2021 Computing in Cardiology (CinC), 2021, Vol.48, p.1-3

2021

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Evolution of Epicardial Rotors into Breakthrough Waves During Atrial Fibrillation in 3D Canine Biatrial Model with Detailed Fibre Orientation

2021 Computing in Cardiology (CinC), 2021, Vol.48, p.1-4

2021

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Prolonged ursodeoxycholic acid administration reduces acute ischaemia-induced arrhythmias in adult rat hearts

Scientific reports, 2020-09, Vol.10 (1), p.15284-15284, Article 15284

2020

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Identifying locations of re-entrant drivers from patient-specific distribution of fibrosis in the left atrium

PLoS computational biology, 2020-09, Vol.16 (9), p.e1008086-e1008086

2020

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Modelling Left Atrial Flow and Blood Coagulation for Risk of Thrombus Formation in Atrial Fibrillation

2020 Computing in Cardiology, 2020, p.1-4

2020

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Investigating Strain as a Biomarker for Atrial Fibrosis Quantified by Patient Cine MRI Data

2020 Computing in Cardiology, 2020, p.1-4

2020

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Editorial: Recent Advances in Understanding the Basic Mechanisms of Atrial Fibrillation Using Novel Computational Approaches

Frontiers in physiology, 2019-08, Vol.10, p.1065-1065

2019

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Development of a Deep Learning Method to Predict Optimal Ablation Patterns for Atrial Fibrillation

2019 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 2019, p.1-4

2019

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Computational Modelling of Electro-Mechanical Coupling in the Atria and Its Changes During Atrial Fibrillation

Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges, 2019, Vol.11395, p.103-113

2019

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Virtual Catheter Ablation of Target Areas Identified from Image-Based Models of Atrial Fibrillation

Functional Imaging and Modeling of the Heart, 2019, Vol.11504, p.11-19

2019

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Interactions between calcium‐induced arrhythmia triggers and the electrophysiological–anatomical substrate underlying the induction of atrial fibrillation

Global Sensitivity Analysis of Thrombus Formation in the Left Atrial Appendage of Atrial Fibrillation Patients

Effects of Fibrotic Border Zone on Drivers for Atrial Fibrillation: An In-Silico Mechanistic Investigation

Patchy fibrosis promotes trigger–substrate interactions that both generate and maintain atrial fibrillation

Exploring interpretability in deep learning prediction of successful ablation therapy for atrial fibrillation

Imaging and biophysical modelling of thrombogenic mechanisms in atrial fibrillation and stroke

TESSLA: Two-Stage Ensemble Scar Segmentation for the Left Atrium

Modelling Blood Flow and Biochemical Reactions Underlying Thrombogenesis in Atrial Fibrillation

Impact of Fibrosis Border Zone Characterisation on Fibrosis-Substrate Isolation Ablation Outcome for Atrial Fibrillation

Physics-Informed Fully Connected and Recurrent Neural Networks for Cardiac Electrophysiology Modelling

Modelling Virchow's Triad to Improve Stroke Risk Assessment in Atrial Fibrillation Patients

Corrigendum: Reinforcement Learning to Improve Image-Guidance of Ablation Therapy for Atrial Fibrillation

Reinforcement Learning to Improve Image-Guidance of Ablation Therapy for Atrial Fibrillation

Toward Patient-Specific Prediction of Ablation Strategies for Atrial Fibrillation Using Deep Learning

Left Atrial Appendage Morphology Impacts Thrombus Formation Risks in Multi-Physics Atrial Models

Investigation of Low-Voltage Defibrillation by Standing Waves in Human Ventricular Tissue Models

Evolution of Epicardial Rotors into Breakthrough Waves During Atrial Fibrillation in 3D Canine Biatrial Model with Detailed Fibre Orientation

Prolonged ursodeoxycholic acid administration reduces acute ischaemia-induced arrhythmias in adult rat hearts

Identifying locations of re-entrant drivers from patient-specific distribution of fibrosis in the left atrium

Modelling Left Atrial Flow and Blood Coagulation for Risk of Thrombus Formation in Atrial Fibrillation

Investigating Strain as a Biomarker for Atrial Fibrosis Quantified by Patient Cine MRI Data

Editorial: Recent Advances in Understanding the Basic Mechanisms of Atrial Fibrillation Using Novel Computational Approaches

Development of a Deep Learning Method to Predict Optimal Ablation Patterns for Atrial Fibrillation

Computational Modelling of Electro-Mechanical Coupling in the Atria and Its Changes During Atrial Fibrillation

Virtual Catheter Ablation of Target Areas Identified from Image-Based Models of Atrial Fibrillation

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