Methodology for patient-specific modeling of atrial fibrosis as a substrate for atrial fibrillation.
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What do we currently know about metabolic syndrome and atrial fibrillation?Novel Radiofrequency Ablation Strategies for Terminating Atrial Fibrillation in the Left Atrium: A Simulation Study.Optimization of catheter ablation of atrial fibrillation: insights gained from clinically-derived computer modelsImages as drivers of progress in cardiac computational modelling.Pro-arrhythmogenic effects of atrial fibrillation-induced electrical remodelling: insights from the three-dimensional virtual human atriaMathematical approaches to understanding and imaging atrial fibrillation: significance for mechanisms and managementOptogenetic defibrillation terminates ventricular arrhythmia in mouse hearts and human simulations.Three-dimensional histology: tools and application to quantitative assessment of cell-type distribution in rabbit heart.Exploring susceptibility to atrial and ventricular arrhythmias resulting from remodeling of the passive electrical properties in the heart: a simulation approachVirtual electrophysiological study of atrial fibrillation in fibrotic remodelingComputational modeling of cardiac optogenetics: Methodology overview & review of findings from simulationsRapid automatic segmentation of abnormal tissue in late gadolinium enhancement cardiovascular magnetic resonance images for improved management of long-standing persistent atrial fibrillation.Heterogeneous and anisotropic integrative model of pulmonary veins: computational study of arrhythmogenic substrate for atrial fibrillationPatient-derived models link re-entrant driver localization in atrial fibrillation to fibrosis spatial pattern.Mechanistic inquiry into the role of tissue remodeling in fibrotic lesions in human atrial fibrillation.Effects of Na+ Current and Mechanogated Channels in Myofibroblasts on Myocyte Excitability and RepolarizationLeft atrium and the imaging of atrial fibrosis: catch it if you can!How computer simulations of the human heart can improve anti-arrhythmia therapy.Anti-arrhythmic strategies for atrial fibrillation: The role of computational modeling in discovery, development, and optimization.Multi-scale Modeling of the Cardiovascular System: Disease Development, Progression, and Clinical Intervention.Can heart function lost to disease be regenerated by therapeutic targeting of cardiac scar tissue?Towards personalized computational modelling of the fibrotic substrate for atrial arrhythmia.Lessons from computer simulations of ablation of atrial fibrillation.Feasibility of using patient-specific models and the "minimum cut" algorithm to predict optimal ablation targets for left atrial flutter.Non-invasive localization of atrial ectopic beats by using simulated body surface P-wave integral maps.Signal Reconstruction of Pulmonary Vein Recordings Using a Phenomenological Mathematical Model: Application to Pulmonary Vein Isolation Therapy.Optogenetics-enabled dynamic modulation of action potential duration in atrial tissue: feasibility of a novel therapeutic approach.Computational cardiology: the heart of the matter.A bilayer model of human atria: mathematical background, construction, and assessment.Termination of re-entrant atrial tachycardia via optogenetic stimulation with optimized spatial targeting: insights from computational models.Sensitivity of reentrant driver localization to electrophysiological parameter variability in image-based computational models of persistent atrial fibrillation sustained by a fibrotic substrate.Modeling dynamics in diseased cardiac tissue: Impact of model choice.Systematic reduction of a detailed atrial myocyte model.Using personalized computer models to custom-tailor ablation procedures for atrial fibrillation patients: are we there yet?Validation and Trustworthiness of Multiscale Models of Cardiac Electrophysiology.Tissue-Specific Optical Mapping Models of Swine Atria Informed by Optical Coherence Tomography.Comparing Reentrant Drivers Predicted by Image-Based Computational Modeling and Mapped by Electrocardiographic Imaging in Persistent Atrial Fibrillation.A work flow to build and validate patient specific left atrium electrophysiology models from catheter measurements.A Computational Framework to Benchmark Basket Catheter Guided Ablation in Atrial FibrillationThe Fibrotic Substrate in Persistent Atrial Fibrillation Patients: Comparison Between Predictions From Computational Modeling and Measurements From Focal Impulse and Rotor Mapping
P2860
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P2860
Methodology for patient-specific modeling of atrial fibrosis as a substrate for atrial fibrillation.
description
2012 nî lūn-bûn
@nan
2012年の論文
@ja
2012年学术文章
@wuu
2012年学术文章
@zh-cn
2012年学术文章
@zh-hans
2012年学术文章
@zh-my
2012年学术文章
@zh-sg
2012年學術文章
@yue
2012年學術文章
@zh
2012年學術文章
@zh-hant
name
Methodology for patient-specif ...... trate for atrial fibrillation.
@en
Methodology for patient-specif ...... trate for atrial fibrillation.
@nl
type
label
Methodology for patient-specif ...... trate for atrial fibrillation.
@en
Methodology for patient-specif ...... trate for atrial fibrillation.
@nl
prefLabel
Methodology for patient-specif ...... trate for atrial fibrillation.
@en
Methodology for patient-specif ...... trate for atrial fibrillation.
@nl
P2093
P2860
P1476
Methodology for patient-specif ...... trate for atrial fibrillation.
@en
P2093
Fijoy Vadakkumpadan
Joshua Blauer
Kathleen S McDowell
Natalia A Trayanova
Rob S MacLeod
Robert Blake
P2860
P304
P356
10.1016/J.JELECTROCARD.2012.08.005
P50
P577
2012-09-19T00:00:00Z