Feasibility of using patient-specific models and the "minimum cut" algorithm to predict optimal ablation targets for left atrial flutter.
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Spatially Adaptive Multi-Scale Optimization for Local Parameter Estimation in Cardiac Electrophysiology.Anti-arrhythmic strategies for atrial fibrillation: The role of computational modeling in discovery, development, and optimization.Towards personalized computational modelling of the fibrotic substrate for atrial arrhythmia.Imaging-Based Simulations for Predicting Sudden Death and Guiding Ventricular Tachycardia Ablation.Ablation as targeted perturbation to rewire communication network of persistent atrial fibrillation.Cardiac Electrophysiology Under MRI Guidance: an Emerging TechnologyCommentary: Virtual In-Silico Modeling Guided Catheter Ablation Predicts Effective Linear Ablation Lesion Set for Longstanding Persistent Atrial Fibrillation: Multicenter Prospective Randomized Study.Termination of re-entrant atrial tachycardia via optogenetic stimulation with optimized spatial targeting: insights from computational models.Influence of atrial contraction dynamics on cardiac function.Sensitivity of reentrant driver localization to electrophysiological parameter variability in image-based computational models of persistent atrial fibrillation sustained by a fibrotic substrate.Efficient parameterization of cardiac action potential models using a genetic algorithm.Ca2+/calmodulin-dependent kinase II-dependent regulation of atrial myocyte late Na+ current, Ca2+ cycling, and excitability: a mathematical modeling study.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.Comparing Reentrant Drivers Predicted by Image-Based Computational Modeling and Mapped by Electrocardiographic Imaging in Persistent Atrial Fibrillation.Optimization of late gadolinium enhancement cardiovascular magnetic resonance imaging of post-ablation atrial scar: a cross-over study.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
Feasibility of using patient-specific models and the "minimum cut" algorithm to predict optimal ablation targets for left atrial flutter.
description
2016 nî lūn-bûn
@nan
2016年の論文
@ja
2016年学术文章
@wuu
2016年学术文章
@zh-cn
2016年学术文章
@zh-hans
2016年学术文章
@zh-my
2016年学术文章
@zh-sg
2016年學術文章
@yue
2016年學術文章
@zh
2016年學術文章
@zh-hant
name
Feasibility of using patient-s ...... rgets for left atrial flutter.
@en
type
label
Feasibility of using patient-s ...... rgets for left atrial flutter.
@en
prefLabel
Feasibility of using patient-s ...... rgets for left atrial flutter.
@en
P2093
P2860
P1433
P1476
Feasibility of using patient-s ...... rgets for left atrial flutter.
@en
P2093
Adityo Prakosa
Erica L Schwarz
Esra G Ipek
Farhad Pashakhanloo
Henry R Halperin
Jonathan Chrispin
Kaitlyn N Whyte
Natalia A Trayanova
Robert C Blake
Ronald D Berger
P2860
P304
P356
10.1016/J.HRTHM.2016.04.009
P577
2016-04-19T00:00:00Z