Biophysical Modeling Predicts Ventricular Tachycardia Inducibility and Circuit Morphology: A Combined Clinical Validation and Computer Modeling Approach.
about
Imaging-Based Simulations for Predicting Sudden Death and Guiding Ventricular Tachycardia Ablation.Multifidelity-CMA: a multifidelity approach for efficient personalisation of 3D cardiac electromechanical models.ECG imaging of ventricular tachycardia: evaluation against simultaneous non-contact mapping and CMR-derived grey zone.Validation and Trustworthiness of Multiscale Models of Cardiac Electrophysiology.A new approach to the intracardiac inverse problem using Laplacian distance kernel.
P2860
Biophysical Modeling Predicts Ventricular Tachycardia Inducibility and Circuit Morphology: A Combined Clinical Validation and Computer Modeling Approach.
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
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-hant
name
Biophysical Modeling Predicts ...... nd Computer Modeling Approach.
@en
Biophysical Modeling Predicts ...... nd Computer Modeling Approach.
@nl
type
label
Biophysical Modeling Predicts ...... nd Computer Modeling Approach.
@en
Biophysical Modeling Predicts ...... nd Computer Modeling Approach.
@nl
prefLabel
Biophysical Modeling Predicts ...... nd Computer Modeling Approach.
@en
Biophysical Modeling Predicts ...... nd Computer Modeling Approach.
@nl
P2093
P2860
P50
P356
P1476
Biophysical Modeling Predicts ...... and Computer Modeling Approach
@en
P2093
Anoop Shetty
Herve Delingette
Jaswinder Gill
Jatin Relan
Kawal Rhode
Manav Sohal
Nicholas Ayache
Peter Taggart
Rocio Cabrera-Lozoya
Zhong Chen
P2860
P304
P356
10.1111/JCE.12991
P577
2016-06-08T00:00:00Z