Detalhe da pesquisa
1.
Atrial fibrillation ablation outcome prediction with a machine learning fusion framework incorporating cardiac computed tomography.
J Cardiovasc Electrophysiol
; 34(5): 1164-1174, 2023 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-36934383
2.
Detection of focal source and arrhythmogenic substrate from body surface potentials to guide atrial fibrillation ablation.
PLoS Comput Biol
; 18(3): e1009893, 2022 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-35312675
3.
Gaussian process manifold interpolation for probabilistic atrial activation maps and uncertain conduction velocity.
Philos Trans A Math Phys Eng Sci
; 378(2173): 20190345, 2020 Jun 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-32448072
4.
Left atrial effective conducting size predicts atrial fibrillation vulnerability in persistent but not paroxysmal atrial fibrillation.
J Cardiovasc Electrophysiol
; 30(9): 1416-1427, 2019 09.
Artigo
em Inglês
| MEDLINE | ID: mdl-31111557
5.
Variability in pulmonary vein electrophysiology and fibrosis determines arrhythmia susceptibility and dynamics.
PLoS Comput Biol
; 14(5): e1006166, 2018 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-29795549
6.
Patient-specific simulations predict efficacy of ablation of interatrial connections for treatment of persistent atrial fibrillation.
Europace
; 20(suppl_3): iii55-iii68, 2018 Nov 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-30476055
7.
Determinants of new wavefront locations in cholinergic atrial fibrillation.
Europace
; 20(suppl_3): iii3-iii15, 2018 Nov 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-30476057
8.
Modelling methodology of atrial fibrosis affects rotor dynamics and electrograms.
Europace
; 18(suppl 4): iv146-iv155, 2016 Dec.
Artigo
em Inglês
| MEDLINE | ID: mdl-28011842
9.
Preventing recurrence through analysing recurrence.
J Cardiovasc Electrophysiol
; 30(11): 2239-2241, 2019 11.
Artigo
em Inglês
| MEDLINE | ID: mdl-31507011
10.
A Review of Personalised Cardiac Computational Modelling Using Electroanatomical Mapping Data.
Arrhythm Electrophysiol Rev
; 13: e08, 2024.
Artigo
em Inglês
| MEDLINE | ID: mdl-38807744
11.
High Prevalence of New Clinically Significant Findings in Patients With Embolic Stroke of Unknown Source Evaluated by Cardiac Magnetic Resonance Imaging.
J Am Heart Assoc
; 13(3): e031489, 2024 Feb 06.
Artigo
em Inglês
| MEDLINE | ID: mdl-38240222
12.
Fiber Organization Has Little Effect on Electrical Activation Patterns During Focal Arrhythmias in the Left Atrium.
IEEE Trans Biomed Eng
; 70(5): 1611-1621, 2023 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-36399589
13.
Fiber Organization has Little Effect on Electrical Activation Patterns during Focal Arrhythmias in the Left Atrium.
ArXiv
; 2023 Apr 22.
Artigo
em Inglês
| MEDLINE | ID: mdl-36776816
14.
Quantifying the impact of shape uncertainty on predicted arrhythmias.
Comput Biol Med
; 153: 106528, 2023 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-36634600
15.
Constructing bilayer and volumetric atrial models at scale.
Interface Focus
; 13(6): 20230038, 2023 Dec 06.
Artigo
em Inglês
| MEDLINE | ID: mdl-38106921
16.
Calibrating cardiac electrophysiology models using latent Gaussian processes on atrial manifolds.
Sci Rep
; 12(1): 16572, 2022 10 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-36195766
17.
A personalized real-time virtual model of whole heart electrophysiology.
Front Physiol
; 13: 907190, 2022.
Artigo
em Inglês
| MEDLINE | ID: mdl-36213235
18.
Predicting Atrial Fibrillation Recurrence by Combining Population Data and Virtual Cohorts of Patient-Specific Left Atrial Models.
Circ Arrhythm Electrophysiol
; 15(2): e010253, 2022 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-35089057
19.
The inspection paradox: An important consideration in the evaluation of rotor lifetimes in cardiac fibrillation.
Front Physiol
; 13: 920788, 2022.
Artigo
em Inglês
| MEDLINE | ID: mdl-36148313
20.
Atrial CARdiac Magnetic resonance imaging in patients with embolic stroke of unknown source without documented Atrial Fibrillation (CARM-AF): Study design and clinical protocol.
Heart Rhythm O2
; 3(2): 196-203, 2022 Apr.
Artigo
em Inglês
| MEDLINE | ID: mdl-35496458