Detalhe da pesquisa
1.
Arrhythmogenic vulnerability of re-entrant pathways in post-infarct ventricular tachycardia assessed by advanced computational modelling.
Europace
; 25(9)2023 08 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-37421339
2.
Personalization of electro-mechanical models of the pressure-overloaded left ventricle: fitting of Windkessel-type afterload models.
Philos Trans A Math Phys Eng Sci
; 378(2173): 20190342, 2020 Jun 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-32448067
3.
Patient-specific modeling of left ventricular electromechanics as a driver for haemodynamic analysis.
Europace
; 18(suppl 4): iv121-iv129, 2016 Dec.
Artigo
em Inglês
| MEDLINE | ID: mdl-28011839
4.
Hybrid Neural State-Space Modeling for Supervised and Unsupervised Electrocardiographic Imaging.
IEEE Trans Med Imaging
; PP2024 Mar 13.
Artigo
em Inglês
| MEDLINE | ID: mdl-38478452
5.
ForCEPSS-A framework for cardiac electrophysiology simulations standardization.
Comput Methods Programs Biomed
; 251: 108189, 2024 Jun.
Artigo
em Inglês
| MEDLINE | ID: mdl-38728827
6.
Predicting postinfarct ventricular tachycardia by integrating cardiac MRI and advanced computational reentrant pathway analysis.
Heart Rhythm
; 2024 Apr 24.
Artigo
em Inglês
| MEDLINE | ID: mdl-38670247
7.
Frequency Domain Analysis of Endocardial Electrograms for Detection of Nontransmural Myocardial Fibrosis in Nonischemic Cardiomyopathy.
JACC Clin Electrophysiol
; 9(7 Pt 1): 923-935, 2023 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-36669900
8.
Predicting arrhythmia recurrence following catheter ablation for ventricular tachycardia using late gadolinium enhancement magnetic resonance imaging: Implications of varying scar ranges.
Heart Rhythm
; 19(10): 1604-1610, 2022 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-35644355
9.
A personalized real-time virtual model of whole heart electrophysiology.
Front Physiol
; 13: 907190, 2022.
Artigo
em Inglês
| MEDLINE | ID: mdl-36213235
10.
Automated Framework for the Inclusion of a His-Purkinje System in Cardiac Digital Twins of Ventricular Electrophysiology.
Ann Biomed Eng
; 49(12): 3143-3153, 2021 Dec.
Artigo
em Inglês
| MEDLINE | ID: mdl-34431016
11.
The openCARP simulation environment for cardiac electrophysiology.
Comput Methods Programs Biomed
; 208: 106223, 2021 Sep.
Artigo
em Inglês
| MEDLINE | ID: mdl-34171774
12.
A Framework for the generation of digital twins of cardiac electrophysiology from clinical 12-leads ECGs.
Med Image Anal
; 71: 102080, 2021 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-33975097
13.
Automating image-based mesh generation and manipulation tasks in cardiac modeling workflows using Meshtool.
SoftwareX
; 11: 100454, 2020.
Artigo
em Inglês
| MEDLINE | ID: mdl-32607406
14.
Double-kissing culotte technique for coronary bifurcation stenting.
EuroIntervention
; 16(9): e724-e733, 2020 Oct 09.
Artigo
em Inglês
| MEDLINE | ID: mdl-32338608
15.
Simulating ventricular systolic motion in a four-chamber heart model with spatially varying robin boundary conditions to model the effect of the pericardium.
J Biomech
; 101: 109645, 2020 03 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-32014305
16.
A publicly available virtual cohort of four-chamber heart meshes for cardiac electro-mechanics simulations.
PLoS One
; 15(6): e0235145, 2020.
Artigo
em Inglês
| MEDLINE | ID: mdl-32589679
17.
Image-based models of cardiac structure with applications in arrhythmia and defibrillation studies.
J Electrocardiol
; 42(2): 157.e1-10, 2009.
Artigo
em Inglês
| MEDLINE | ID: mdl-19181330
18.
Universal ventricular coordinates: A generic framework for describing position within the heart and transferring data.
Med Image Anal
; 45: 83-93, 2018 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-29414438
19.
Assessment of wall stresses and mechanical heart power in the left ventricle: Finite element modeling versus Laplace analysis.
Int J Numer Method Biomed Eng
; 34(12): e3147, 2018 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-30151998
20.
Towards a Computational Framework for Modeling the Impact of Aortic Coarctations Upon Left Ventricular Load.
Front Physiol
; 9: 538, 2018.
Artigo
em Inglês
| MEDLINE | ID: mdl-29892227