引用次数
引用: 20,387
H-指数: 75
I10-指数 : 295
出版物: 703
A computational framework for simulating cardiac optogenetics
Natalia A Trayanova , Patrick M Boyle , Emilia Entcheva , John C Williams
Computing in Cardiology 5 -8
2
2012
Computational models of atrial fibrillation: achievements, challenges and perspectives for improving clinical care.
Natalia A Trayanova , Stanley Nattel , Jordi Heijman , Harry J G M Crijns
Cardiovascular Research
2021
OptoGap is an optogenetics-enabled assay for quantification of cell-cell coupling in multicellular cardiac tissue.
Natalia A Trayanova , Jinzhu Yu , Patrick M Boyle , Emilia Entcheva
Scientific Reports 11 ( 1) 9310 -9310
2021
See the light: can optogenetics restore healthy heartbeats? And, if it can, is it really worth the effort?
Patrick M Boyle , Emilia Entcheva , Natalia A Trayanova
Expert Review of Cardiovascular Therapy 12 ( 1) 17 -20
16
2014
Virtual electrophysiological study as a tool for evaluating efficacy of MRI techniques in predicting adverse arrhythmic events in ischemic patients
Eranga Ukwatta , Plamen Nikolov , Fatemeh Zabihollahy , Natalia A Trayanova
Physics in Medicine and Biology 63 ( 22) 225008
3
2018
Success and failure of biphasic shocks: results of bidomain simulations
Cory Anderson , Natalia A Trayanova
Bellman Prize in Mathematical Biosciences 174 ( 2) 91 -109
13
2001
Estimation of Local Orientations in Fibrous Structures With Applications to the Purkinje System
Hasan E Çetingül , Gernot Plank , Natalia A Trayanova , René Vidal
IEEE Transactions on Biomedical Engineering 58 ( 6) 1762 -1772
5
2011
Action potential morphology heterogeneity in the atrium and its effect on atrial reentry: a two-dimensional and quasi-three-dimensional study
Samuel R Kuo , Natalia A Trayanova
Philosophical Transactions of the Royal Society A 364 ( 1843) 1349 -1366
15
2006
Mechanistic enquiry into the effect of increased pacing rate on the upper limit of vulnerability
David W Bourn , Mary M Maleckar , Blanca Rodriguez , Natalia A Trayanova
Philosophical Transactions of the Royal Society A 364 ( 1843) 1333 -1348
2
2006
From mitochondrial ion channels to arrhythmias in the heart: computational techniques to bridge the spatio-temporal scales
Gernot Plank , Lufang Zhou , Joseph L Greenstein , Sonia Cortassa
Philosophical Transactions of the Royal Society A 366 ( 1879) 3381 -3409
123
2008
Leave the light on: chronic optogenetic tachypacing of human engineered cardiac tissue constructs.
Patrick M Boyle , Natalia A Trayanova
Cardiovascular Research 116 ( 8) 1405 -1406
1
2020
Virtual 3D heart models to aid pacemaker implantation in children.
Natalia A Trayanova
Future Cardiology 10 ( 1) 5 -8
3
2014
Understanding AF Mechanisms Through Computational Modelling and Simulations.
Konstantinos N Aronis , Rheeda L Ali , Jialiu A Liang , Shijie Zhou
Arrhythmia and Electrophysiology Review 8 ( 3) 210 -219
6
2019
Arrhythmogenic propensity of the fibrotic substrate after atrial fibrillation ablation: A longitudinal study using magnetic resonance imaging-based atrial models
Rheeda L Ali , Joe B Hakim , Patrick M Boyle , Sohail Zahid
Cardiovascular Research 115 ( 12) 1757 -1765
20
2019
Arrhythmia dynamics in computational models of the atria following virtual ablation of re-entrant drivers.
Joe B Hakim , Michael J Murphy , Natalia A Trayanova , Patrick M Boyle
Europace 20
9
2018
Artificial intelligence in the diagnosis and management of arrhythmias
Venkat D Nagarajan , Su-Lin Lee , Jan-Lukas Robertus , Christoph A Nienaber
European heart journal 42 ( 38) 3904 -3916
33
2021
Arrhythmic sudden death survival prediction using deep learning analysis of scarring in the heart
Dan M Popescu , Julie K Shade , Changxin Lai , Konstantinos N Aronis
Nature Cardiovascular Research 1 ( 4) 334 -343
11
2022
Deep learning a person's risk of sudden cardiac death
Natalia A Trayanova , Eric J Topol
The Lancet 399 ( 10339) 1933
2022
Anatomically informed deep learning on contrast-enhanced cardiac magnetic resonance imaging for scar segmentation and clinical feature extraction
Dan M Popescu , Haley G Abramson , Rebecca Yu , Changxin Lai
Cardiovascular Digital Health Journal 3 ( 1) 2 -13
6
2022
Personalized computational heart models with T1-mapped fibrotic remodeling predict sudden death risk in patients with hypertrophic cardiomyopathy
Ryan P O'hara , Edem Binka , Adityo Prakosa , Stefan L Zimmerman
Elife 11 e73325
9
2022