@article {43160,
	title = {Comprehensive Phenotypic Characterization of Late Gadolinium Enhancement Predicts Sudden Cardiac Death in Coronary Artery Disease},
	journal = {JACC: Cardiovascular Imaging},
	volume = {21222188431383612310012114772548157661151811577100346352343574},
	year = {2023},
	month = {Jan-01-2023},
	publisher = {ELSEVIER},
	issn = {1936878X},
	doi = {10.1016/j.jcmg.2022.10.020},
	url = {https://linkinghub.elsevier.com/retrieve/pii/S1936878X22006581},
	author = {Richard E. {Jones} and Hassan A. {Zaidi} and Daniel J. {Hammersley} and Hatipoglu, Suzan and Owen, Ruth and Balaban, Gabriel and de Marvao, Antonio and Simard, Fran{\c c}ois and Amrit S. {Lota} and Mahon, Ciara and Almogheer, Batool and Mach, Lukas and Musella, Francesca and Chen, Xiuyu and Gregson, John and Lazzari, Laura and Ravendren, Andrew and Leyva, Francisco and Zhao, Shihua and Vazir, Ali and Lamata, Pablo and Brian P. {Halliday} and Dudley J. {Pennell} and Martin J. {Bishop} and Sanjay K. {Prasad}}
}
@article {43161,
	title = {Machine learning analysis of complex late gadolinium enhancement patterns to improve risk prediction of major arrhythmic eventsBackgroundObjectiveMethodsResultsConclusionData_Sheet_1.PDF},
	journal = {Frontiers in Cardiovascular Medicine},
	volume = {1017164742772491571142121664485113112366167063211822},
	year = {2023},
	month = {Jul-02-2023},
	publisher = {Frontiers},
	doi = {10.3389/fcvm.2023.108277810.3389/fcvm.2023.1082778.s001},
	url = {https://www.frontiersin.org/articles/10.3389/fcvm.2023.1082778/fullhttps://www.frontiersin.org/articles/10.3389/fcvm.2023.1082778/fullhttps://www.frontiersin.org/articles/10.3389/fcvm.2023.1082778/supplementary-material/10.3389/fcvm.2023.1082778.s001},
	author = {Hassan A. {Zaidi} and Richard E. {Jones} and Daniel J. {Hammersley} and Hatipoglu, Suzan and Balaban, Gabriel and Mach, Lukas and Brian P. {Halliday} and Lamata, Pablo and Sanjay K. {Prasad} and Martin J. {Bishop}}
}
@article {27947,
	title = {Late-Gadolinium Enhancement Interface Area and Electrophysiological Simulations Predict Arrhythmic Events in Patients With Nonischemic Dilated Cardiomyopathy},
	journal = {JACC: Clinical Electrophysiology},
	volume = {7},
	year = {2021},
	month = {Jan-02-2021},
	pages = {238 - 249},
	publisher = {Elsevier},
	issn = {2405500X},
	doi = {10.1016/j.jacep.2020.08.036},
	url = {https://linkinghub.elsevier.com/retrieve/pii/S2405500X20308240},
	author = {Balaban, Gabriel and Brian P. {Halliday} and Porter, Bradley and Bai, Wenjia and Nyg{\r a}ard, St{\r a}le and Owen, Ruth and Hatipoglu, Suzan and Nuno Dias {Ferreira} and Izgi, Cemil and Tayal, Upasana and Corden, Ben and Ware, James and Dudley J. {Pennell} and Rueckert, Daniel and Plank, Gernot and Christopher A. {Rinaldi} and Sanjay K. {Prasad} and Martin J. {Bishop}}
}
@article {28258,
	title = {Left ventricular shape predicts arrhythmic risk in fibrotic dilated cardiomyopathy},
	journal = {EP Europace},
	year = {2021},
	month = {12/2021},
	pages = {1-11},
	publisher = {European Society of Cardiology},
	abstract = {Aims: Remodelling of the left ventricular (LV) shape is one of the hallmarks of non-ischaemic dilated cardiomyopathy (DCM) and may contribute to ventricular arrhythmias and sudden cardiac death. We sought to investigate a novel three dimensional (3D) shape analysis approach to quantify LV remodelling for arrhythmia prediction in DCM....................................................................................................................................................................................................Methods and resultsWe created 3D LV shape models from end-diastolic cardiac magnetic resonance images of 156 patients with DCM and late gadolinium enhancement (LGE). Using the shape models, principle component analysis, and Cox-Lasso re-gression, we derived a prognostic LV arrhythmic shape (LVAS) score which identified patients who reached a com-posite arrhythmic endpoint of sudden cardiac death, aborted sudden cardiac death, and sustained ventricular tachy-cardia. We also extracted geometrical metrics to look for potential prognostic markers. During a follow-up period of up to 16 years (median 7.7, interquartile range: 3.9), 25 patients met the arrhythmic endpoint. The optimally prognostic LV shape for predicting the time-to arrhythmic event was a paraboloidal longitudinal profile, with a relatively wide base. The corresponding LVAS was associated with arrhythmic events in univariate Cox regression (hazard ratio = 2.0 per quartile; 95\% confidence interval: 1.3{\textendash}2.9), in univariate Cox regression with propensity score adjustment, and in three multivariate models; with LV ejection fraction, New York Heart Association Class III/IV (Model 1), implantable cardioverter-defibrillator receipt (Model 2), and cardiac resynchronization therapy (Model 3)....................................................................................................................................................................................................ConclusionBiomarkers of LV shape remodelling in DCM can help to identify the patients at greatest risk of lethal ventricular arrhythmias.\&nbsp;},
	author = {Balaban, Gabriel and Brian P. {Halliday} and Hammersley, Daniel and Christopher A {Rinaldi} and Sanjay K {Prasad} and Martin J. {Bishop} and Lamata, Pablo}
}
@article {27948,
	title = {3D Electrophysiological Modeling of Interstitial Fibrosis Networks and Their Role in Ventricular Arrhythmias in Non-Ischemic Cardiomyopathy},
	journal = {IEEE Transactions on Biomedical Engineering},
	volume = {67},
	year = {2020},
	month = {Jan-11-2020},
	pages = {3125 - 3133},
	publisher = { IEEE},
	issn = {0018-9294},
	doi = {10.1109/TBME.1010.1109/TBME.2020.2976924},
	author = {Balaban, Gabriel and Caroline Mendonca {Costa} and Porter, Bradley and Halliday, Brian and Christopher A. {Rinaldi} and Prasad, Sanjay and Plank, Gernot and Tevfik F {Ismail} and Martin J. {Bishop}}
}
@article {28045,
	title = {A computational investigation into rate-dependant vectorcardiogram changes due to specific fibrosis patterns in non-isch{\ae}mic dilated cardiomyopathy},
	journal = {Computers in Biology and Medicine},
	volume = {123},
	year = {2020},
	month = {Jan-08-2020},
	pages = {103895},
	publisher = {Elsevier},
	issn = {00104825},
	doi = {10.1016/j.compbiomed.2020.103895},
	author = {Philip M. {Gemmell} and Gillette, Karli and Balaban, Gabriel and Rajani, Ronak and Edward J. {Vigmond} and Plank, Gernot and Martin J. {Bishop}}
}
@article {27946,
	title = {Scar shape analysis and simulated electrical instabilities in a non-ischemic dilated cardiomyopathy patient cohort},
	journal = {PLOS Computational Biology},
	year = {2019},
	month = {Apr-10-2021},
	publisher = {PLOS},
	url = {https://dx.plos.org/10.1371/journal.pcbi.100742},
	author = {Balaban, Gabriel and Brian P. {Halliday} and Bai, Wenjia and Porter, Bradley and Malvuccio, Carlotta and Lamata, Pablo and Christopher A. {Rinaldi} and Plank, Gernot and Rueckert, Daniel and Sanjay K. {Prasad} and Martin J. {Bishop}},
	editor = {Andrew D. {McCulloch}}
}
@article {27945,
	title = {Fibrosis Microstructure Modulates Reentry in Non-ischemic Dilated Cardiomyopathy: Insights From Imaged Guided 2D Computational Modeling},
	journal = {Frontiers in Physiology},
	number = {1832},
	year = {2018},
	month = {Jul-12-2019},
	publisher = {Frontiers},
	url = {https://www.frontiersin.org/article/10.3389/fphys.2018.01832/},
	author = {Balaban, Gabriel and Brian P. {Halliday} and Caroline Mendonca {Costa} and Bai, Wenjia and Porter, Bradley and Christopher A. {Rinaldi} and Plank, Gernot and Rueckert, Daniel and Sanjay K. {Prasad} and Martin J. {Bishop}}
}
