@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}}
}
