Bryan Gopal, Ryan W. Han, Gautham Raghupathi, Andrew Y. Ng, Geoffrey H. Tison, Pranav Rajpurkar. 3KG: Contrastive Learning of 12-Lead Electrocardiograms using Physiologically-Inspired Augmentations. In Subhrajit Roy, Stephen Pfohl, Emma Rocheteau, Girmaw Abebe Tadesse, Luis Oala, Fabian Falck, Yuyin Zhou, Liyue Shen, Ghada Zamzmi, Purity Mugambi, Ayah Zirikly, Matthew B. A. McDermott, Emily Alsentzer, editors, Machine Learning for Health, ML4H@NeurIPS 2021, 04 December 2021, Virtual Event. Volume 158 of Proceedings of Machine Learning Research, pages 156-167, PMLR, 2021. [doi]
@inproceedings{GopalHRNTR21,
title = {3KG: Contrastive Learning of 12-Lead Electrocardiograms using Physiologically-Inspired Augmentations},
author = {Bryan Gopal and Ryan W. Han and Gautham Raghupathi and Andrew Y. Ng and Geoffrey H. Tison and Pranav Rajpurkar},
year = {2021},
url = {https://proceedings.mlr.press/v158/gopal21a.html},
researchr = {https://researchr.org/publication/GopalHRNTR21},
cites = {0},
citedby = {0},
pages = {156-167},
booktitle = {Machine Learning for Health, ML4H@NeurIPS 2021, 04 December 2021, Virtual Event},
editor = {Subhrajit Roy and Stephen Pfohl and Emma Rocheteau and Girmaw Abebe Tadesse and Luis Oala and Fabian Falck and Yuyin Zhou and Liyue Shen and Ghada Zamzmi and Purity Mugambi and Ayah Zirikly and Matthew B. A. McDermott and Emily Alsentzer},
volume = {158},
series = {Proceedings of Machine Learning Research},
publisher = {PMLR},
}