APA (7th ed.) Citation

Eisenberg, E., McElhinney, P. A., Commandeur, F., Chen, X., Cadet, S., Goeller, M., . . . Dey, D. (2020). Deep Learning–Based Quantification of Epicardial Adipose Tissue Volume and Attenuation Predicts Major Adverse Cardiovascular Events in Asymptomatic Subjects. Circulation. Cardiovascular imaging, 13(2), e009829. https://doi.org/10.1161/CIRCIMAGING.119.009829

Chicago Style (17th ed.) Citation

Eisenberg, Evann, et al. "Deep Learning–Based Quantification of Epicardial Adipose Tissue Volume and Attenuation Predicts Major Adverse Cardiovascular Events in Asymptomatic Subjects." Circulation. Cardiovascular Imaging 13, no. 2 (2020): e009829. https://doi.org/10.1161/CIRCIMAGING.119.009829.

MLA (9th ed.) Citation

Eisenberg, Evann, et al. "Deep Learning–Based Quantification of Epicardial Adipose Tissue Volume and Attenuation Predicts Major Adverse Cardiovascular Events in Asymptomatic Subjects." Circulation. Cardiovascular Imaging, vol. 13, no. 2, 2020, p. e009829, https://doi.org/10.1161/CIRCIMAGING.119.009829.