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.