APA (7th ed.) Citation

Sengupta, P. P., Shrestha, S., Kagiyama, N., Hamirani, Y., Kulkarni, H., Yanamala, N., . . . Cavalcante, J. L. (2021). A Machine-Learning Framework to Identify Distinct Phenotypes of Aortic Stenosis Severity. JACC. Cardiovascular imaging, 14(9), 1707-1720. https://doi.org/10.1016/j.jcmg.2021.03.020

Chicago Style (17th ed.) Citation

Sengupta, Partho P., et al. "A Machine-Learning Framework to Identify Distinct Phenotypes of Aortic Stenosis Severity." JACC. Cardiovascular Imaging 14, no. 9 (2021): 1707-1720. https://doi.org/10.1016/j.jcmg.2021.03.020.

MLA (9th ed.) Citation

Sengupta, Partho P., et al. "A Machine-Learning Framework to Identify Distinct Phenotypes of Aortic Stenosis Severity." JACC. Cardiovascular Imaging, vol. 14, no. 9, 2021, pp. 1707-1720, https://doi.org/10.1016/j.jcmg.2021.03.020.