APA (7th ed.) Citation

Sadeghpour, A., Jiang, Z., Hummel, Y. M., Frost, M., Lam, C. S., Shah, S. J., . . . Asch, F. M. (2025). An Automated Machine Learning–Based Quantitative Multiparametric Approach for Mitral Regurgitation Severity Grading. JACC. Cardiovascular imaging, 18(1), 1-12. https://doi.org/10.1016/j.jcmg.2024.06.011

Chicago Style (17th ed.) Citation

Sadeghpour, Anita, et al. "An Automated Machine Learning–Based Quantitative Multiparametric Approach for Mitral Regurgitation Severity Grading." JACC. Cardiovascular Imaging 18, no. 1 (2025): 1-12. https://doi.org/10.1016/j.jcmg.2024.06.011.

MLA (9th ed.) Citation

Sadeghpour, Anita, et al. "An Automated Machine Learning–Based Quantitative Multiparametric Approach for Mitral Regurgitation Severity Grading." JACC. Cardiovascular Imaging, vol. 18, no. 1, 2025, pp. 1-12, https://doi.org/10.1016/j.jcmg.2024.06.011.