APA (7th ed.) Citation

Moon, I., Lee, J., Lee, S., Jeong, D., Jeon, J., Jang, Y., . . . Chang, H. (2025). Artificial Intelligence-Enhanced Analysis of Echocardiography-Based Radiomic Features for Myocardial Hypertrophy Detection and Etiology Differentiation. Circulation. Cardiovascular imaging, 18(5), e017436. https://doi.org/10.1161/CIRCIMAGING.124.017436

Chicago Style (17th ed.) Citation

Moon, Inki, et al. "Artificial Intelligence-Enhanced Analysis of Echocardiography-Based Radiomic Features for Myocardial Hypertrophy Detection and Etiology Differentiation." Circulation. Cardiovascular Imaging 18, no. 5 (2025): e017436. https://doi.org/10.1161/CIRCIMAGING.124.017436.

MLA (9th ed.) Citation

Moon, Inki, et al. "Artificial Intelligence-Enhanced Analysis of Echocardiography-Based Radiomic Features for Myocardial Hypertrophy Detection and Etiology Differentiation." Circulation. Cardiovascular Imaging, vol. 18, no. 5, 2025, p. e017436, https://doi.org/10.1161/CIRCIMAGING.124.017436.