A, I., M, H., T, K., JL, C., JR, L., MD, M., . . . VY, C. (2025). Artificial intelligence quantification and experienced reader computed tomography analysis for differentiating normal from minimally and mildly diseased coronary arteries: An early real-world compatibility study. The international journal of cardiovascular imaging, 41(5), 889. https://doi.org/10.1007/s10554-025-03366-1
Chicago Style (17th ed.) CitationA, Idris, et al. "Artificial Intelligence Quantification and Experienced Reader Computed Tomography Analysis for Differentiating Normal from Minimally and Mildly Diseased Coronary Arteries: An Early Real-world Compatibility Study." The International Journal of Cardiovascular Imaging 41, no. 5 (2025): 889. https://doi.org/10.1007/s10554-025-03366-1.
MLA (9th ed.) CitationA, Idris, et al. "Artificial Intelligence Quantification and Experienced Reader Computed Tomography Analysis for Differentiating Normal from Minimally and Mildly Diseased Coronary Arteries: An Early Real-world Compatibility Study." The International Journal of Cardiovascular Imaging, vol. 41, no. 5, 2025, p. 889, https://doi.org/10.1007/s10554-025-03366-1.
