Cite
Artificial intelligence-based fully automated stress left ventricular ejection fraction as a prognostic marker in patients undergoing stress cardiovascular magnetic resonance.
MLA
Toupin, Solenn, et al. “Artificial Intelligence-Based Fully Automated Stress Left Ventricular Ejection Fraction as a Prognostic Marker in Patients Undergoing Stress Cardiovascular Magnetic Resonance.” European Heart Journal. Cardiovascular Imaging, vol. 25, no. 10, Sept. 2024, pp. 1338–48. EBSCOhost, https://doi.org/10.1093/ehjci/jeae168.
APA
Toupin, S., Pezel, T., Hovasse, T., Sanguineti, F., Champagne, S., Unterseeh, T., Duhamel, S., Chitiboi, T., Jacob, A. J., Borgohain, I., Sharma, P., Gonçalves, T., Martial, P.-J., Gall, E., Florence, J., Unger, A., Garot, P., & Garot, J. (2024). Artificial intelligence-based fully automated stress left ventricular ejection fraction as a prognostic marker in patients undergoing stress cardiovascular magnetic resonance. European Heart Journal. Cardiovascular Imaging, 25(10), 1338–1348. https://doi.org/10.1093/ehjci/jeae168
Chicago
Toupin, Solenn, Théo Pezel, Thomas Hovasse, Francesca Sanguineti, Stéphane Champagne, Thierry Unterseeh, Suzanne Duhamel, et al. 2024. “Artificial Intelligence-Based Fully Automated Stress Left Ventricular Ejection Fraction as a Prognostic Marker in Patients Undergoing Stress Cardiovascular Magnetic Resonance.” European Heart Journal. Cardiovascular Imaging 25 (10): 1338–48. doi:10.1093/ehjci/jeae168.