Cite
Optimization of FFR prediction algorithm for gray zone by hemodynamic features with synthetic model and biometric data.
MLA
Lee, Hyeong Jun, et al. “Optimization of FFR Prediction Algorithm for Gray Zone by Hemodynamic Features with Synthetic Model and Biometric Data.” Computer Methods & Programs in Biomedicine, vol. 220, June 2022, p. N.PAG. EBSCOhost, https://doi.org/10.1016/j.cmpb.2022.106827.
APA
Lee, H. J., Kim, Y. W., Kim, J. H., Lee, Y.-J., Moon, J., Jeong, P., Jeong, J., Kim, J.-S., & Lee, J. S. (2022). Optimization of FFR prediction algorithm for gray zone by hemodynamic features with synthetic model and biometric data. Computer Methods & Programs in Biomedicine, 220, N.PAG. https://doi.org/10.1016/j.cmpb.2022.106827
Chicago
Lee, Hyeong Jun, Young Woo Kim, Jun Hong Kim, Yong-Joon Lee, Jinseok Moon, Peter Jeong, Joonhee Jeong, Jung-Sun Kim, and Joon Sang Lee. 2022. “Optimization of FFR Prediction Algorithm for Gray Zone by Hemodynamic Features with Synthetic Model and Biometric Data.” Computer Methods & Programs in Biomedicine 220 (June): N.PAG. doi:10.1016/j.cmpb.2022.106827.