APA (7th ed.) Citation

Le, J., Tian, Y., Mendes, J., Wilson, B., Ibrahim, M., DiBella, E., & Adluru, G. (2021). Deep learning for radial SMS myocardial perfusion reconstruction using the 3D residual booster U-net. Magnetic resonance imaging, 83, 178-188. https://doi.org/10.1016/j.mri.2021.08.007

Chicago Style (17th ed.) Citation

Le, Johnathan, Ye Tian, Jason Mendes, Brent Wilson, Mark Ibrahim, Edward DiBella, and Ganesh Adluru. "Deep Learning for Radial SMS Myocardial Perfusion Reconstruction Using the 3D Residual Booster U-net." Magnetic Resonance Imaging 83 (2021): 178-188. https://doi.org/10.1016/j.mri.2021.08.007.

MLA (9th ed.) Citation

Le, Johnathan, et al. "Deep Learning for Radial SMS Myocardial Perfusion Reconstruction Using the 3D Residual Booster U-net." Magnetic Resonance Imaging, vol. 83, 2021, pp. 178-188, https://doi.org/10.1016/j.mri.2021.08.007.