Lenfant, M.; Chevallier, O.; Comby, P.-O.; Secco, G.; Haioun, K.; Ricolfi, F.; Lemogne, B.; Loffroy, R.
Deep Learning Versus Iterative Reconstruction for CT Pulmonary Angiography in the Emergency Setting: Improved Image Quality and Reduced Radiation Dose. Diagnostics 2020, 10, 558.
https://doi.org/10.3390/diagnostics10080558
AMA Style
Lenfant M, Chevallier O, Comby P-O, Secco G, Haioun K, Ricolfi F, Lemogne B, Loffroy R.
Deep Learning Versus Iterative Reconstruction for CT Pulmonary Angiography in the Emergency Setting: Improved Image Quality and Reduced Radiation Dose. Diagnostics. 2020; 10(8):558.
https://doi.org/10.3390/diagnostics10080558
Chicago/Turabian Style
Lenfant, Marc, Olivier Chevallier, Pierre-Olivier Comby, Grégory Secco, Karim Haioun, Frédéric Ricolfi, Brivaël Lemogne, and Romaric Loffroy.
2020. "Deep Learning Versus Iterative Reconstruction for CT Pulmonary Angiography in the Emergency Setting: Improved Image Quality and Reduced Radiation Dose" Diagnostics 10, no. 8: 558.
https://doi.org/10.3390/diagnostics10080558
APA Style
Lenfant, M., Chevallier, O., Comby, P.-O., Secco, G., Haioun, K., Ricolfi, F., Lemogne, B., & Loffroy, R.
(2020). Deep Learning Versus Iterative Reconstruction for CT Pulmonary Angiography in the Emergency Setting: Improved Image Quality and Reduced Radiation Dose. Diagnostics, 10(8), 558.
https://doi.org/10.3390/diagnostics10080558