Bernard, A., Comby, P., Lemogne, B., Haioun, K., Ricolfi, F., Chevallier, O., & Loffroy, R. (2021). Deep learning reconstruction versus iterative reconstruction for cardiac CT angiography in a stroke imaging protocol: Reduced radiation dose and improved image quality. Quantitative imaging in medicine and surgery, 11(1), 392. https://doi.org/10.21037/qims-20-626
Chicago Style (17th ed.) CitationBernard, Angélique, Pierre-Olivier Comby, Brivaël Lemogne, Karim Haioun, Frédéric Ricolfi, Olivier Chevallier, and Romaric Loffroy. "Deep Learning Reconstruction Versus Iterative Reconstruction for Cardiac CT Angiography in a Stroke Imaging Protocol: Reduced Radiation Dose and Improved Image Quality." Quantitative Imaging in Medicine and Surgery 11, no. 1 (2021): 392. https://doi.org/10.21037/qims-20-626.
MLA (9th ed.) CitationBernard, Angélique, et al. "Deep Learning Reconstruction Versus Iterative Reconstruction for Cardiac CT Angiography in a Stroke Imaging Protocol: Reduced Radiation Dose and Improved Image Quality." Quantitative Imaging in Medicine and Surgery, vol. 11, no. 1, 2021, p. 392, https://doi.org/10.21037/qims-20-626.