Minimum imaging dose for deep learning-based pelvic synthetic computed tomography generation from cone beam images

MLA

Yan Chi Ivy Chan, et al. “Minimum Imaging Dose for Deep Learning-Based Pelvic Synthetic Computed Tomography Generation from Cone Beam Images.” Physics and Imaging in Radiation Oncology, vol. 30, no. 100569-, Apr. 2024. EBSCOhost, https://doi.org/10.1016/j.phro.2024.100569.

APA

Yan Chi Ivy Chan, Minglun Li, Adrian Thummerer, Katia Parodi, Claus Belka, Christopher Kurz, & Guillaume Landry. (2024). Minimum imaging dose for deep learning-based pelvic synthetic computed tomography generation from cone beam images. Physics and Imaging in Radiation Oncology, 30(100569-). https://doi.org/10.1016/j.phro.2024.100569

Chicago

Yan Chi Ivy Chan, Minglun Li, Adrian Thummerer, Katia Parodi, Claus Belka, Christopher Kurz, and Guillaume Landry. 2024. “Minimum Imaging Dose for Deep Learning-Based Pelvic Synthetic Computed Tomography Generation from Cone Beam Images.” Physics and Imaging in Radiation Oncology 30 (100569-). doi:10.1016/j.phro.2024.100569.