Vellini, L.; Zucca, S.; Lenkowicz, J.; Menna, S.; Catucci, F.; Quaranta, F.; Pilloni, E.; D'Aviero, A.; Aquilano, M.; Di Dio, C.;
et al. A Deep Learning Approach for the Fast Generation of Synthetic Computed Tomography from Low-Dose Cone Beam Computed Tomography Images on a Linear Accelerator Equipped with Artificial Intelligence. Appl. Sci. 2024, 14, 4844.
https://doi.org/10.3390/app14114844
AMA Style
Vellini L, Zucca S, Lenkowicz J, Menna S, Catucci F, Quaranta F, Pilloni E, D'Aviero A, Aquilano M, Di Dio C,
et al. A Deep Learning Approach for the Fast Generation of Synthetic Computed Tomography from Low-Dose Cone Beam Computed Tomography Images on a Linear Accelerator Equipped with Artificial Intelligence. Applied Sciences. 2024; 14(11):4844.
https://doi.org/10.3390/app14114844
Chicago/Turabian Style
Vellini, Luca, Sergio Zucca, Jacopo Lenkowicz, Sebastiano Menna, Francesco Catucci, Flaviovincenzo Quaranta, Elisa Pilloni, Andrea D'Aviero, Michele Aquilano, Carmela Di Dio,
and et al. 2024. "A Deep Learning Approach for the Fast Generation of Synthetic Computed Tomography from Low-Dose Cone Beam Computed Tomography Images on a Linear Accelerator Equipped with Artificial Intelligence" Applied Sciences 14, no. 11: 4844.
https://doi.org/10.3390/app14114844
APA Style
Vellini, L., Zucca, S., Lenkowicz, J., Menna, S., Catucci, F., Quaranta, F., Pilloni, E., D'Aviero, A., Aquilano, M., Di Dio, C., Iezzi, M., Re, A., Preziosi, F., Piras, A., Boschetti, A., Piccari, D., Mattiucci, G. C., & Cusumano, D.
(2024). A Deep Learning Approach for the Fast Generation of Synthetic Computed Tomography from Low-Dose Cone Beam Computed Tomography Images on a Linear Accelerator Equipped with Artificial Intelligence. Applied Sciences, 14(11), 4844.
https://doi.org/10.3390/app14114844
