Vera-Olmos, J.; Torrado-Carvajal, A.; Prieto-de-la-Lastra, C.; Catalano, O.A.; Rozenholc, Y.; Mazzeo, F.; Soricelli, A.; Salvatore, M.; Izquierdo-Garcia, D.; Malpica, N.
How to Pseudo-CT: A Comparative Review of Deep Convolutional Neural Network Architectures for CT Synthesis. Appl. Sci. 2022, 12, 11600.
https://doi.org/10.3390/app122211600
AMA Style
Vera-Olmos J, Torrado-Carvajal A, Prieto-de-la-Lastra C, Catalano OA, Rozenholc Y, Mazzeo F, Soricelli A, Salvatore M, Izquierdo-Garcia D, Malpica N.
How to Pseudo-CT: A Comparative Review of Deep Convolutional Neural Network Architectures for CT Synthesis. Applied Sciences. 2022; 12(22):11600.
https://doi.org/10.3390/app122211600
Chicago/Turabian Style
Vera-Olmos, Javier, Angel Torrado-Carvajal, Carmen Prieto-de-la-Lastra, Onofrio A. Catalano, Yves Rozenholc, Filomena Mazzeo, Andrea Soricelli, Marco Salvatore, David Izquierdo-Garcia, and Norberto Malpica.
2022. "How to Pseudo-CT: A Comparative Review of Deep Convolutional Neural Network Architectures for CT Synthesis" Applied Sciences 12, no. 22: 11600.
https://doi.org/10.3390/app122211600
APA Style
Vera-Olmos, J., Torrado-Carvajal, A., Prieto-de-la-Lastra, C., Catalano, O. A., Rozenholc, Y., Mazzeo, F., Soricelli, A., Salvatore, M., Izquierdo-Garcia, D., & Malpica, N.
(2022). How to Pseudo-CT: A Comparative Review of Deep Convolutional Neural Network Architectures for CT Synthesis. Applied Sciences, 12(22), 11600.
https://doi.org/10.3390/app122211600