Xu, I.R.L.; Van Booven, D.J.; Goberdhan, S.; Breto, A.; Porto, J.; Alhusseini, M.; Algohary, A.; Stoyanova, R.; Punnen, S.; Mahne, A.;
et al. Generative Adversarial Networks Can Create High Quality Artificial Prostate Cancer Magnetic Resonance Images. J. Pers. Med. 2023, 13, 547.
https://doi.org/10.3390/jpm13030547
AMA Style
Xu IRL, Van Booven DJ, Goberdhan S, Breto A, Porto J, Alhusseini M, Algohary A, Stoyanova R, Punnen S, Mahne A,
et al. Generative Adversarial Networks Can Create High Quality Artificial Prostate Cancer Magnetic Resonance Images. Journal of Personalized Medicine. 2023; 13(3):547.
https://doi.org/10.3390/jpm13030547
Chicago/Turabian Style
Xu, Isaac R. L., Derek J. Van Booven, Sankalp Goberdhan, Adrian Breto, Joao Porto, Mohammad Alhusseini, Ahmad Algohary, Radka Stoyanova, Sanoj Punnen, Anton Mahne,
and et al. 2023. "Generative Adversarial Networks Can Create High Quality Artificial Prostate Cancer Magnetic Resonance Images" Journal of Personalized Medicine 13, no. 3: 547.
https://doi.org/10.3390/jpm13030547
APA Style
Xu, I. R. L., Van Booven, D. J., Goberdhan, S., Breto, A., Porto, J., Alhusseini, M., Algohary, A., Stoyanova, R., Punnen, S., Mahne, A., & Arora, H.
(2023). Generative Adversarial Networks Can Create High Quality Artificial Prostate Cancer Magnetic Resonance Images. Journal of Personalized Medicine, 13(3), 547.
https://doi.org/10.3390/jpm13030547
