1. Automatic prostate and prostate zones segmentation of magnetic resonance images using densenet-like u-net;Aldoj;Scientific Reports,2020
2. Benalcázar, M., Brun, M., and Ballarin, V. (2015). Automatic design of window operators for the segmentation of the prostate gland in magnetic resonance images. In A. Braidot and A. Hadad (eds.), VI Latin American Congress on Biomedical Engineering CLAIB 2014, Paramá, Argentina 29, 30 & 31 October 2014, 417–420. Springer International Publishing, Cham.
3. Cao, P., Noworolski, S.M., Starobinets, O., Korn, N., Kramer, S.P., Westphalen, A.C., Leynes, A.P., Pedoia, V., and Larson, P. (2020). Development of conditional random field insert for unet-based zonal prostate segmentation on t2-weighted mri.
4. Gelder, A. and Huisman, H. (2018). Autoencoders for multi-label prostate mr segmentation.
5. GLOBOCAN (2020). Estimated age-standardized incidence and mortality rates (world) in 2020, worldwide, males, all ages. URL https://gco.iarc.fr/.