Granulometry-Based Descriptor for Pathological Tissue Discrimination in Histopathological Images. - Ángel E. Esteban; Adrián Colomer; Valery Naranjo; María Á. Sales (ICIP, 2018)

Identification of Individual Glandular Regions Using LCWT and Machine Learning Techniques. - José Gabriel García; Adrián Colomer; Valery Naranjo; Francisco Peñaranda; María Á. Sales (IDEAL (1), 2018)

Classifying Prostate Histological Images Using Deep Gaussian Processes on a New Optical Density Granulometry-Based Descriptor. - Miguel López-Pérez; Adrián Colomer; María Á. Sales; Rafael Molina 001; Valery Naranjo (IDEAL (1), 2019)

A new optical density granulometry-based descriptor for the classification of prostate histological images using shallow and deep Gaussian processes. - Ángel E. Esteban; Miguel López-Pérez; Adrián Colomer; María Á. Sales; Rafael Molina 001; Valery Naranjo (Comput. Methods Programs Biomed., 2019)

Going deeper through the Gleason scoring scale: An automatic end-to-end system for histology prostate grading and cribriform pattern detection. - Julio Silva-Rodríguez; Adrián Colomer; María Á. Sales; Rafael Molina 001; Valery Naranjo (Comput. Methods Programs Biomed., 2020)

Blind color deconvolution, normalization, and classification of histological images using general super Gaussian priors and Bayesian inference. - Fernando Pérez-Bueno; Miguel Vega; María Á. Sales; José Aneiros-Fernández; Valery Naranjo; Rafael Molina 001; Aggelos K. Katsaggelos (Comput. Methods Programs Biomed., 2021)

Proportion constrained weakly supervised histopathology image classification. - Julio Silva-Rodríguez; Arne Schmidt 005; María Á. Sales; Rafael Molina 001; Valery Naranjo (Comput. Biol. Medicine, 2022)

Towards the On-Demand Whole Slide Image Generation: Prostate Patch Synthesis Through a Conditional Progressive Growing GAN. - Alejandro Golfe; Rocío del Amor; Adrián Colomer; María Á. Sales; Liria Terradez; Valery Naranjo (EUSIPCO, 2023)

ProGleason-GAN: Conditional progressive growing GAN for prostatic cancer Gleason grade patch synthesis. - Alejandro Golfe; Rocío del Amor; Adrián Colomer; María Á. Sales; Liria Terradez; Valery Naranjo (Comput. Methods Programs Biomed., 2023)