María Á. Sales

According to our database, María Á. Sales authored at least 9 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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., October, 2023

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

Proceedings of the 31st European Signal Processing Conference, 2023

2022

Proportion constrained weakly supervised histopathology image classification.

Julio Silva-Rodríguez, Arne Schmidt, María Á. Sales, Rafael Molina, Valery Naranjo

Comput. Biol. Medicine, 2022

2021

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, Aggelos K. Katsaggelos

Comput. Methods Programs Biomed., 2021

2020

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, Valery Naranjo

Comput. Methods Programs Biomed., 2020

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, Valery Naranjo

Comput. Methods Programs Biomed., 2019

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, Valery Naranjo

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019

2018

Identification of Individual Glandular Regions Using LCWT and Machine Learning Techniques.

José Gabriel García, Adrián Colomer, Valery Naranjo, Francisco Peñaranda, María Á. Sales

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018

Granulometry-Based Descriptor for Pathological Tissue Discrimination in Histopathological Images.

Ángel E. Esteban, Adrián Colomer, Valery Naranjo, María Á. Sales

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018