José Francisco Portillo-Robledo

According to our database, José Francisco Portillo-Robledo authored at least 9 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2025

Statistical Asymmetrical Histogram Stretching for Contrast Enhancement in Chest X-ray Images for Pneumonia Detection.

Rafael Alejandro Cruz Ovando, Salvador Eugenio Ayala-Raggi, Angel Ernesto Picazo-Castillo, Aldrin Barreto-Flores, José Francisco Portillo-Robledo

Computación y Sistemas (CyS), 2025

2024

Comparative Study of Lung Image Representations for Automated Pneumonia Recognition.

Angel Ernesto Picazo-Castillo, Salvador Eugenio Ayala-Raggi, Leopoldo Altamirano Robles, Aldrin Barreto-Flores, José Francisco Portillo-Robledo

Int. J. Comb. Optim. Probl. Informatics, 2024

2023

Integrating Radiograph Normalization Preprocessing and Discriminative Feature Selection for Efficient and Automated Pneumonia Detection.

Salvador Eugenio Ayala-Raggi, Angel Ernesto Picazo-Castillo, Aldrin Barreto-Flores, José Francisco Portillo-Robledo

Res. Comput. Sci., 2023

Normalización de radiografías de tórax para la detección de neumonía mediante algoritmos tradicionales de aprendizaje de máquina.

Salvador Eugenio Ayala-Raggi, Angel Ernesto Picazo-Castillo, Aldrin Barreto-Flores, José Francisco Portillo-Robledo

Res. Comput. Sci., 2023

Synergizing Chest X-ray Image Normalization and Discriminative Feature Selection for Efficient and Automatic COVID-19 Recognition.

Salvador Eugenio Ayala-Raggi, Angel Ernesto Picazo-Castillo, Aldrin Barreto-Flores, José Francisco Portillo-Robledo

Proceedings of the Pattern Recognition - 7th Asian Conference, 2023

2022

Design of E. coli Growth Simulator Using Multi-agent System.

Salvador Eugenio Ayala-Raggi, Luís Efraín López-García, Jesús Manuel Roa-Escalante, Lourdes Gabriela Soid-Raggi, Aldrin Barreto-Flores, José Francisco Portillo-Robledo

Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2022, 2022

2018

A Supervised Incremental Learning Technique for Automatic Recognition of the Skeletal Maturity, or can a Machine Learn to Assess Bone Age Without Radiological Training from Experts?

Salvador Eugenio Ayala-Raggi, Fernando Montoya Manzano, Aldrin Barreto-Flores, Susana Sánchez-Urrieta, José Francisco Portillo-Robledo, Verónica Edith Bautista-López, Patricia Ayala-Raggi

Int. J. Pattern Recognit. Artif. Intell., 2018

2017

Towards an Automatic Estimation of Skeletal Age Using k-NN Regression with a Reduced Set of Tinny Aligned Regions of Interest.

José Luis Tonatiúh Banda-Escobar, Salvador Eugenio Ayala-Raggi, Aldrin Barreto-Flores, Susana Sánchez-Urrieta, José Francisco Portillo-Robledo, Alinne Michelle Sánchez-Tomay, Verónica Edith Bautista-López

Proceedings of the Advances in Computational Intelligence, 2017

2016

Towards a Supervised Incremental Learning System for Automatic Recognition of the Skeletal Age.

Fernando Montoya Manzano, Salvador Eugenio Ayala-Raggi, Susana Sánchez-Urrieta, Aldrin Barreto-Flores, José Francisco Portillo-Robledo, Verónica Edith Bautista-López

Proceedings of the Pattern Recognition - 8th Mexican Conference, 2016