Pablo Guillén-Rondon

According to our database, Pablo Guillén-Rondon authored at least 7 papers between 2017 and 2026.

Collaborative distances:

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

2026

Benchmarking of closed vision-language models for Ki-67 index prediction in breast cancer histopathology images.

Harold Brayan Arteaga-Arteaga, Juan Andrés Giraldo-Arias, Mario Alejandro Bravo-Ortiz, Cristina Juarez-Landin, Pablo Guillén-Rondon, Reinel Tabares-Soto

Expert Syst. Appl., 2026

Deep learning approaches for predicting Ki-67 index in breast cancer histopathology images: A systematic review.

Harold Brayan Arteaga-Arteaga, Kenner Adolfo Oyola-Martinez, Rolando De la Cruz, Mario Alejandro Bravo-Ortiz, Pablo Guillén-Rondon, Reinel Tabares-Soto

Comput. Biol. Medicine, 2026

2021

Machine learning applications to predict two-phase flow patterns.

Harold Brayan Arteaga-Arteaga, Alejandro Mora-Rubio, Frank Florez, Nicolas Murcia-Orjuela, Cristhian Eduardo Diaz-Ortega, Simon Orozco-Arias, Melissa delaPava, Mario Alejandro Bravo-Ortiz, Melvin Deloyd Robinson, Pablo Guillén-Rondon, Reinel Tabares-Soto

PeerJ Comput. Sci., 2021

2020

Deep learning to classify single-cell RNA sequencing in primary glioblastoma.

Pablo Guillén-Rondon, Jerry Osagie Ebalunode, Melvin Deloyd Robinson

Proceedings of the EATIS 2020: 10th Euro American Conference on Telematics and Information Systems, 2020

2018

Support Vector Machine Application for Multiphase Flow Pattern Prediction.

Pablo Guillén-Rondon, Melvin Deloyd Robinson, Carlos Torres, Eduardo Pereya

CoRR, 2018

Breast Cancer Classification: A Deep Learning Approach for Digital Pathology.

Pablo Guillén-Rondon, Melvin Deloyd Robinson, Jerry Osagie Ebalunode

Proceedings of the High Performance Computing - 5th Latin American Conference, 2018

2017

Deep Learning as a Tool to Predict Flow Patterns in Two-Phase Flow.

Mohammadmehdi Ezzatabadipour, Parth Singh, Melvin Deloyd Robinson, Pablo Guillén-Rondon, Carlos Torres

CoRR, 2017