Speech Emotion Recognition Based on a Recurrent Neural Network Classification Model. - Rubén D. Fonnegra; Gloria M. Díaz (ACE, 2017)

Speech Emotion Recognition Integrating Paralinguistic Features and Auto-encoders in a Deep Learning Model. - Rubén D. Fonnegra; Gloria M. Díaz (HCI (1), 2018)

Deep Learning Based Video Spatio-Temporal Modeling for Emotion Recognition. - Rubén D. Fonnegra; Gloria M. Díaz (HCI (1), 2018)

Integration of Machine Learning Models in PACS Systems to Support Diagnostic in Radiology Services. - Kevin Osorno-Castillo; Rubén D. Fonnegra; Gloria M. Díaz (WEA, 2020)

Early-to-Late Prediction of DCE-MRI Contrast-Enhanced Images in Using Generative Adversarial Networks. - Rubén D. Fonnegra; Liliana M. Hernández; Juan C. Caicedo; Gloria M. Díaz (ISBI, 2023)

A Time-Intensity Aware Pipeline for Generating Late-Stage Breast DCE-MRI using Generative Adversarial Models. - Rubén D. Fonnegra; Liliana M. Hernández; Juan C. Caicedo; Gloria M. Díaz (CoRR, 2024)

Synthesizing late-stage contrast enhancement in breast MRI: A comprehensive pipeline leveraging temporal contrast enhancement dynamics. - Rubén D. Fonnegra; Maria Liliana Hernández; Juan C. Caicedo; Gloria M. Díaz (Comput. Biol. Medicine, 2025)