Automatic Clump Splitting for Cell Quantification in Microscopical Images. - Gloria Díaz; Fabio A. González 001; Eduardo Romero 001 (CIARP, 2007)

Infected Cell Identification in Thin Blood Images Based on Color Pixel Classification: Comparison and Analysis. - Gloria Díaz; Fabio A. González 001; Eduardo Romero 001 (CIARP, 2007)

Recognition and Quantification of Area Damaged by Oligonychus Perseae in Avocado Leaves. - Gloria Díaz; Eduardo Romero 001; Juan R. Boyero; Norberto Malpica (CIARP, 2009)

A semi-automatic method for quantification and classification of erythrocytes infected with malaria parasites in microscopic images. - Gloria Díaz; Fabio A. González 001; Eduardo Romero 001 (J. Biomed. Informatics, 2009)

The Effect of the Normalization Strategy on Voxel-Based Analysis of DTI Images: A Pattern Recognition Based Assessment. - Gloria Díaz; Gonzalo Pajares; Eduardo Romero 001; Juan Alvarez-Linera; Eva López; Juan Antonio Hernández Tamames; Norberto Malpica (Brain Informatics, 2010)

Histopathological Image Classification Using Stain Component Features on a pLSA Model. - Gloria Díaz; Eduardo Romero 001 (CIARP, 2010)

Automatic BI-RADS Description of Mammographic Masses. - Fabián R. Narváez; Gloria Díaz; Eduardo Romero 001 (Digital Mammography / IWDM, 2010)

Multi-view information fusion for automatic BI-RADS description of mammographic masses. - Fabián R. Narváez; Gloria Díaz; Eduardo Romero 001 (Computer-Aided Diagnosis, 2011)

A content-based retrieval of mammographic masses using the curvelet descriptor. - Fabián R. Narváez; Gloria Díaz; Francisco Gómez 002; Eduardo Romero 001 (Computer-Aided Diagnosis, 2012)

Predicting Very Early Stage Mild Cognitive Impairment Based on a Voxel-wise Arterial Spin Labeling Analysis. - Gloria Díaz; Pablo García-Polo; Virginia Mato; Eva Alfayate; Juan Antonio Hernández Tamames; Norberto Malpica (CIARP, 2014)

Mobile Cloud Computing as an Alternative for Monitoring Child Mental Disorders. - Shavely S. Pusey; Jorge E. Camargo; Gloria M. Díaz (ICSH, 2015)

Design of a Mobile Application to Support Non-pharmacological Therapies for People with Alzheimer Disease. - Angie K. Reyes; Jorge E. Camargo; Gloria M. Díaz (ICSH, 2015)

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

Kushkalla: A Web-Based Platform to Improve Functional Movement Rehabilitation. - Fabián R. Narváez; Fernando Arbito; Carlos Luna 003; Christian Merchán; María C. Cuenca; Gloria M. Díaz (CITI, 2017)

An automatic BI-RADS description of mammographic masses by fusing multiresolution features. - Fabián R. Narváez; Gloria Díaz; Cesar Poveda; Eduardo Romero 001 (Expert Syst. Appl., 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)

Deep Convolutional Neural Networks and Power Spectral Density Features for Motor Imagery Classification of EEG Signals. - A. F. Pérez-Zapata; Andrés Felipe Cardona-Escobar; Jorge Alberto Jaramillo-Garzón; Gloria M. Díaz (HCI (15), 2018)

A Real-Time Research Platform for Intent Pattern Recognition: Implementation, Validation and Application. - Andrés Felipe Ruiz Olaya; Gloria M. Díaz; Alberto López Delis (IWBBIO (2), 2018)

Feature Group Selection Using MKL Penalized with ell _1 ℓ 1 -norm and SVM as Base Learner. - Henry Jhoán Areiza-Laverde; Gloria M. Díaz; Andrés Eduardo Castro-Ospina (WEA (1), 2018)

Parametric Facial Animation for Affective Interaction Workflow for Avatar Retargeting. - Juan Sebastián Vargas Molano; Gloria Mercedes Díaz; Wilson J. Sarmiento (BRAINS/WS-AFFIN@AmI, 2018)

Multiple Kernel Learning Applied to the Prediction of Prostate Cancer Recurrence from MRI Radiomic Features. - Diana Marcela Marín Castrillón; Pierre Fontaine; Khemara Gnep; Renaud de Crevoisier; Gloria Díaz; Oscar Acosta (BIBE, 2019)

Breast Lesion Discrimination Using Saliency Features from MRI Sequences and MKL-Based Classification. - Henry Jhoán Areiza-Laverde; Carlos Andrés Duarte-Salazar; Liliana Hernández; Andrés Eduardo Castro-Ospina; Gloria M. Díaz (CIARP, 2019)

Characterizing ResNet Filters to Identify Positive and Negative Findings in Breast MRI Sequences. - Diana Marcela Marín Castrillón; Kevin Osorno-Castillo; Liliana M. Hernández; Andrés E. Castro-Ospina; Gloria M. Díaz (WEA, 2020)

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)

A Novel Method for Objective Selection of Information Sources Using Multi-Kernel SVM and Local Scaling. - Henry Jhoán Areiza-Laverde; Andrés Eduardo Castro-Ospina; Liliana Hernández; Gloria M. Díaz (Sensors, 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)