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Gloria Díaz

Gloria M. Díaz – Gloria Mercedes Díaz

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2020 – today

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2024
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Rubén D. Fonnegra, Liliana M. Hernández, Juan C. Caicedo, Gloria M. Díaz:
A Time-Intensity Aware Pipeline for Generating Late-Stage Breast DCE-MRI using Generative Adversarial Models. CoRR abs/2409.01596 (2024)
2023
[c24]
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Rubén D. Fonnegra, Liliana M. Hernández, Juan C. Caicedo, Gloria M. Díaz:
Early-to-Late Prediction of DCE-MRI Contrast-Enhanced Images in Using Generative Adversarial Networks. ISBI 2023: 1-5
2020
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Henry Jhoán Areiza-Laverde, Andrés Eduardo Castro-Ospina, Liliana Hernández, Gloria M. Díaz:
A Novel Method for Objective Selection of Information Sources Using Multi-Kernel SVM and Local Scaling. Sensors 20(14): 3919 (2020)
[c23]
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Kevin Osorno-Castillo, Rubén D. Fonnegra, Gloria M. Díaz:
Integration of Machine Learning Models in PACS Systems to Support Diagnostic in Radiology Services. WEA 2020: 233-244
[c22]
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Diana Marcela Marín Castrillón, Kevin Osorno-Castillo, Liliana M. Hernández, Andrés E. Castro-Ospina, Gloria M. Díaz:
Characterizing ResNet Filters to Identify Positive and Negative Findings in Breast MRI Sequences. WEA 2020: 302-313

2010 – 2019

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2019
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Diana Marcela Marín Castrillón, Pierre Fontaine, Khemara Gnep, Renaud de Crevoisier, Gloria Díaz, Oscar Acosta:
Multiple Kernel Learning Applied to the Prediction of Prostate Cancer Recurrence from MRI Radiomic Features. BIBE 2019: 984-988
[c20]
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Henry Jhoán Areiza-Laverde, Carlos Andrés Duarte-Salazar, Liliana Hernández, Andrés Eduardo Castro-Ospina, Gloria M. Díaz:
Breast Lesion Discrimination Using Saliency Features from MRI Sequences and MKL-Based Classification. CIARP 2019: 294-305
2018
[c19]
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A. F. Pérez-Zapata, Andrés Felipe Cardona-Escobar, Jorge Alberto Jaramillo-Garzón, Gloria M. Díaz:
Deep Convolutional Neural Networks and Power Spectral Density Features for Motor Imagery Classification of EEG Signals. HCI (15) 2018: 158-169
[c18]
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Rubén D. Fonnegra, Gloria M. Díaz:
Speech Emotion Recognition Integrating Paralinguistic Features and Auto-encoders in a Deep Learning Model. HCI (1) 2018: 385-396
[c17]
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Rubén D. Fonnegra, Gloria M. Díaz:
Deep Learning Based Video Spatio-Temporal Modeling for Emotion Recognition. HCI (1) 2018: 397-408
[c16]
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Andrés Felipe Ruiz Olaya, Gloria M. Díaz, Alberto López Delis:
A Real-Time Research Platform for Intent Pattern Recognition: Implementation, Validation and Application. IWBBIO (2) 2018: 106-117
[c15]
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Henry Jhoán Areiza-Laverde, Gloria M. Díaz, Andrés Eduardo Castro-Ospina:
Feature Group Selection Using MKL Penalized with \ell _1 ℓ 1 -norm and SVM as Base Learner. WEA (1) 2018: 136-147
[c14]
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Juan Sebastián Vargas Molano, Gloria Mercedes Díaz, Wilson J. Sarmiento:
Parametric Facial Animation for Affective Interaction Workflow for Avatar Retargeting. BRAINS/WS-AFFIN@AmI 2018: 73-88
2017
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Fabián Narváez, Gloria Díaz, Cesar Poveda, Eduardo Romero:
An automatic BI-RADS description of mammographic masses by fusing multiresolution features. Expert Syst. Appl. 74: 82-95 (2017)
[c13]
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Rubén D. Fonnegra, Gloria M. Díaz:
Speech Emotion Recognition Based on a Recurrent Neural Network Classification Model. ACE 2017: 882-892
[c12]
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Fabián Narváez, Fernando Arbito, Carlos Luna, Christian Merchán, María C. Cuenca, Gloria M. Díaz:
Kushkalla: A Web-Based Platform to Improve Functional Movement Rehabilitation. CITI 2017: 194-208
2015
[c11]
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Shavely S. Pusey, Jorge E. Camargo, Gloria M. Díaz:
Mobile Cloud Computing as an Alternative for Monitoring Child Mental Disorders. ICSH 2015: 31-42
[c10]
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Angie K. Reyes, Jorge E. Camargo, Gloria M. Díaz:
Design of a Mobile Application to Support Non-pharmacological Therapies for People with Alzheimer Disease. ICSH 2015: 321-332
2014
[c9]
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Gloria Díaz, Pablo García-Polo, Virginia Mato, Eva Alfayate, Juan Antonio Hernández Tamames, Norberto Malpica:
Predicting Very Early Stage Mild Cognitive Impairment Based on a Voxel-wise Arterial Spin Labeling Analysis. CIARP 2014: 714-721
2012
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Fabián Narváez, Gloria Díaz, Francisco Gómez, Eduardo Romero:
A content-based retrieval of mammographic masses using the curvelet descriptor. Medical Imaging: Computer-Aided Diagnosis 2012: 83150A
2011
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Fabián Narváez, Gloria Díaz, Eduardo Romero:
Multi-view information fusion for automatic BI-RADS description of mammographic masses. Medical Imaging: Computer-Aided Diagnosis 2011: 79630A
2010
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Gloria Díaz, Gonzalo Pajares, Eduardo Romero, Juan Alvarez-Linera, Eva López, Juan Antonio Hernández Tamames, Norberto Malpica:
The Effect of the Normalization Strategy on Voxel-Based Analysis of DTI Images: A Pattern Recognition Based Assessment. Brain Informatics 2010: 78-88
[c5]
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Gloria Díaz, Eduardo Romero:
Histopathological Image Classification Using Stain Component Features on a pLSA Model. CIARP 2010: 55-62
[c4]
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Fabián Narváez, Gloria Díaz, Eduardo Romero:
Automatic BI-RADS Description of Mammographic Masses. Digital Mammography / IWDM 2010: 673-681

2000 – 2009

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2009
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Gloria Díaz, Fabio A. González, Eduardo Romero:
A semi-automatic method for quantification and classification of erythrocytes infected with malaria parasites in microscopic images. J. Biomed. Informatics 42(2): 296-307 (2009)
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Gloria Díaz, Eduardo Romero, Juan R. Boyero, Norberto Malpica:
Recognition and Quantification of Area Damaged by Oligonychus Perseae in Avocado Leaves. CIARP 2009: 677-684
2007
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Gloria Díaz, Fabio A. González, Eduardo Romero:
Automatic Clump Splitting for Cell Quantification in Microscopical Images. CIARP 2007: 763-772
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Gloria Díaz, Fabio A. González, Eduardo Romero:
Infected Cell Identification in Thin Blood Images Based on Color Pixel Classification: Comparison and Analysis. CIARP 2007: 812-821

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