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Gloria Díaz
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2020 – today
- 2024
- [i1]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]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
- [j3]Henry Jhoán Areiza-Laverde
A Novel Method for Objective Selection of Information Sources Using Multi-Kernel SVM and Local Scaling. Sensors 20(14): 3919 (2020) - [c23]Kevin Osorno-Castillo, Rubén D. Fonnegra
Integration of Machine Learning Models in PACS Systems to Support Diagnostic in Radiology Services. WEA 2020: 233-244 - [c22]Diana Marcela Marín Castrillón
Characterizing ResNet Filters to Identify Positive and Negative Findings in Breast MRI Sequences. WEA 2020: 302-313
2010 – 2019
- 2019
- [c21]Diana Marcela Marín Castrillón
Multiple Kernel Learning Applied to the Prediction of Prostate Cancer Recurrence from MRI Radiomic Features. BIBE 2019: 984-988 - [c20]Henry Jhoán Areiza-Laverde
Breast Lesion Discrimination Using Saliency Features from MRI Sequences and MKL-Based Classification. CIARP 2019: 294-305 - 2018
- [c19]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]Rubén D. Fonnegra
Speech Emotion Recognition Integrating Paralinguistic Features and Auto-encoders in a Deep Learning Model. HCI (1) 2018: 385-396 - [c17]Rubén D. Fonnegra
Deep Learning Based Video Spatio-Temporal Modeling for Emotion Recognition. HCI (1) 2018: 397-408 - [c16]Andrés Felipe Ruiz Olaya, Gloria M. Díaz
A Real-Time Research Platform for Intent Pattern Recognition: Implementation, Validation and Application. IWBBIO (2) 2018: 106-117 - [c15]Henry Jhoán Areiza-Laverde
Feature Group Selection Using MKL Penalized with \ell _1 ℓ 1 -norm and SVM as Base Learner. WEA (1) 2018: 136-147 - [c14]Juan Sebastián Vargas Molano, Gloria Mercedes Díaz
Parametric Facial Animation for Affective Interaction Workflow for Avatar Retargeting. BRAINS/WS-AFFIN@AmI 2018: 73-88 - 2017
- [j2]Fabián Narváez
An automatic BI-RADS description of mammographic masses by fusing multiresolution features. Expert Syst. Appl. 74: 82-95 (2017) - [c13]Rubén D. Fonnegra
Speech Emotion Recognition Based on a Recurrent Neural Network Classification Model. ACE 2017: 882-892 - [c12]Fabián Narváez
Kushkalla: A Web-Based Platform to Improve Functional Movement Rehabilitation. CITI 2017: 194-208 - 2015
- [c11]Shavely S. Pusey, Jorge E. Camargo
Mobile Cloud Computing as an Alternative for Monitoring Child Mental Disorders. ICSH 2015: 31-42 - [c10]Angie K. Reyes, Jorge E. Camargo
Design of a Mobile Application to Support Non-pharmacological Therapies for People with Alzheimer Disease. ICSH 2015: 321-332 - 2014
- [c9]Gloria Díaz
Predicting Very Early Stage Mild Cognitive Impairment Based on a Voxel-wise Arterial Spin Labeling Analysis. CIARP 2014: 714-721 - 2012
- [c8]Fabián Narváez
A content-based retrieval of mammographic masses using the curvelet descriptor. Computer-Aided Diagnosis 2012: 83150A - 2011
- [c7]Fabián Narváez
Multi-view information fusion for automatic BI-RADS description of mammographic masses. Computer-Aided Diagnosis 2011: 79630A - 2010
- [c6]Gloria Díaz
The Effect of the Normalization Strategy on Voxel-Based Analysis of DTI Images: A Pattern Recognition Based Assessment. Brain Informatics 2010: 78-88 - [c5]Gloria Díaz
Histopathological Image Classification Using Stain Component Features on a pLSA Model. CIARP 2010: 55-62 - [c4]Fabián Narváez
Automatic BI-RADS Description of Mammographic Masses. Digital Mammography / IWDM 2010: 673-681
2000 – 2009
- 2009
- [j1]Gloria Díaz
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) - [c3]Gloria Díaz
Recognition and Quantification of Area Damaged by Oligonychus Perseae in Avocado Leaves. CIARP 2009: 677-684 - 2007
- [c2]Gloria Díaz, Fabio A. González, Eduardo Romero:
Automatic Clump Splitting for Cell Quantification in Microscopical Images. CIARP 2007: 763-772 - [c1]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
Coauthor Index
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last updated on 2024-11-28 21:26 CET by the dblp team
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