COVID-19 detection in X-ray images using convolutional neural networks D Arias-Garzón, JA Alzate-Grisales, S Orozco-Arias, HB Arteaga-Arteaga, ... Machine Learning with Applications 6, 100138, 2021 | 88 | 2021 |
GBRAS-Net: a convolutional neural network architecture for spatial image steganalysis TS Reinel, AAH Brayan, BOM Alejandro, MR Alejandro, AG Daniel, ... IEEE Access 9, 14340-14350, 2021 | 83 | 2021 |
Optimized convolutional neural network models for skin lesion classification. JP Villa-Pulgarin, AA Ruales-Torres, D Arias-Garzon, MA Bravo-Ortiz, ... Computers, Materials & Continua 70 (2), 2022 | 29 | 2022 |
12 - Digital media steganalysis JAAG Reinel Tabares-Soto, Raúl Ramos-Pollán, Gustavo Isaza, Simon Orozco ... Digital Media Steganography, 259-293, 2020 | 25* | 2020 |
Strategy to improve the accuracy of convolutional neural network architectures applied to digital image steganalysis in the spatial domain R Tabares-Soto, HB Arteaga-Arteaga, A Mora-Rubio, MA Bravo-Ortíz, ... PeerJ Computer Science 7, e451, 2021 | 20 | 2021 |
Coffee maturity classification using convolutional neural networks and transfer learning MA Tamayo-Monsalve, E Mercado-Ruiz, JP Villa-Pulgarin, ... IEEE Access 10, 42971-42982, 2022 | 18 | 2022 |
Machine learning applications to predict two-phase flow patterns HB Arteaga-Arteaga, A Mora-Rubio, F Florez, N Murcia-Orjuela, ... PeerJ Computer Science 7, e798, 2021 | 18 | 2021 |
Sensitivity of deep learning applied to spatial image steganalysis R Tabares-Soto, HB Arteaga-Arteaga, A Mora-Rubio, MA Bravo-Ortíz, ... PeerJ Computer Science 7, e616, 2021 | 14 | 2021 |
Classification of Alzheimer’s disease stages from magnetic resonance images using deep learning A Mora-Rubio, MA Bravo-Ortíz, SQ Arredondo, JMS Torres, GA Ruz, ... PeerJ Computer Science 9, e1490, 2023 | 6 | 2023 |
Multi-subject identification of hand movements using machine learning A Mora-Rubio, JA Alzate-Grisales, D Arias-Garzón, JIP Buriticá, ... Sustainable Smart Cities and Territories, 117-128, 2022 | 5 | 2022 |
Identification of hand movements from electromyographic signals using Machine Learning AM Rubio, JAA Grisales, R Tabares-Soto, S Orozco-Arias, CFJ Varón, ... Preprints, 2020 | 4 | 2020 |
SAM-UNETR: Clinically Significant Prostate Cancer Segmentation Using Transfer Learning From Large Model JA Alzate-Grisales, A Mora-Rubio, F García-García, R Tabares-Soto, ... IEEE Access 11, 118217-118228, 2023 | 3 | 2023 |
Deep learning applied to COVID-19 detection in X-ray images HB Arteaga-Arteaga, A Mora-Rubio, MA Bravo-Ortíz, JA Alzate-Grisales, ... AI Applications for Disease Diagnosis and Treatment, 202-247, 2022 | 3 | 2022 |
Cov-caldas: A new COVID-19 chest X-Ray dataset from state of Caldas-Colombia JA Alzate-Grisales, A Mora-Rubio, HB Arteaga-Arteaga, MA Bravo-Ortiz, ... Scientific Data 9 (1), 757, 2022 | 2 | 2022 |
Using machine learning techniques to predict a list of prescription medications in the obstetrics and gynecology service AM Rubio, JAA Grisales, AYM Barrera, AR Delgado, ODA Ospina, ... 2022 IEEE Colombian Conference on Applications of Computational Intelligence …, 2022 | 1 | 2022 |
Machine learning approaches for covid-19 detection from chest x-ray imaging: a systematic review HB Arteaga-Arteaga, M delaPava, A Mora-Rubio, MA Bravo-Ortíz, ... arXiv preprint arXiv:2206.05615, 2022 | 1 | 2022 |
Deep Learning Based Classification and Segmentation for Cardiac Magnetic Resonance Imaging with Respiratory Motion Artifacts A Mora-Rubio, M Noga, K Punithakumar International Workshop on Statistical Atlases and Computational Models of …, 2022 | | 2022 |
Machine learning approaches for COVID-19 detection from chest X-ray imaging: A Systematic Review H Brayan Arteaga-Arteaga, M delaPava, A Mora-Rubio, MA Bravo-Ortíz, ... arXiv e-prints, arXiv: 2206.05615, 2022 | | 2022 |
Identificación de movimientos de la mano a partir de señales electromiográficas usando Machine Learning y Deep Learning JAA Grisales, AM Rubio, RT Soto, JIP Buriticá, SO Arias Investigaciones para Ingeniería Biomédica y Bioingeniería, 97, 2020 | | 2020 |