Multi-subject Identification of Hand Movements Using Machine Learning. - Alejandro Mora-Rubio; Jesús Alejandro Alzate-Grisales; Daniel Arias-Garzón; Jorge Ivan Padilla-Buriticá; Cristian Felipe Jiménez-Varón; Mario Alejandro Bravo-Ortiz; Harold Brayan Arteaga-Arteaga; Mahmoud Hassaballah; Simon Orozco-Arias; Gustavo A. Isaza; Reinel Tabares-Soto (SSCT, 2021)

GBRAS-Net: A Convolutional Neural Network Architecture for Spatial Image Steganalysis. - Reinel Tabares-Soto; Harold Brayan Arteaga-Arteaga; Mario Alejandro Bravo-Ortiz; Alejandro Mora-Rubio; Daniel Arias-Garzón; Jesús Alejandro Alzate-Grisales; Alejandro Buenaventura Burbano-Jacome; Simon Orozco-Arias; Gustavo A. Isaza; Raúl Ramos-Pollán (IEEE Access, 2021)

Machine learning applications to predict two-phase flow patterns. - Harold Brayan Arteaga-Arteaga; Alejandro Mora-Rubio; Frank Florez; Nicolas Murcia-Orjuela; Cristhian Eduardo Diaz-Ortega; Simon Orozco-Arias; Melissa delaPava; Mario Alejandro Bravo-Ortiz; Melvin Deloyd Robinson; Pablo Guillén-Rondon; Reinel Tabares-Soto (PeerJ Comput. Sci., 2021)

Strategy to improve the accuracy of convolutional neural network architectures applied to digital image steganalysis in the spatial domain. - Reinel Tabares-Soto; Harold Brayan Arteaga-Arteaga; Alejandro Mora-Rubio; Mario Alejandro Bravo-Ortiz; Daniel Arias-Garzón; Jesús Alejandro Alzate-Grisales; Alejandro Buenaventura Burbano-Jacome; Simon Orozco-Arias; Gustavo A. Isaza; Raúl Ramos-Pollán (PeerJ Comput. Sci., 2021)

Sensitivity of deep learning applied to spatial image steganalysis. - Reinel Tabares-Soto; Harold Brayan Arteaga-Arteaga; Alejandro Mora-Rubio; Mario Alejandro Bravo-Ortiz; Daniel Arias-Garzón; Jesús Alejandro Alzate-Grisales; Simon Orozco-Arias; Gustavo A. Isaza; Raúl Ramos-Pollán (PeerJ Comput. Sci., 2021)

Deep Learning Based Classification and Segmentation for Cardiac Magnetic Resonance Imaging with Respiratory Motion Artifacts. - Alejandro Mora-Rubio; Michelle Noga; Kumaradevan Punithakumar (STACOM@MICCAI, 2022)

Coffee Maturity Classification Using Convolutional Neural Networks and Transfer Learning. - Manuel Alejandro Tamayo Monsalve; Esteban Mercado Ruiz; Juan Pablo Villa Pulgarin; Mario Alejandro Bravo-Ortiz; Harold Brayan Arteaga-Arteaga; Alejandro Mora-Rubio; Jesús Alejandro Alzate-Grisales; Daniel Arias-Garzón; Victor Romero-Cano; Simon Orozco-Arias; Gustavo Osorio; Reinel Tabares-Soto (IEEE Access, 2022)

Machine learning approaches for COVID-19 detection from chest X-ray imaging: A Systematic Review. - Harold Brayan Arteaga-Arteaga; Melissa delaPava; Alejandro Mora-Rubio; Mario Alejandro Bravo-Ortiz; Jesús Alejandro Alzate-Grisales; Daniel Arias-Garzón; Luis Humberto López-Murillo; Felipe Buitrago-Carmona; Juan Pablo Villa Pulgarin; Esteban Mercado Ruiz; Simon Orozco-Arias; Mahmoud Hassaballah; et al. (CoRR, 2022)

SAM-UNETR: Clinically Significant Prostate Cancer Segmentation Using Transfer Learning From Large Model. - Jesús Alejandro Alzate-Grisales; Alejandro Mora-Rubio; Francisco García-García 002; Reinel Tabares-Soto; María de la Iglesia-Vayá (IEEE Access, 2023)

Classification of Alzheimer's disease stages from magnetic resonance images using deep learning. - Alejandro Mora-Rubio; Mario Alejandro Bravo-Ortiz; Sebastián Quiñones Arredondo; José Manuel Saborit-Torres; Gonzalo A. Ruz; Reinel Tabares-Soto (PeerJ Comput. Sci., 2023)

A systematic review of vision transformers and convolutional neural networks for Alzheimer's disease classification using 3D MRI images. - Mario Alejandro Bravo-Ortiz; Sergio Alejandro Holguin-Garcia; Sebastián Quiñones Arredondo; Alejandro Mora-Rubio; Ernesto Guevara-Navarro; Harold Brayan Arteaga-Arteaga; Gonzalo A. Ruz; Reinel Tabares-Soto (Neural Comput. Appl., 2024)

Extreme Cardiac MRI Analysis under Respiratory Motion: Results of the CMRxMotion Challenge. - Kang Wang; Chen Qin; Zhang Shi; Haoran Wang 009; Xiwen Zhang; Chen Chen 042; Cheng Ouyang; Chengliang Dai; Yuanhan Mo; Chenchen Dai; Xutong Kuang; Ruizhe Li; et al. (CoRR, 2025)