Interactive Data Visualization Using Dimensionality Reduction and Similarity-Based Representations. - P. Rosero-Montalvo; P. Diaz; Jose Alejandro Salazar-Castro; D. F. Peña-Unigarro; Andres J. Anaya-Isaza; Juan C. Alvarado-Pérez; Roberto Therón; Diego Hernán Peluffo-Ordóñez (CIARP, 2016)

On the Relationship Between Dimensionality Reduction and Spectral Clustering from a Kernel Viewpoint. - Diego Hernán Peluffo-Ordóñez; Miguel A. Becerra; Andrés Eduardo Castro-Ospina; X. P. Blanco-Valencia; Juan C. Alvarado-Pérez; Roberto Therón; Andres J. Anaya-Isaza (DCAI, 2016)

Comparison of Current Deep Convolutional Neural Networks for the Segmentation of Breast Masses in Mammograms. - Andres J. Anaya-Isaza; Leonel Mera-Jiménez; Johan Manuel Cabrera-Chavarro; Lorena Guachi-Guachi; Diego Hernán Peluffo-Ordóñez; Jorge Iván Ríos Patiño (IEEE Access, 2021)

Data Augmentation and Transfer Learning for Brain Tumor Detection in Magnetic Resonance Imaging. - Andres J. Anaya-Isaza; Leonel Mera-Jiménez (IEEE Access, 2022)

Detection of Diabetes Mellitus With Deep Learning and Data Augmentation Techniques on Foot Thermography. - Andres J. Anaya-Isaza; Martha Zequera-Diaz (IEEE Access, 2022)

CrossTransUnet: A New Computationally Inexpensive Tumor Segmentation Model for Brain MRI. - Andres J. Anaya-Isaza; Leonel Mera-Jiménez; Alvaro Fernandez-Quilez (IEEE Access, 2023)

The Effect of Dimple Insole Design on the Plantar Temperature and Pressure in People with Diabetes and in Healthy Individuals. - Martha Zequera; Alejandro J. Almenar-Arasanz; Javier Alfaro-Santafé; David Allan; Andres J. Anaya-Isaza; Mauricio Cubides; Natalia Rodríguez; Cesar Salazar; Roozbeh Naemi (Sensors, 2024)