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)

Volume Reduction Techniques for the Classification of Independent Components of rs-fMRI Data: a Study with Convolutional Neural Networks. - Leonel Mera-Jiménez; John F. Ochoa-Gómez (Neuroinformatics, 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)