Comprehensive Analysis of the Screening of COVID-19 Approaches in Chest X-ray Images from Portable Devices. - Daniel I. Morís; Joaquim de Moura; Jorge Novo; Marcos Ortega 001 (ESANN, 2021)

Cycle Generative Adversarial Network Approaches to Produce Novel Portable Chest X-Rays Images for Covid-19 Diagnosis. - Daniel I. Morís; Joaquim de Moura; Jorge Novo; Marcos Ortega 001 (ICASSP, 2021)

Context encoder self-supervised approaches for eye fundus analysis. - Daniel I. Morís; Álvaro S. Hervella; José Rouco; Jorge Novo; Marcos Ortega 001 (IJCNN, 2021)

Data augmentation approaches using cycle-consistent adversarial networks for improving COVID-19 screening in portable chest X-ray images. - Daniel Iglesias Morís; José Joaquim de Moura Ramos; Jorge Novo Buján; Marcos Ortega Hortas (Expert Syst. Appl., 2021)

Impact of the Region of Analysis on the Performance of the Automatic Epiretinal Membrane Segmentation in OCT Images. - Mateo Gende; Daniel Iglesias Morís; Joaquim de Moura; Jorge Novo; Marcos Ortega 001 (EUROCAST, 2022)

Performance Analysis of GAN Approaches in the Portable Chest X-Ray Synthetic Image Generation for COVID-19 Screening. - Daniel Iglesias Morís; Mateo Gende; Joaquim de Moura; Jorge Novo; Marcos Ortega 001 (EUROCAST, 2022)

Portable chest X-ray image generation for the improvement of the automatic COVID-19 screening. - Daniel I. Morís; Joaquim de Moura; Jorge Novo; Marcos Ortega 001 (XoveTIC, 2022)

Unsupervised contrastive unpaired image generation approach for improving tuberculosis screening using chest X-ray images. - Daniel I. Morís; Joaquim de Moura; Jorge Novo; Marcos Ortega 001 (Pattern Recognit. Lett., 2022)

Deep feature analysis in a transfer learning approach for the automatic COVID-19 screening using chest X-ray images. - Daniel I. Morís; Joaquim de Moura; Jorge Novo; Marcos Ortega 001 (KES, 2023)

Explainable learning to analyze the outcome of COVID-19 patients using clinical data. - Daniel Olañeta; Daniel I. Morís; Joaquim de Moura; Pedro J. Marcos; Enrique Míguez Rey; Jorge Novo; Marcos Ortega 001 (KES, 2023)

Context encoder transfer learning approaches for retinal image analysis. - Daniel I. Morís; Álvaro S. Hervella; José Rouco; Jorge Novo; Marcos Ortega 001 (Comput. Biol. Medicine, 2023)

Comprehensive analysis of clinical data for COVID-19 outcome estimation with machine learning models. - Daniel I. Morís; Joaquim de Moura; Pedro J. Marcos; Enrique Míguez Rey; Jorge Novo; Marcos Ortega 001 (Biomed. Signal Process. Control., 2023)

Adapted generative latent diffusion models for accurate pathological analysis in chest X-ray images. - Daniel I. Morís; Joaquim de Moura; Jorge Novo; Marcos Ortega 001 (Medical Biol. Eng. Comput., 2024)

Semantic-guided generative latent diffusion augmentation approaches for improving the neovascularization diagnosis in OCT-A imaging. - Daniel I. Morís; Joaquim de Moura; Enrique J. Carmona; Jorge Novo; Marcos Ortega 001 (Pattern Recognit. Lett., 2025)