Publications by the researcher in collaboration with Daniel Iglesias Morís (15)

2024

  1. Adapted generative latent diffusion models for accurate pathological analysis in chest X-ray images

    Medical and Biological Engineering and Computing, Vol. 62, Núm. 7, pp. 2189-2212

  2. Efficient clinical decision-making process via AI-based multimodal data fusion: A COVID-19 case study

    Heliyon, Vol. 10, Núm. 20

  3. Multi-task localization of the hemidiaphragms and lung segmentation in portable chest X-ray images of COVID-19 patients

    Digital Health, Vol. 10

2023

  1. Comprehensive analysis of clinical data for COVID-19 outcome estimation with machine learning models

    Biomedical Signal Processing and Control, Vol. 84

  2. Context encoder transfer learning approaches for retinal image analysis

    Computers in Biology and Medicine, Vol. 152

  3. Deep feature analysis in a transfer learning approach for the automatic COVID-19 screening using chest X-ray images

    Procedia Computer Science

  4. Explainable learning to analyze the outcome of COVID-19 patients using clinical data

    Procedia Computer Science

2022

  1. Impact of the Region of Analysis on the Performance of the Automatic Epiretinal Membrane Segmentation in OCT Images

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. Performance Analysis of GAN Approaches in the Portable Chest X-Ray Synthetic Image Generation for COVID-19 Screening

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  3. Unsupervised contrastive unpaired image generation approach for improving tuberculosis screening using chest X-ray images

    Pattern Recognition Letters, Vol. 164, pp. 60-66

2021

  1. Comprehensive Analysis of the Screening of COVID-19 Approaches in Chest X-ray Images from Portable Devices

    ESANN 2021 Proceedings - 29th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning

  2. Context encoder self-supervised approaches for eye fundus analysis

    Proceedings of the International Joint Conference on Neural Networks

  3. Cycle generative adversarial network approaches to produce novel portable chest X-rays images for covid-19 diagnosis

    ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

  4. Data augmentation approaches using cycle-consistent adversarial networks for improving COVID-19 screening in portable chest X-ray images

    Expert Systems with Applications, Vol. 185

  5. Portable Chest X-ray Synthetic Image Generation for the COVID-19 Screening †

    Engineering Proceedings, Vol. 7, Núm. 1