Daniel Iglesias Morís
Orcid: 0000-0002-5239-0421
According to our database1,
Daniel Iglesias Morís
authored at least 13 papers
between 2021 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
Adapted generative latent diffusion models for accurate pathological analysis in chest X-ray images.
Medical Biol. Eng. Comput., July, 2024
2023
Comprehensive analysis of clinical data for COVID-19 outcome estimation with machine learning models.
Biomed. Signal Process. Control., July, 2023
Comput. Biol. Medicine, 2023
Explainable learning to analyze the outcome of COVID-19 patients using clinical data.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023
Deep feature analysis in a transfer learning approach for the automatic COVID-19 screening using chest X-ray images.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023
2022
Unsupervised contrastive unpaired image generation approach for improving tuberculosis screening using chest X-ray images.
Pattern Recognit. Lett., 2022
Portable chest X-ray image generation for the improvement of the automatic COVID-19 screening.
Proceedings of V XoveTIC Conference, 2022
Performance Analysis of GAN Approaches in the Portable Chest X-Ray Synthetic Image Generation for COVID-19 Screening.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2022, 2022
Impact of the Region of Analysis on the Performance of the Automatic Epiretinal Membrane Segmentation in OCT Images.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2022, 2022
2021
Data augmentation approaches using cycle-consistent adversarial networks for improving COVID-19 screening in portable chest X-ray images.
Expert Syst. Appl., 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Cycle Generative Adversarial Network Approaches to Produce Novel Portable Chest X-Rays Images for Covid-19 Diagnosis.
Proceedings of the IEEE International Conference on Acoustics, 2021
Comprehensive Analysis of the Screening of COVID-19 Approaches in Chest X-ray Images from Portable Devices.
Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021