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:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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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

Context encoder transfer learning approaches for retinal image analysis.
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

Context encoder self-supervised approaches for eye fundus analysis.
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


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