Daniel Iglesias Morís

According to our database, Daniel Iglesias Morís authored at least 11 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

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

Daniel Iglesias Morís, Joaquim de Moura, Pedro J. Marcos, Enrique Míguez Rey, Jorge Novo, Marcos Ortega

Biomed. Signal Process. Control., July, 2023

Context encoder transfer learning approaches for retinal image analysis.

Daniel Iglesias Morís, Álvaro S. Hervella, José Rouco, Jorge Novo, Marcos Ortega

Comput. Biol. Medicine, 2023

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

Daniel Olañeta, Daniel Iglesias Morís, Joaquim de Moura, Pedro J. Marcos, Enrique Míguez Rey, Jorge Novo, Marcos Ortega

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.

Daniel Iglesias Morís, Joaquim de Moura, Jorge Novo, Marcos Ortega

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.

Daniel Iglesias Morís, Joaquim de Moura, Jorge Novo, Marcos Ortega

Pattern Recognit. Lett., 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

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.

Mateo Gende, Daniel Iglesias Morís, Joaquim de Moura, Jorge Novo, Marcos Ortega

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.

Daniel Iglesias Morís, José Joaquim de Moura Ramos, Jorge Novo Buján, Marcos Ortega Hortas

Expert Syst. Appl., 2021

Context encoder self-supervised approaches for eye fundus analysis.

Daniel Iglesias Morís, Álvaro S. Hervella, José Rouco, Jorge Novo, Marcos Ortega

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.

Daniel Iglesias Morís, Joaquim de Moura, Jorge Novo, Marcos Ortega

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.

Daniel Iglesias Morís, Joaquim de Moura, Jorge Novo, Marcos Ortega

Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021