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ORCIDDaniel I. Morís
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- affiliation: University of A Coruña, Department of Computer Science and Information Technology, A Coruña, Spain
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2020 – today
- 2025
[j6]Daniel I. Morís
, Joaquim de Moura, Enrique J. Carmona, Jorge Novo, Marcos Ortega:
Semantic-guided generative latent diffusion augmentation approaches for improving the neovascularization diagnosis in OCT-A imaging. Pattern Recognit. Lett. 189: 31-37 (2025)- 2024
- [j5]Daniel I. Morís, Joaquim de Moura, Jorge Novo, Marcos Ortega:
Adapted generative latent diffusion models for accurate pathological analysis in chest X-ray images. Medical Biol. Eng. Comput. 62(7): 2189-2212 (2024) - 2023
- [j4]Daniel I. Morís, Joaquim de Moura, Pedro J. Marcos, Enrique Míguez Rey, Jorge Novo, Marcos Ortega:
Comprehensive analysis of clinical data for COVID-19 outcome estimation with machine learning models. Biomed. Signal Process. Control. 84: 104818 (2023) - [j3]Daniel I. Morís, Álvaro S. Hervella, José Rouco, Jorge Novo, Marcos Ortega:
Context encoder transfer learning approaches for retinal image analysis. Comput. Biol. Medicine 152: 106451 (2023) - [c8]Daniel I. Morís, Joaquim de Moura, Jorge Novo, Marcos Ortega:
Deep feature analysis in a transfer learning approach for the automatic COVID-19 screening using chest X-ray images. KES 2023: 228-237 - [c7]Daniel Olañeta, Daniel I. Morís, Joaquim de Moura, Pedro J. Marcos, Enrique Míguez Rey, Jorge Novo, Marcos Ortega:
Explainable learning to analyze the outcome of COVID-19 patients using clinical data. KES 2023: 238-247 - 2022
- [j2]Daniel I. Morís, Joaquim de Moura, Jorge Novo, Marcos Ortega:
Unsupervised contrastive unpaired image generation approach for improving tuberculosis screening using chest X-ray images. Pattern Recognit. Lett. 164: 60-66 (2022) - [c6]Mateo Gende, Daniel Iglesias Morís, Joaquim de Moura, Jorge Novo, Marcos Ortega:
Impact of the Region of Analysis on the Performance of the Automatic Epiretinal Membrane Segmentation in OCT Images. EUROCAST 2022: 395-402 - [c5]Daniel Iglesias Morís, Mateo Gende, Joaquim de Moura, Jorge Novo, Marcos Ortega:
Performance Analysis of GAN Approaches in the Portable Chest X-Ray Synthetic Image Generation for COVID-19 Screening. EUROCAST 2022: 403-410 - [c4]Daniel I. Morís, Joaquim de Moura, Jorge Novo, Marcos Ortega:
Portable chest X-ray image generation for the improvement of the automatic COVID-19 screening. XoveTIC 2022: 104-107 - 2021
- [j1]Daniel Iglesias Morís, José Joaquim de Moura Ramos, Jorge Novo Buján, Marcos Ortega Hortas:
Data augmentation approaches using cycle-consistent adversarial networks for improving COVID-19 screening in portable chest X-ray images. Expert Syst. Appl. 185: 115681 (2021) - [c3]Daniel I. Morís, Joaquim de Moura, Jorge Novo, Marcos Ortega:
Comprehensive Analysis of the Screening of COVID-19 Approaches in Chest X-ray Images from Portable Devices. ESANN 2021 - [c2]Daniel I. Morís, Joaquim de Moura, Jorge Novo, Marcos Ortega:
Cycle Generative Adversarial Network Approaches to Produce Novel Portable Chest X-Rays Images for Covid-19 Diagnosis. ICASSP 2021: 1060-1064 - [c1]Daniel I. Morís, Álvaro S. Hervella, José Rouco, Jorge Novo, Marcos Ortega:
Context encoder self-supervised approaches for eye fundus analysis. IJCNN 2021: 1-8
Coauthor Index
aka: José Joaquim de Moura Ramos
aka: Jorge Novo Buján
aka: Marcos Ortega Hortas
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