| Data augmentation approaches using cycle-consistent adversarial networks for improving COVID-19 screening in portable chest X-ray images DI Morís, JJ de Moura Ramos, JN Buján, MO Hortas Expert systems with applications 185, 115681, 2021 | 44 | 2021 |
| Cycle generative adversarial network approaches to produce novel portable chest X-rays images for COVID-19 diagnosis DI Morís, J de Moura, J Novo, M Ortega ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 21 | 2021 |
| Unsupervised contrastive unpaired image generation approach for improving tuberculosis screening using chest X-ray images DI Morís, J de Moura, J Novo, M Ortega Pattern Recognition Letters 164, 60-66, 2022 | 7 | 2022 |
| Portable chest X-ray synthetic image generation for the COVID-19 screening DI Morís, J de Moura, J Novo, M Ortega Engineering Proceedings 7 (1), 6, 2021 | 4 | 2021 |
| Comprehensive analysis of the screening of COVID-19 approaches in chest X-ray images from portable devices D Iglesias Morís, J Moura, J Novo Buján, M Ortega Hortas ESANN 2021, 165-170, 2021 | 4 | 2021 |
| Comprehensive analysis of clinical data for COVID-19 outcome estimation with machine learning models DI Morís, J de Moura, PJ Marcos, EM Rey, J Novo, M Ortega Biomedical Signal Processing and Control 84, 104818, 2023 | 3 | 2023 |
| Generation of novel synthetic portable chest x-ray images for automatic covid-19 screening DI Morís, J de Moura, J Novo, M Ortega AI Applications for Disease Diagnosis and Treatment, 248-281, 2022 | 2 | 2022 |
| Context encoder self-supervised approaches for eye fundus analysis DI Morís, ÁS Hervella, J Rouco, J Novo, M Ortega 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 2 | 2021 |
| Deep feature analysis in a transfer learning approach for the automatic COVID-19 screening using chest X-ray images DI Morís, J de Moura, J Novo, M Ortega Procedia Computer Science 225, 228-237, 2023 | 1 | 2023 |
| Context encoder transfer learning approaches for retinal image analysis DI Moris, AS Hervella, J Rouco, J Novo, M Ortega Computers in Biology and Medicine 152, 106451, 2023 | 1 | 2023 |
| Adapted generative latent diffusion models for accurate pathological analysis in chest X-ray images DI Morís, J Moura, J Novo, M Ortega Medical & Biological Engineering & Computing, 1-24, 2024 | | 2024 |
| Multi-task localization of the hemidiaphragms and lung segmentation in portable chest X-ray images of COVID-19 patients DI Morís, J de Moura, S Aslani, J Jacob, J Novo, M Ortega Digital Health 10, 20552076231225853, 2024 | | 2024 |
| Análisis de datos multimodales para la toma de decisiones clínicas utilizando Inteligencia Artificial en el contexto de la COVID-19 D Iglesias Morís, J Moura, PJ Marcos, E Míguez-Rey, J Novo Buján, ... BIOINTEGRASAÚDE 2023, 2023 | | 2023 |
| Portable chest X-ray image generation for the improvement of the automatic COVID-19 screening D Iglesias Morís, J Moura, J Novo Buján, M Ortega Hortas Kalpa Publications in Computing 14, 104-107, 2023 | | 2023 |
| Explainable learning to analyze the outcome of COVID-19 patients using clinical data D Olañeta, DI Morís, J de Moura, PJ Marcos, EM Rey, J Novo, M Ortega Procedia Computer Science 225, 238-247, 2023 | | 2023 |
| Impact of the Region of Analysis on the Performance of the Automatic Epiretinal Membrane Segmentation in OCT Images M Gende, DI Morís, J de Moura, J Novo, M Ortega International Conference on Computer Aided Systems Theory, 395-402, 2022 | | 2022 |
| Performance Analysis of GAN Approaches in the Portable Chest X-Ray Synthetic Image Generation for COVID-19 Screening DI Morís, M Gende, J de Moura, J Novo, M Ortega International Conference on Computer Aided Systems Theory, 403-410, 2022 | | 2022 |
| Performance analysis of GAN approaches in the portable chest X-ray synthetic image generation for COVID-19 screening D Iglesias Morís, M Gende Lozano, J Moura, J Novo Buján, ... Lecture Notes in Computer Science, 2022 | | 2022 |
Marcos Ortega Hortas (ORCID: 0000-0...Full Professor CS&AI at Universidade da Coruña. VARPA Group. INIBIC Biomedical Research在 udc.es 的电子邮件经过验证
