Marcos
Ortega Hortas
Catedrático de Universidad
Jorge
Novo Buján
Profesor Titular de Universidad
Publicaciones en las que colabora con Jorge Novo Buján (144)
2025
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Computer-assisted evaluation of retinal vessel tortuosity in children with sickle cell disease without retinopathy
Microvascular Research, Vol. 157
2024
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Adapted generative latent diffusion models for accurate pathological analysis in chest X-ray images
Medical and Biological Engineering and Computing, Vol. 62, Núm. 7, pp. 2189-2212
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Are artificial intelligence chatbots a reliable source of information about contact lenses?
Contact Lens and Anterior Eye, Vol. 47, Núm. 2
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Automatic simultaneous ciliary muscle segmentation and biomarker extraction in AS-OCT images using deep learning-based approaches
Biomedical Signal Processing and Control, Vol. 90
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Comparative study of the glistening between four intraocular lens models assessed by OCT and deep learning
Journal of Cataract and Refractive Surgery, Vol. 50, Núm. 1, pp. 37-42
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Efficient clinical decision-making process via AI-based multimodal data fusion: A COVID-19 case study
Heliyon, Vol. 10, Núm. 20
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Evolutionary multi-target neural network architectures for flow void analysis in optical coherence tomography angiography
Applied Soft Computing, Vol. 153
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Explainable artificial intelligence for the automated assessment of the retinal vascular tortuosity
Medical and Biological Engineering and Computing, Vol. 62, Núm. 3, pp. 865-881
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Multi-Adaptive Optimization for multi-task learning with deep neural networks
Neural Networks, Vol. 170, pp. 254-265
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Multi-task localization of the hemidiaphragms and lung segmentation in portable chest X-ray images of COVID-19 patients
Digital Health, Vol. 10
2023
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A new generative approach for optical coherence tomography data scarcity: unpaired mutual conversion between scanning presets
Medical and Biological Engineering and Computing, Vol. 61, Núm. 5, pp. 1093-1112
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Automatic Segmentation of Retinal Layers in Multiple Neurodegenerative Disorder Scenarios
IEEE Journal of Biomedical and Health Informatics, Vol. 27, Núm. 11, pp. 5483-5494
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Comprehensive analysis of clinical data for COVID-19 outcome estimation with machine learning models
Biomedical Signal Processing and Control, Vol. 84
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Comprehensive fully-automatic multi-depth grading of the clinical types of macular neovascularization in OCTA images
Applied Intelligence, Vol. 53, Núm. 21, pp. 25897-25918
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Computer-assisted evaluation of retinal vessel tortuosity in moderate-to-late preterm children
European Journal of Ophthalmology, Vol. 33, Núm. 5, pp. 1874-1882
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Computerized tool for the automatic segmentation of DRT edemas using OCT scans
Photo Acoustic and Optical Coherence Tomography Imaging, Volume 1: Diabetic retinopathy (Institute of Physics Publishing), pp. 1
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Context encoder transfer learning approaches for retinal image analysis
Computers in Biology and Medicine, Vol. 152
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Deep feature analysis in a transfer learning approach for the automatic COVID-19 screening using chest X-ray images
Procedia Computer Science
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Deformable registration of multimodal retinal images using a weakly supervised deep learning approach
Neural Computing and Applications, Vol. 35, Núm. 20, pp. 14779-14797
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Explainable learning to analyze the outcome of COVID-19 patients using clinical data
Procedia Computer Science