Jorge
Novo Buján
Universidade da Coruña
La Coruña, EspañaPublicacións en colaboración con investigadores/as de Universidade da Coruña (183)
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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3D Features Fusion for Automated Segmentation of Fluid Regions in CSCR Patients: An OCT-based Photodynamic Therapy Response Analysis
JOURNAL OF IMAGING INFORMATICS IN MEDICINE
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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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ConKeD: multiview contrastive descriptor learning for keypoint-based retinal image registration
Medical and Biological Engineering and Computing
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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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FMPD - Freshwater Microscopy Phytoplankton Dataset
Zenodo
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FMPD - Freshwater Microscopy Phytoplankton Dataset
Zenodo
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Fully automatic deep convolutional approaches for the screening of neurodegeneratives diseases using multi-view OCT images
Artificial Intelligence in Medicine, Vol. 158
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Intra- and Inter-expert Validation of an Automatic Segmentation Method for Fluid Regions Associated with Central Serous Chorioretinopathy in OCT Images
JOURNAL OF IMAGING INFORMATICS IN MEDICINE, Vol. 37, Núm. 1, pp. 107-122
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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
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Phytoplankton detection and recognition in freshwater digital microscopy images using deep learning object detectors
Heliyon, Vol. 10, Núm. 3
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