Jorge
Novo Buján
Universidade da Coruña
La Coruña, EspañaPublications in collaboration with researchers from Universidade da Coruña (182)
2025
-
Computer-assisted evaluation of retinal vessel tortuosity in children with sickle cell disease without retinopathy
Microvascular Research, Vol. 157
2024
-
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
-
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
-
Are artificial intelligence chatbots a reliable source of information about contact lenses?
Contact Lens and Anterior Eye, Vol. 47, Núm. 2
-
Automatic simultaneous ciliary muscle segmentation and biomarker extraction in AS-OCT images using deep learning-based approaches
Biomedical Signal Processing and Control, Vol. 90
-
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
-
ConKeD: multiview contrastive descriptor learning for keypoint-based retinal image registration
Medical and Biological Engineering and Computing
-
Efficient clinical decision-making process via AI-based multimodal data fusion: A COVID-19 case study
Heliyon, Vol. 10, Núm. 20
-
Evolutionary multi-target neural network architectures for flow void analysis in optical coherence tomography angiography
Applied Soft Computing, Vol. 153
-
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
-
FMPD - Freshwater Microscopy Phytoplankton Dataset
Zenodo
-
FMPD - Freshwater Microscopy Phytoplankton Dataset
Zenodo
-
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
-
Multi-Adaptive Optimization for multi-task learning with deep neural networks
Neural Networks, Vol. 170, pp. 254-265
-
Multi-task localization of the hemidiaphragms and lung segmentation in portable chest X-ray images of COVID-19 patients
Digital Health, Vol. 10
-
Phytoplankton detection and recognition in freshwater digital microscopy images using deep learning object detectors
Heliyon, Vol. 10, Núm. 3
2023
-
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
-
Automatic Segmentation of Retinal Layers in Multiple Neurodegenerative Disorder Scenarios
IEEE Journal of Biomedical and Health Informatics, Vol. 27, Núm. 11, pp. 5483-5494
-
Comprehensive analysis of clinical data for COVID-19 outcome estimation with machine learning models
Biomedical Signal Processing and Control, Vol. 84
-
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