Publicacións (193) Publicacións de Jorge Novo Buján

2025

  1. Computer-assisted evaluation of retinal vessel tortuosity in children with sickle cell disease without retinopathy

    Microvascular Research, Vol. 157

2024

  1. 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

  2. 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

  3. Are artificial intelligence chatbots a reliable source of information about contact lenses?

    Contact Lens and Anterior Eye, Vol. 47, Núm. 2

  4. Automatic simultaneous ciliary muscle segmentation and biomarker extraction in AS-OCT images using deep learning-based approaches

    Biomedical Signal Processing and Control, Vol. 90

  5. 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

  6. ConKeD: multiview contrastive descriptor learning for keypoint-based retinal image registration

    Medical and Biological Engineering and Computing

  7. Efficient clinical decision-making process via AI-based multimodal data fusion: A COVID-19 case study

    Heliyon, Vol. 10, Núm. 20

  8. Evolutionary multi-target neural network architectures for flow void analysis in optical coherence tomography angiography

    Applied Soft Computing, Vol. 153

  9. 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

  10. 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

  11. Multi-Adaptive Optimization for multi-task learning with deep neural networks

    Neural Networks, Vol. 170, pp. 254-265

  12. Multi-task localization of the hemidiaphragms and lung segmentation in portable chest X-ray images of COVID-19 patients

    Digital Health, Vol. 10

  13. Phytoplankton detection and recognition in freshwater digital microscopy images using deep learning object detectors

    Heliyon, Vol. 10, Núm. 3

2023

  1. 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

  2. Automatic Segmentation of Retinal Layers in Multiple Neurodegenerative Disorder Scenarios

    IEEE Journal of Biomedical and Health Informatics, Vol. 27, Núm. 11, pp. 5483-5494

  3. Comprehensive analysis of clinical data for COVID-19 outcome estimation with machine learning models

    Biomedical Signal Processing and Control, Vol. 84

  4. 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

  5. Computer-assisted evaluation of retinal vessel tortuosity in moderate-to-late preterm children

    European Journal of Ophthalmology, Vol. 33, Núm. 5, pp. 1874-1882

  6. 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