Publicaciones (215) Publicaciones de Marcos Ortega Hortas

2024

  1. Adapted generative latent diffusion models for accurate pathological analysis in chest X-ray images

    Medical and Biological Engineering and Computing

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

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

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

    Biomedical Signal Processing and Control, Vol. 90

  4. 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

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

    Applied Soft Computing, Vol. 153

  6. 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

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

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

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

    Digital Health, Vol. 10

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. Análisis de similitud de marcas gráficas mediante técnicas de visión artificial y aprendizaje profundo

    El derecho de marcas y de la competencia ante las tecnologías de vanguardia (Tirant lo Blanch), pp. 167-184

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

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

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

    Biomedical Signal Processing and Control, Vol. 84

  5. 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

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

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

  7. 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

  8. Context encoder transfer learning approaches for retinal image analysis

    Computers in Biology and Medicine, Vol. 152

  9. Deep feature analysis in a transfer learning approach for the automatic COVID-19 screening using chest X-ray images

    Procedia Computer Science

  10. Deformable registration of multimodal retinal images using a weakly supervised deep learning approach

    Neural Computing and Applications, Vol. 35, Núm. 20, pp. 14779-14797

  11. Explainable learning to analyze the outcome of COVID-19 patients using clinical data

    Procedia Computer Science

  12. Fully automatic segmentation and monitoring of choriocapillaris flow voids in OCTA images

    Computerized Medical Imaging and Graphics, Vol. 104