Publicaciones en las que colabora con MARIA GARCIA GADAÑON (19)

2024

  1. An Explainable Deep-Learning Model to Aid in the Diagnosis of Age Related Macular Degeneration

    IFMBE Proceedings

  2. Attention-based deep learning framework for automatic fundus image processing to aid in diabetic retinopathy grading

    Computer Methods and Programs in Biomedicine, Vol. 249

  3. Transfer Learning from the Domain of Diabetic Retinopathy to Aid in the Detection of Age-Related Macular Degeneration

    IFMBE Proceedings

2020

  1. A robust method for the automatic location of the optic disc and the fovea in fundus images

    Computer Methods and Programs in Biomedicine, Vol. 196

  2. Effective fundus image decomposition for the detection of red lesions and hard exudates to aid in the diagnosis of diabetic retinopathy

    Sensors (Switzerland), Vol. 20, Núm. 22, pp. 1-17

2019

  1. Combination of global features for the automatic quality assessment of retinal images

    Entropy, Vol. 21, Núm. 3

  2. Entropy rate superpixel classification for automatic red lesion detection in fundus images

    Entropy, Vol. 21, Núm. 4

2018

  1. Clasificación de superpíxeles para la detección automática de lesiones rojizas en imágenes de fondo de ojo

    Libro de Actas del XXXVI Congreso Anual de la Sociedad Española de Ingeniería Biomédica

  2. Evaluación automática de la calidad en retinografías mediante clasificación de características globales de imágenes

    Libro de Actas del XXXVI Congreso Anual de la Sociedad Española de Ingeniería Biomédica

2016

  1. Automated detection of diabetic retinopathy in retinal images

    Indian Journal of Ophthalmology, Vol. 64, Núm. 1, pp. 26-32

2013

  1. Comparison of logistic regression and neural network classifiers in the detection of hard exudates in retinal images

    Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

2010

  1. Assessment of four neural network based classifiers to automatically detect red lesions in retinal images

    Medical Engineering and Physics, Vol. 32, Núm. 10, pp. 1085-1093

2009

  1. Detection of hard exudates in retinal images using a radial basis function classifier

    Annals of Biomedical Engineering, Vol. 37, Núm. 7, pp. 1448-1463

  2. Neural network based detection of hard exudates in retinal images

    Computer Methods and Programs in Biomedicine, Vol. 93, Núm. 1, pp. 9-19

  3. Retinal image analysis based on mixture models to detect hard exudates

    Medical Image Analysis, Vol. 13, Núm. 4, pp. 650-658

  4. Utility of a radial basis function classifier in the detection of red lesions in retinal images

    IFMBE Proceedings

2008

  1. Automatic detection of red lesions in retinal images using a multilayer perceptron neural network

    Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology"

2007

  1. Feature extraction and selection for the automatic detection of hard exudates in retinal images

    Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

2006

  1. Automatic image processing algorithm to detect hard exudates based on mixture models

    Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings