Publicaciones en colaboración con investigadores/as de Instituto de Oftalmología Aplicada de Valladolid (11)

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

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. 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