MARIA
GARCIA GADAÑON
PROFESORES TITULARES DE UNIVERSIDAD
MARIA ISABEL
LOPEZ GALVEZ
Researcher in the period 1995-2022
Publications by the researcher in collaboration with MARIA ISABEL LOPEZ GALVEZ (19)
2024
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An Explainable Deep-Learning Model to Aid in the Diagnosis of Age Related Macular Degeneration
IFMBE Proceedings
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Attention-based deep learning framework for automatic fundus image processing to aid in diabetic retinopathy grading
Computer Methods and Programs in Biomedicine, Vol. 249
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Transfer Learning from the Domain of Diabetic Retinopathy to Aid in the Detection of Age-Related Macular Degeneration
IFMBE Proceedings
2020
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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
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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
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Combination of global features for the automatic quality assessment of retinal images
Entropy, Vol. 21, Núm. 3
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Entropy rate superpixel classification for automatic red lesion detection in fundus images
Entropy, Vol. 21, Núm. 4
2018
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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
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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
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Automated detection of diabetic retinopathy in retinal images
Indian Journal of Ophthalmology, Vol. 64, Núm. 1, pp. 26-32
2013
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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
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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
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Detection of hard exudates in retinal images using a radial basis function classifier
Annals of Biomedical Engineering, Vol. 37, Núm. 7, pp. 1448-1463
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Neural network based detection of hard exudates in retinal images
Computer Methods and Programs in Biomedicine, Vol. 93, Núm. 1, pp. 9-19
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Retinal image analysis based on mixture models to detect hard exudates
Medical Image Analysis, Vol. 13, Núm. 4, pp. 650-658
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Utility of a radial basis function classifier in the detection of red lesions in retinal images
IFMBE Proceedings
2008
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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
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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
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Automatic image processing algorithm to detect hard exudates based on mixture models
Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings