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María García
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Retinopathy online challenge: automatic detection of microaneurysms in digital color fundus photographs
M Niemeijer, B Van Ginneken, MJ Cree, A Mizutani, G Quellec, ...
IEEE transactions on medical imaging 29 (1), 185-195, 2009
7012009
Analysis of EEG background activity in Alzheimer's disease patients with Lempel–Ziv complexity and central tendency measure
D Abásolo, R Hornero, C Gómez, M García, M López
Medical engineering and physics 28 (4), 315-322, 2006
4092006
Retinal image analysis based on mixture models to detect hard exudates
CI Sánchez, M García, A Mayo, MI López, R Hornero
Medical Image Analysis 13 (4), 650-658, 2009
2542009
Neural network based detection of hard exudates in retinal images
M García, CI Sánchez, MI López, D Abásolo, R Hornero
Computer Methods and programs in biomedicine 93 (1), 9-19, 2009
2462009
Extraction of spectral based measures from MEG background oscillations in Alzheimer's disease
J Poza, R Hornero, D Abásolo, A Fernández, M García
Medical engineering & physics 29 (10), 1073-1083, 2007
1652007
Improving diagnostic ability of blood oxygen saturation from overnight pulse oximetry in obstructive sleep apnea detection by means of central tendency measure
D Álvarez, R Hornero, M García, F del Campo, C Zamarrón
Artificial intelligence in medicine 41 (1), 13-24, 2007
1152007
Detection of hard exudates in retinal images using a radial basis function classifier
M García, CI Sánchez, J Poza, MI López, R Hornero
Annals of biomedical engineering 37 (7), 1448-1463, 2009
882009
Automated detection of diabetic retinopathy in retinal images
C Valverde, M Garcia, R Hornero, MI Lopez-Galvez
Indian journal of ophthalmology 64 (1), 26, 2016
862016
Assessment of four neural network based classifiers to automatically detect red lesions in retinal images
M García, MI López, D Álvarez, R Hornero
Medical engineering & physics 32 (10), 1085-1093, 2010
862010
Mixture model-based clustering and logistic regression for automatic detection of microaneurysms in retinal images
CI Sánchez, R Hornero, A Mayo, M García
Medical Imaging 2009: Computer-Aided Diagnosis 7260, 72601M, 2009
832009
Analysis of spontaneous MEG activity in mild cognitive impairment and Alzheimer's disease using spectral entropies and statistical complexity measures
R Bruña, J Poza, C Gómez, M García, A Fernández, R Hornero
Journal of neural engineering 9 (3), 036007, 2012
822012
Feature extraction and selection for the automatic detection of hard exudates in retinal images
M Garcia, R Hornero, CI Sanchez, MI López, A Díez
2007 29th Annual International Conference of the IEEE Engineering in …, 2007
702007
Automatic detection of red lesions in retinal images using a multilayer perceptron neural network
M García, CI Sánchez, MI López, A Díez, R Hornero
2008 30th Annual International Conference of the IEEE Engineering in …, 2008
612008
Assessment of Airflow and Oximetry Signals to Detect Pediatric Sleep Apnea-Hypopnea Syndrome Using AdaBoost
J Jiménez-García, GC Gutiérrez-Tobal, M García, L Kheirandish-Gozal, ...
Entropy 22 (6), 670, 2020
522020
A 2D convolutional neural network to detect sleep apnea in children using airflow and oximetry
J Jiménez-García, M García, GC Gutiérrez-Tobal, L Kheirandish-Gozal, ...
Computers in Biology and Medicine 147, 105784, 2022
472022
Attention-based deep learning framework for automatic fundus image processing to aid in diabetic retinopathy grading
R Romero-Oraá, M Herrero-Tudela, MI López, R Hornero, M García
Computer Methods and Programs in Biomedicine 249, 108160, 2024
462024
Comparison of logistic regression and neural network classifiers in the detection of hard exudates in retinal images
M García, C Valverde, MI López, J Poza, R Hornero
2013 35th Annual International Conference of the IEEE Engineering in …, 2013
452013
Spatio-Temporal Fluctuations of Neural Dynamics in Mild Cognitive Impairment and Alzheimer's Disease
J Poza, C Gomez, M Garcia, M A Tola-Arribas, A Carreres, M Cano, ...
Current Alzheimer Research 14 (9), 924-936, 2017
422017
Automatic image processing algorithm to detect hard exudates based on mixture models
CI Sanchez, A Mayo, M Garcia, MI Lopez, R Hornero
2006 International Conference of the IEEE Engineering in Medicine and …, 2006
382006
An explainable deep-learning architecture for pediatric sleep apnea identification from overnight airflow and oximetry signals
J Jiménez-García, M García, GC Gutiérrez-Tobal, L Kheirandish-Gozal, ...
Biomedical Signal Processing and Control 87, 105490, 2024
342024
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