Adrián Colomer Granero
Title
Cited by
Cited by
Year
Retinal disease screening through local binary patterns
S Morales, K Engan, V Naranjo, A Colomer
IEEE journal of biomedical and health informatics 21 (1), 184-192, 2015
642015
Consumer neuroscience-based metrics predict recall, liking and viewing rates in online advertising
J Guixeres, E Bigné, JM Ausin Azofra, M Alcañiz Raya, ...
Frontiers in psychology 8, 1808, 2017
602017
A multi-organ nucleus segmentation challenge
N Kumar, R Verma, D Anand, Y Zhou, OF Onder, E Tsougenis, H Chen, ...
IEEE transactions on medical imaging 39 (5), 1380-1391, 2019
462019
A comparison of physiological signal analysis techniques and classifiers for automatic emotional evaluation of audiovisual contents
A Colomer Granero, F Fuentes-Hurtado, V Naranjo Ornedo, ...
Frontiers in computational neuroscience 10, 74, 2016
41*2016
Retinal image synthesis and semi-supervised learning for glaucoma assessment
A Diaz-Pinto, A Colomer, V Naranjo, S Morales, Y Xu, AF Frangi
IEEE transactions on medical imaging 38 (9), 2211-2218, 2019
342019
First-stage prostate cancer identification on histopathological images: Hand-driven versus automatic learning
G García, A Colomer, V Naranjo
Entropy 21 (4), 356, 2019
112019
Detection of early signs of diabetic retinopathy based on textural and morphological information in fundus images
A Colomer, J Igual, V Naranjo
Sensors 20 (4), 1005, 2020
102020
Assessment of sparse-based inpainting for retinal vessel removal
A Colomer, V Naranjo, K Engan, K Skretting
Signal Processing: Image Communication 59, 73-82, 2017
92017
Retinal Diseases Characterization using Fractal Analysis
A Colomer, V Naranjo, T Janvier
Mathematical Modelling in Engineering & Human Behaviour 2016. 18th Edition …, 2016
9*2016
Evaluation of fractal dimension effectiveness for damage detection in retinal background
A Colomer, V Naranjo, T Janvier, JM Mossi
Journal of Computational and Applied Mathematics 337, 341-353, 2018
82018
A new optical density granulometry-based descriptor for the classification of prostate histological images using shallow and deep Gaussian processes
ÁE Esteban, M López-Pérez, A Colomer, MA Sales, R Molina, V Naranjo
Computer methods and programs in biomedicine 178, 303-317, 2019
72019
Going deeper through the Gleason scoring scale: An automatic end-to-end system for histology prostate grading and cribriform pattern detection
J Silva-Rodríguez, A Colomer, MA Sales, R Molina, V Naranjo
Computer Methods and Programs in Biomedicine 195, 105637, 2020
62020
Detection of diabetic retinopathy and age-related macular degeneration from fundus images through local binary patterns and random forests
S Morales, K Engan, V Naranjo, A Colomer
2015 IEEE International Conference on Image Processing (ICIP), 4838-4842, 2015
62015
Computer aid-system to identify the first stage of prostate cancer through deep-learning techniques
JG García, A Colomer, F López-Mir, JM Mossi, V Naranjo
2019 27th European Signal Processing Conference (EUSIPCO), 1-5, 2019
52019
Identification of individual glandular regions using lcwt and machine learning techniques
JG García, A Colomer, V Naranjo, F Peñaranda, MÁ Sales
International Conference on Intelligent Data Engineering and Automated …, 2018
52018
Colour normalization of fundus images based on geometric transformations applied to their chromatic histogram
A Colomer, V Naranjo, J Angulo
2017 IEEE International Conference on Image Processing (ICIP), 3135-3139, 2017
52017
Detección de glaucoma mediante la combinación de la relación copa/disco y la regla ISNT
B Rodrigo, S Morales, V Naranjo, A Colomer, M Alcañiz
XXXII Congreso Anual de la Sociedad Española de Ingeniería Biomédica (CASEIB …, 2014
52014
Biosignal Analysis for Advertisment Evaluation
A Colomer, V Naranjo, J Guixeres, JM Ausín, M Alcañiz
XXIX Simposium Nacional de la Unión Científica Internacional de Radio (URSI …, 2014
52014
Granulometry-based descriptor for pathological tissue discrimination in histopathological images
ÁE Esteban, A Colomer, V Naranjo, MÁ Sales
2018 25th IEEE International Conference on Image Processing (ICIP), 1413-1417, 2018
42018
WeGleNet: A weakly-supervised convolutional neural network for the semantic segmentation of Gleason grades in prostate histology images
J Silva-Rodríguez, A Colomer, V Naranjo
Computerized Medical Imaging and Graphics 88, 101846, 2021
22021
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Articles 1–20