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Veredas, F.J.
Veredas, F.J.
Lenguajes y Ciencias de la Computación
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Title
Cited by
Cited by
Year
Binary tissue classification on wound images with neural networks and bayesian classifiers
F Veredas, H Mesa, L Morente
IEEE transactions on medical imaging 29 (2), 410-427, 2009
1632009
Wound image evaluation with machine learning
FJ Veredas, RM Luque-Baena, FJ Martín-Santos, JC Morilla-Herrera, ...
Neurocomputing 164, 112-122, 2015
892015
Transfer learning with convolutional neural networks for cancer survival prediction using gene-expression data
G Lopez-Garcia, JM Jerez, L Franco, FJ Veredas
PloS one 15 (3), e0230536, 2020
802020
Methionine residues around phosphorylation sites are preferentially oxidized in vivo under stress conditions
FJ Veredas, FR Cantón, JC Aledo
Scientific Reports 7 (1), 40403, 2017
642017
Effectiveness of an e‐learning tool for education on pressure ulcer evaluation
L Morente, JM Morales‐Asencio, FJ Veredas
Journal of clinical nursing 23 (13-14), 2043-2052, 2014
632014
Automatic design synthesis with artificial intelligence techniques
FJ Vico, FJ Veredas, JM Bravo, J Almaraz
Artificial intelligence in Engineering 13 (3), 251-256, 1999
501999
Sulphur atoms from methionines interacting with aromatic residues are less prone to oxidation
JC Aledo, FR Cantón, FJ Veredas
Scientific reports 5 (1), 16955, 2015
452015
A machine learning approach for predicting methionine oxidation sites
JC Aledo, FR Cantón, FJ Veredas
Bmc Bioinformatics 18, 1-14, 2017
352017
Efficient detection of wound-bed and peripheral skin with statistical colour models
FJ Veredas, H Mesa, L Morente
Medical & biological engineering & computing 53, 345-359, 2015
322015
A web-based e-learning application for wound diagnosis and treatment
FJ Veredas, E Ruiz-Bandera, F Villa-Estrada, JF Rufino-González, ...
Computer methods and programs in biomedicine 116 (3), 236-248, 2014
282014
Factors determining the precision of the correlated firing generated by a monosynaptic connection in the cat visual pathway
FJ Veredas, FJ Vico, JM Alonso
The Journal of Physiology 567 (3), 1057-1078, 2005
282005
Transformers for clinical coding in spanish
G López-García, JM Jerez, N Ribelles, E Alba, FJ Veredas
IEEE Access 9, 72387-72397, 2021
262021
A hybrid learning approach to tissue recognition in wound images
FJ Veredas, H Mesa, L Morente
International Journal of Intelligent Computing and Cybernetics 2 (2), 327-347, 2009
122009
Explainable clinical coding with in-domain adapted transformers
G López-García, JM Jerez, N Ribelles, E Alba, FJ Veredas
Journal of Biomedical Informatics 139, 104323, 2023
92023
A hybrid approach for tissue recognition on wound images
H Mesa, FJ Veredas, L Morente
2008 Eighth International Conference on Hybrid Intelligent Systems, 120-125, 2008
92008
Combining feature engineering and feature selection to improve the prediction of methionine oxidation sites in proteins
FJ Veredas, D Urda, JL Subirats, FR Cantón, JC Aledo
Neural Computing and Applications 32 (2), 323-334, 2020
72020
A transfer-learning approach to feature extraction from cancer transcriptomes with deep autoencoders
G López-García, JM Jerez, L Franco, FJ Veredas
Advances in Computational Intelligence: 15th International Work-Conference …, 2019
72019
BLASSO: integration of biological knowledge into a regularized linear model
D Urda, F Aragón, R Bautista, L Franco, FJ Veredas, MG Claros, JM Jerez
BMC Systems Biology 12, 13-26, 2018
72018
Tissue recognition approach to pressure ulcer area estimation with neural networks
FJ Veredas, H Mesa, L Morente
International Work-Conference on Artificial Neural Networks, 1045-1052, 2009
72009
Deep neural networks architecture driven by problem-specific information
D Urda, FJ Veredas, J González-Enrique, JJ Ruiz-Aguilar, JM Jerez, ...
Neural Computing and Applications 33 (15), 9403-9423, 2021
62021
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