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Francisco J. Veredas

Observed names: F. J. Veredas, F. Veredas, F.J Veredas, F.J. Veredas, Francisco J. Veredas, Francisco J Veredas, Francisco Javier Veredas Navarro, Francisco Veredas, Ortega-Zamorano, Francisco, Veredas, Francisco, Veredas, Francisco J.
ORCID: 0000-0003-0739-2505
Observed ORCID: 0000-0003-0739-2505
OpenAlex ID: A5067194140
Binary Tissue Classification on Wound Images With Neural Networks and Bayesian Classifiers
2009 · F. Veredas, H. Mesa, et al. · IEEE Transactions on Medical Imaging · 145
Transfer learning with convolutional neural networks for cancer survival prediction using gene-expression data
2020 · Guillermo López-García, José M. Jerez, et al. · PLoS ONE · 110
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Wound image evaluation with machine learning
2015 · Francisco J. Veredas, Rafael M. Luque-Baena, et al. · Neurocomputing · 96
Methionine residues around phosphorylation sites are preferentially oxidized in vivo under stress conditions
2017 · Francisco J. Veredas, Francisco R. Cantón, et al. · Scientific Reports · 69
Effectiveness of an e‐learning tool for education on pressure ulcer evaluation
2013 · Laura Morente, José M Morales‐Asencio, et al. · Journal of Clinical Nursing · 61
Sulphur Atoms from Methionines Interacting with Aromatic Residues Are Less Prone to Oxidation
2015 · Juan C. Aledo, Francisco R. Cantón, et al. · Scientific Reports · 53
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Transformers for Clinical Coding in Spanish
2021 · Guillermo Lopez-Garcia, Jose M. Jerez, et al. · IEEE Access · 38
A machine learning approach for predicting methionine oxidation sites
2017 · Juan C. Aledo, Francisco R. Cantón, et al. · BMC Bioinformatics · 35
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Efficient detection of wound-bed and peripheral skin with statistical colour models
2015 · Francisco J. Veredas, Héctor Mesa, et al. · Medical & Biological Engineering & Computing · 33
Automatic design synthesis with artificial intelligence techniques
1999 · F.J Vico, F.J Veredas, et al. · Artificial Intelligence in Engineering · 25
Explainable clinical coding with in-domain adapted transformers
2023 · Guillermo López-García, José M. Jerez, et al. · Journal of Biomedical Informatics · 23
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A web-based e-learning application for wound diagnosis and treatment
2014 · Francisco J. Veredas, Esperanza Ruiz-Bandera, et al. · Computer Methods and Programs in Biomedicine · 23
Factors determining the precision of the correlated firing generated by a monosynaptic connection in the cat visual pathway
2005 · Francisco J. Veredas, Francisco J. Vico, et al. · The Journal of Physiology · 21
ClinLinker: Medical Entity Linking of Clinical Concept Mentions in Spanish
2024 · Fernando Gallego, Guillermo López-García, et al. · Lecture notes in computer science · 13
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Enhancing cross-encoders using knowledge graph hierarchy for medical entity linking in zero- and few-shot scenarios
2025 · Fernando Gallego, Pedro Ruas, et al. · Knowledge-Based Systems · 11
Deep neural networks architecture driven by problem-specific information
2021 · Daniel Urda, Francisco J. Veredas, et al. · Neural Computing and Applications · 11
A hybrid learning approach to tissue recognition in wound images
2009 · Francisco J. Veredas, Héctor Mesa, et al. · International Journal of Intelligent Computing and Cybernetics · 11
Detection of Tumor Morphology Mentions in Clinical Reports in Spanish Using Transformers
2021 · Guillermo López-García, José M. Jerez, et al. · Lecture notes in computer science · 10
Multi-Omic Advances in Olive Tree (Olea europaea subsp. europaea L.) Under Salinity: Stepping Towards ‘Smart Oliviculture’
2025 · M. Gonzalo Claros, Amanda Bullones, et al. · Biology · 8
ICB-UMA at CANTEMIST 2020: Automatic ICD-O Coding in Spanish with BERT.
2020 · Guillermo López-García, José M. Jerez, et al. · IberLEF@SEPLN · 8
A Transfer-Learning Approach to Feature Extraction from Cancer Transcriptomes with Deep Autoencoders
2019 · Guillermo López-García, José M. Jerez, et al. · Lecture notes in computer science · 8
BLASSO: integration of biological knowledge into a regularized linear model
2018 · Daniel Urda, Francisco Aragón, et al. · BMC Systems Biology · 8
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Combining feature engineering and feature selection to improve the prediction of methionine oxidation sites in proteins
2018 · Francisco J. Veredas, Daniel Urda, et al. · Neural Computing and Applications · 8
Prediction of Protein Oxidation Sites
2017 · Francisco J. Veredas, Francisco R. Cantón, et al. · Lecture notes in computer science · 7
A Hybrid Approach for Tissue Recognition on Wound Images
2008 · Héctor Mesa, Francisco J. Veredas, et al. · International Conference on Hybrid Intelligent Systems (HIS) · 7
Works count: 67
Citation count: 914
H-index: 13
I10-index: 18
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