| 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 | 168 | 2009 |
| Wound image evaluation with machine learning FJ Veredas, RM Luque-Baena, FJ Martín-Santos, JC Morilla-Herrera, ... Neurocomputing 164, 112-122, 2015 | 96 | 2015 |
| 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 | 85 | 2020 |
| 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 | 69 | 2014 |
| 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 | 66 | 2017 |
| Automatic design synthesis with artificial intelligence techniques FJ Vico, FJ Veredas, JM Bravo, J Almaraz Artificial intelligence in Engineering 13 (3), 251-256, 1999 | 50 | 1999 |
| 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 | 49 | 2015 |
| A machine learning approach for predicting methionine oxidation sites JC Aledo, FR Cantón, FJ Veredas Bmc Bioinformatics 18, 1-14, 2017 | 36 | 2017 |
| 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 | 34 | 2015 |
| Transformers for clinical coding in Spanish G López-García, JM Jerez, N Ribelles, E Alba, FJ Veredas IEEE Access 9, 72387-72397, 2021 | 29 | 2021 |
| 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 | 28 | 2014 |
| 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 | 28 | 2005 |
| 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 | 12 | 2009 |
| 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 | 11 | 2023 |
| 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 | 10 | 2008 |
| 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 | 7 | 2020 |
| 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 | 7 | 2019 |
| 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 | 7 | 2018 |
| 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 | 7 | 2009 |
| 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 | 6 | 2021 |
Francisco J. VicoProfessor of Computer Science在 uma.es 的电子邮件经过验证
