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Bregman divergences for growing hierarchical self-organizing networks
ArticleAbstract: Growing hierarchical self-organizing models are characterized by the flexibility of their structure,Palabras claves:Bregman divergences, Classification, Self-Organization, VisualizationAutores:Domínguez E., Esteban José Palomo, López-Rubio E.Fuentes:scopusDynamic topology learning with the probabilistic self-organizing graph
ArticleAbstract: Self-organizing neural networks are usually focused on prototype learning, while the topology is helPalabras claves:Classification, Image quantization, image segmentation, Self-Organization, unsupervised learning, VisualizationAutores:Carmen Vargas-González M., Esteban José Palomo, López-Rubio E., Miguel Ortiz-de-Lazcano-Lobato J., Ortiz-de-Lazcano-Lobato J.M.Fuentes:scopusGrowing hierarchical probabilistic self-organizing graphs
ArticleAbstract: Since the introduction of the growing hierarchical self-organizing map, much work has been done on sPalabras claves:Classification, Hierarchical self-organization, unsupervised learning, Visualization, Web miningAutores:Esteban José Palomo, López-Rubio E.Fuentes:scopusCADICA: A new dataset for coronary artery disease detection by using invasive coronary angiography
ArticleAbstract: Coronary artery disease (CAD) remains the leading cause of death globally and invasive coronary angiPalabras claves:cardiovascular artery disease, Classification, Deep learning, invasive coronary angiography dataset, Medical imagesAutores:Ana I. Molina-Ramos, Esteban José Palomo, Jiménez-Navarro M., Jimenez-Partinen A., Molina-Cabello M.A., Rodríguez-Capitán J., Thurnhofer-Hemsi K.Fuentes:scopusCoronary Artery Disease Classification With Different Lesion Degree Ranges Based on Deep Learning
ArticleAbstract: Invasive Coronary Angiography (ICA) images are considered the gold standard for assessing the statePalabras claves:Classification, Deep learning, Invasive coronary angiography, Medical imagesAutores:Ana I. Molina-Ramos, Esteban José Palomo, Jimenez-Partinen A., Rodríguez-Capitán J., Thurnhofer-Hemsi K.Fuentes:scopusDeep Learning-Based Classification of Invasive Coronary Angiographies with Different Patch-Generation Techniques
OtherAbstract: Medical imaging is one of the areas where computer-aided diagnosis could improve the efficiency of dPalabras claves:Classification, Convolutional neural network, Deep learning, Invasive coronary angiography, Sliding window techniqueAutores:Ana I. Molina-Ramos, Esteban José Palomo, Jimenez-Partinen A., Rodríguez-Capitán J., Thurnhofer-Hemsi K.Fuentes:scopus