Mostrando 10 resultados de: 30
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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(12)
Communications in Computer and Information Science(7)
2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014(1)
2015 20th Symposium on Signal Processing, Images and Computer Vision, STSIVA 2015 - Conference Proceedings(1)
2016 21st Symposium on Signal Processing, Images and Artificial Vision, STSIVA 2016(1)
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Fisiología humana(12)
Ciencias de la computación(10)
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Medicina y salud(4)
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Aprendizaje automático(15)
Ciencias de la computación(12)
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A kernel-based representation to support 3D MRI unsupervised clustering
Conference ObjectAbstract: A new kernel-based image representation is proposed on this paper aiming to support clustering tasksPalabras claves:Autores:A. E. Castro-Ospina, Álvarez-Meza A.M., Cardenas-Pena D., Castellanos-Dominguez G., Orbes-Arteaga M.Fuentes:scopusA novel method for objective selection of information sources using multi-kernel SVM and local scaling
ArticleAbstract: Advancement on computer and sensing technologies has generated exponential growth in the data availaPalabras claves:Machine learning, Multimodality, multiple kernel learning, Source selection, SUPPORT VECTOR MACHINESAutores:A. E. Castro-Ospina, Areiza-Laverde H.J., Díaz G.M., Hernández M.L.Fuentes:scopusCharacterization and classification of intracardiac atrial fibrillation signals using the time-singularity multifractal spectrum distribution
ArticleAbstract: The analysis of intracardiac signals, or electrograms (EGM), is one of the most promising tools to gPalabras claves:Atrial Fibrillation, Multifractal spectrum, Nonlinear signal processing, Time-singularity multifractal spectrum distributionAutores:A. E. Castro-Ospina, Orozco-Duque A., Urda-Benitez R.D.Fuentes:scopusCharacterizing ResNet Filters to Identify Positive and Negative Findings in Breast MRI Sequences
Conference ObjectAbstract: Training of deep learning models requires large and properly labeled datasets, which make unfeasiblePalabras claves:Breast Cancer, Deep feature selection, multiple kernel learning, ResNet, Transfer learningAutores:A. E. Castro-Ospina, Díaz G.M., Hernández M.L., Marín-Castrillón D.M., Osorno-Castillo K.Fuentes:scopusBreast Lesion Discrimination Using Saliency Features from MRI Sequences and MKL-Based Classification
Conference ObjectAbstract: Breast MRI interpretation requires that radiologists examine several images, depending on the acquisPalabras claves:Breast MRI, GBVS, Machine learning, MKL, Visual saliencyAutores:A. E. Castro-Ospina, Areiza-Laverde H.J., Díaz G.M., Duarte-Salazar C.a., Hernández M.L.Fuentes:scopusAnalysis of motor imaginary BCI within multi-environment scenarios using a mixture of classifiers
Conference ObjectAbstract: Brain-computer interface (BCI) is a system that provides communication between human beings and machPalabras claves:Brain-Computer Interface, ENVIRONMENTS, Mixture of classifiers, Signal processingAutores:A. E. Castro-Ospina, Diego Hernán Peluffo-Ordóñez, Marín-Castrillón D.M., Miguel A. Becerra, Moreno-Revelo M.Y., Ortega-Adarme M.Fuentes:scopusCardiac Murmur Effects on Automatic Segmentation of ECG Signals for Biometric Identification: Preliminary Study
Conference ObjectAbstract: Biometric identification or authentication is a pattern recognition process, which is carried out acPalabras claves:Automatic segmentation, biometric, Electrocardiographic signal, Heart murmur, pattern recognitionAutores:A. E. Castro-Ospina, Camilo Zapata-Hernandez, Carolina M. Duque-Mejía, Cristian Mejía-Arboleda, Delgadotrejos E., Diego Hernán Peluffo-Ordóñez, Javier E. Revelo-Fuelagán, Miguel A. Becerra, Paul D. Rosero-MontalvoFuentes:scopusCardiac pulse modeling using a modified van der Pol oscillator and genetic algorithms
Conference ObjectAbstract: This paper proposes an approach for modeling cardiac pulses from electrocardiographic signals (ECG).Palabras claves:Autores:A. E. Castro-Ospina, Antonio Acosta, Arciniegas-Mejía A.F., Diego Hernán Peluffo-Ordóñez, Imbajoa-Ruiz D.E., Lopez-Chamorro F., Paul D. Rosero-Montalvo, Pedro GarcíaFuentes:scopusCase-based reasoning systems for medical applications with improved adaptation and recovery stages
Conference ObjectAbstract: Case-Based Reasoning Systems (CBR) are in constant evolution, as a result, this article proposes impPalabras claves:Cascade classification, Case-based reasoning, Preprocessing, probabilityAutores:A. E. Castro-Ospina, D. Bastidas Torres, Diego Hernán Peluffo-Ordóñez, Miguel A. Becerra, Piñeros Rodriguez C., Xiomara P. Blanco-ValenciaFuentes:scopusAdaptation and Recovery Stages for Case-Based Reasoning Systems Using Bayesian Estimation and Density Estimation with Nearest Neighbors
Conference ObjectAbstract: When searching for better solutions that improve the medical diagnosis accuracy, Case-Based reasoninPalabras claves:Bayes, Case-based reasoning, classification, Parametric, probabilityAutores:A. E. Castro-Ospina, D. Bastidas Torres, Diego Hernán Peluffo-Ordóñez, Javier E. Revelo-Fuelagán, Leandro L. Lorente-Leyva, Miguel A. Becerra, Piñeros Rodriguez C., Xiomara P. Blanco-ValenciaFuentes:scopus