Documentos de A. E. Castro-Ospina | REDI

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Área temáticas: "Enfermedades"

Subtipo de publicación

Conference Object(8)

Publisher

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(5)

Communications in Computer and Information Science(1)

Communications in Nonlinear Science and Numerical Simulation(1)

Proceedings - International Conference on Pattern Recognition(1)

Área temáticas

Fisiología humana(7)

Medicina y salud(4)

Ciencias de la computación(2)

Física aplicada(2)

Cirugía y especialidades médicas afines(1)

Área de conocimiento

Aprendizaje automático(3)

Ciencias de la computación(2)

Enfermedad cardiovascular(2)

Análisis de datos(1)

Inteligencia artificial(1)

Año de Publicación

Origen

Palabras Claves

Machine learning(2)

Atrial Fibrillation(1)

Automatic classification(1)

Automatic segmentation(1)

Characterization and classification of intracardiac atrial fibrillation signals using the time-singularity multifractal spectrum distribution

Abstract: The analysis of intracardiac signals, or electrograms (EGM), is one of the most promising tools to g

Palabras claves:

Atrial Fibrillation, Multifractal spectrum, Nonlinear signal processing, Time-singularity multifractal spectrum distribution

A. E. Castro-Ospina, Orozco-Duque A., Urda-Benitez R.D.

Breast Lesion Discrimination Using Saliency Features from MRI Sequences and MKL-Based Classification

Conference Object

Abstract: Breast MRI interpretation requires that radiologists examine several images, depending on the acquis

Palabras claves:

Breast MRI, GBVS, Machine learning, MKL, Visual saliency

A. E. Castro-Ospina, Areiza-Laverde H.J., Díaz G.M., Duarte-Salazar C.a., Hernández M.L.

A kernel-based representation to support 3D MRI unsupervised clustering

Conference Object

Abstract: A new kernel-based image representation is proposed on this paper aiming to support clustering tasks

Palabras claves:

A. E. Castro-Ospina, Álvarez-Meza A.M., Cardenas-Pena D., Castellanos-Dominguez G., Orbes-Arteaga M.

Cardiac Murmur Effects on Automatic Segmentation of ECG Signals for Biometric Identification: Preliminary Study

Conference Object

Abstract: Biometric identification or authentication is a pattern recognition process, which is carried out ac

Palabras claves:

Automatic segmentation, biometric, Electrocardiographic signal, Heart murmur, pattern recognition

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-Montalvo

Case-based reasoning systems for medical applications with improved adaptation and recovery stages

Conference Object

Abstract: Case-Based Reasoning Systems (CBR) are in constant evolution, as a result, this article proposes imp

Palabras claves:

Cascade classification, Case-based reasoning, Preprocessing, probability

A. E. Castro-Ospina, D. Bastidas Torres, Diego Hernán Peluffo-Ordóñez, Miguel A. Becerra, Piñeros Rodriguez C., Xiomara P. Blanco-Valencia

Exploration of characterization and classification techniques for movement identification from EMG signals: Preliminary results

Conference Object

Abstract: Today, human-computer interfaces are increasingly more often used and become necessary for human dai

Palabras claves:

classification, EMG signals, Movements selection, Wavelet

A. E. Castro-Ospina, Diego Hernán Peluffo-Ordóñez, Javier E. Revelo-Fuelagán, Laura Daniela Lasso-Arciniegas, Miguel A. Becerra, Salazar-Castro J.A., Viveros-Melo A.

Electroencephalographic signals and emotional states for tactile pleasantness classification

Conference Object

Abstract: Haptic textures are alterations of any surface that are perceived and identified using the sense of

Palabras claves:

Electroencephalographic signal, Sensorial stimulus, Signal processing, Tactile pleasantness

A. E. Castro-Ospina, Cristian Mejía-Arboleda, Diego Hernán Peluffo-Ordóñez, Durango J., Londoño-Delgado E., Miguel A. Becerra, Pelaez-Becerra S.M.

Segment clustering for Holter recordings analysis

Conference Object

Abstract: In this work, an efficient non-supervised algorithm for clustering of ECG signals is presented. The

Palabras claves:

A. E. Castro-Ospina, Diego Hernán Peluffo-Ordóñez, López-Londoño D., Rodríguez-Sotelo J.L.

Radiomics-based differentiation of pleomorphic adenomas and Warthin tumors of salivary glands

Conference Object

Abstract: Pleomorphic adenomas (PA) and Warthin tumors (WT) are the most common salivary gland tumors. It exhi

Palabras claves:

Automatic classification, Machine learning, magnetic resonance imaging, Pleomorphic adenoma, Radiomics, Warthin tumor

A. E. Castro-Ospina, Areiza-Laverde H.J., Brea B., Díaz G.M., Malpica-González N.

Speckle Noise Reduction in Ultrasound Images for Improving the Metrological Evaluation of Biomedical applications: an Overview

Abstract: In recent years, many studies have examined filters for eliminating or reducing speckle noise, which

Palabras claves:

Diffusion filtering, image pre-processing, metrological evaluation, spatial filtering, speckle noise, ultrasound images, Wavelet filtering

A. E. Castro-Ospina, Delgadotrejos E., Duarte-Salazar C.a., Miguel A. Becerra