Mostrando 10 resultados de: 17
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Communications in Computer and Information Science(2)
Proceedings of SPIE - The International Society for Optical Engineering(2)
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS(2)
2015 20th Symposium on Signal Processing, Images and Computer Vision, STSIVA 2015 - Conference Proceedings(1)
2017 IEEE 2nd Ecuador Technical Chapters Meeting, ETCM 2017(1)
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Enfermedades(13)
Medicina y salud(10)
Fisiología humana(6)
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Ciencias de la computación(3)
Classification of LV wall motion in cardiac MRI using kernel Dictionary Learning with a parametric approach
Conference ObjectAbstract: In this paper, we propose a parametric approach for the assessment of wall motion in Left VentriclePalabras claves:Autores:Bellanger J., Donal E., Garreau M., Leclercq C., Mantilla J., Paredes J.L., Ruben Medina MolinaFuentes:scopus2-D segmentation of left ventricle in magnetic resonance images based on an optical flow algorithm
Conference ObjectAbstract: The optical flow enables the accurate estimation of cardiac motion. In this research, this tool is ePalabras claves:Left ventricle, optical flow, segmentationAutores:Garreau M., Ibarra E., Ruben Medina MolinaFuentes:scopusA 2-D active appearance model for prostate segmentation in ultrasound images
Conference ObjectAbstract: In this research we use an active appearance model (AAM) as the core of a robust segmentation algoriPalabras claves:Autores:Bravo A.J., Onik G.M., Ruben Medina Molina, Toro J.G., Windyga P.S., Yan P.Fuentes:scopusCardiac Motion Estimation in Magnetic Resonance Images Using Optical Flow
ArticleAbstract: This paper reports an optical based method for quantification of cardiac motion in MRI images. The cPalabras claves:Cardiac motion, Left ventricle, magnetic resonance imaging, Medical Imaging, optical flow, Sparse methodsAutores:Ibarra E., Pablo Vanegas Peralta, Ruben Medina Molina, Villie MorochoFuentes:googlerraaescopusAccuracy of connected confidence left ventricle segmentation in 3-D multi-slice computerized tomography images
Conference ObjectAbstract: Cardiovascular diseases are the main cause of death in the World. This fact has motivated differentPalabras claves:Connected confidence, Left ventricle segmentation, Multi-slice computerized tomography, Software platformAutores:Ruben Medina Molina, Sebastian Bautista, Villie MorochoFuentes:scopusDescription and Use of Three-Dimensional Numerical Phantoms of Cardiac Computed Tomography Images
ArticleAbstract: The World Health Organization indicates the top cause of death is heart disease. These diseases canPalabras claves:Artifacts, cardiac dataset, numerical phantoms, Poisson noise, processing techniquesAutores:Bravo A.J., Ruben Medina Molina, Vera M.Fuentes:scopusEdge detection in ventriculograms using support vector machine classifiers and deformable models
Conference ObjectAbstract: In this paper a left ventricle (LV) contour detection method is described. The method works from anPalabras claves:Anatomical landmarks, Deformable models, edge detection, Left ventricle, SUPPORT VECTOR MACHINESAutores:Bravo A.J., Ruben Medina Molina, Vera M.Fuentes:scopusHepatic Steatosis detection using the co-occurrence matrix in tomography and ultrasound images
Conference ObjectAbstract: Hepatic Steatosis (HS) or Fatty Liver is a disease due to fat accumulation within hepatocytes. ThisPalabras claves:Autores:Benitez A., Moreno F., Pablo Vanegas Peralta, Rivas E.C., Ruben Medina Molina, Villie MorochoFuentes:rraaescopusImproving ventricle detection in 3-D cardiac multislice computerized tomography images
Conference ObjectAbstract: This paper reports a segmentation approach that enables detection of left ventricle in three-dimensiPalabras claves:cardiac images, Generalized Hough transform, Left ventricle, mathematical morphology, Multi-slice computerized tomography, segmentation, unsupervised clusteringAutores:Bravo A.J., Ruben Medina Molina, Vera M.Fuentes:scopusLeft ventricle myocardium segmentation in multi-slice computerized tomography
Conference ObjectAbstract: This paper briefly describes a left ventricle myocardium segmentation method in multi-slice computerPalabras claves:Autores:Pablo Vanegas Peralta, Ruben Medina Molina, Sebastian Bautista, Villie MorochoFuentes:scopus