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VISAPP 2010 - Proceedings of the International Conference on Computer Vision Theory and Applications(2)
Communications in Computer and Information Science(1)
Computerized Medical Imaging and Graphics(1)
Computers in Biology and Medicine(1)
IEEE Latin America Transactions(1)
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Fisiología humana(9)
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An unsupervised clustering framework for automatic segmentation of left ventricle cavity in human heart angiograms
ArticleAbstract: Cardiac function is routinely assessed from X-rays angiograms acquired at the cardiac catheterizatioPalabras claves:Cardiac function, cardiac images, Human heart, Left ventricle, segmentation, unsupervised clusteringAutores:Bravo A.J., 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 hybrid boundary-region left ventricle segmentation in computed tomography
Conference ObjectAbstract: An automatic approach based on the generalized Hough transform (GHT) and unsupervised clustering tecPalabras claves:cardiac images, Generalized Hough transform, Left ventricle, mathematical morphology, segmentation, unsupervised clusteringAutores:Avila J., Bravo A.J., Clemente J., Ruben Medina Molina, Vera M.Fuentes:scopusDeformable parametric model for left ventricle wall motion simulation
Conference ObjectAbstract: In this paper, 3-D left ventricle (LV) shapes extracted from the visual human database (VHD) are aniPalabras claves:Animation, Free-Form Deformation, Left ventricle, Radial contraction index, Torsion index, Visual Human DatabaseAutores:Bravo A.J., Garreau M., Passariello G., Ruben Medina MolinaFuentes: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:googlerraaescopusEdge 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:scopusMyocardial border detection from ventriculograms using support vector machines and real-coded genetic algorithms
ArticleAbstract: In this research a two step method for left ventricle segmentation based on landmark detection and ePalabras claves:Anatomical landmarks, Deformable models, Human heart, Left ventricle, Myocardial border, Patterns classification, Real-coded genetic algorithms, Support vectors machinesAutores:Bravo A.J., Ruben Medina Molina, Vera M.Fuentes:scopusImproving 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:scopusInferring the left ventricle dynamical behavior using a free-form deformations model
ArticleAbstract: A computational 4D (3D + time) model for simulating the dynamical shape of the left ventricle (LV) bPalabras claves:Free-Form Deformation, Left ventricle, SimulationAutores:Bravo A.J., Garreau M., Passariello G., Ruben Medina MolinaFuentes:scopusUsing morphological and clustering analysis for left ventricle detection in msct cardiac images
Conference ObjectAbstract: In this paper, an unsupervised approach based on non-linear filtering and region growing techniquesPalabras claves:cardiac images, Human heart, Left ventricle, mathematical morphology, segmentation, unsupervised clusteringAutores:Bravo A.J., Clemente J., Ruben Medina MolinaFuentes:scopus