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An approach to coronary vessels detection in X-ray rotational angiography
Conference ObjectAbstract: An unsupervised clustering framework for automatic detection of coronary vessels in bidimensional (2Palabras claves:cardiac images, Coronary vessels, Rotational angiography equipment, segmentation, unsupervised clusteringAutores:Bedossa M., Bravo A.J., Garreau M., Le Breton H., Ruben Medina Molina, Toumoulin C.Fuentes:scopusAn automatic technique for left ventricle segmentation from msct cardiac volumes
Conference ObjectAbstract: In this research, an automatic technique to segment the left ventricle from the heart information inPalabras claves:Autores:Arellano J., Bravo A.J., Huerfano Y., Mar A.D., Ruben Medina Molina, Vera M.Fuentes:scopusAn 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 level-set segmentation approach for 4-D cardiac images
Conference ObjectAbstract: Cardiac diseases are one of the main causes of death in the World. This has motivated an important rPalabras claves:Left ventricle segmentation, Level SetsAutores:Garreau M., Marciales A., Ruben Medina MolinaFuentes:scopusA sparse based approach for detecting activations in fMRI
Conference ObjectAbstract: In this paper, we propose a simple approach for detecting activated voxels in fMRI data by exploitinPalabras claves:Autores:Guillen B., Paredes J.L., Ruben Medina MolinaFuentes:scopusDetecting Activation in fMRI Data: An Approach Based on Sparse Representation of BOLD Signal
ArticleAbstract: This paper proposes a simple yet effective approach for detecting activated voxels in fMRI data by ePalabras claves:Autores:Guillen B., Paredes J.L., Ruben Medina MolinaFuentes:scopusCurvature and torsion estimation for coronary-artery motion analysis
Conference ObjectAbstract: The dynamics of curvature and torsion are important for the geometric description of arteries and foPalabras claves:Arterial motion, Biplane angiography, Curvature, Intravascular ultrasound, torsionAutores:Olszewski M.E., Ruben Medina Molina, Sonka M., Wahle A.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:googlerraaescopus