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Jordi Gonzalez, X. Varona, Xavier Roca, & Juan J. Villanueva. (2003). A Human Action Comparison Framework for Motion Understanding.
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Fernando Vilariño, & Petia Radeva. (2003). Cardiac Segmentation with Discriminant Active Contours. (211–217). IOS Press.
Abstract: Dynamic tracking of heart moving is one relevant target in medical imag- ing and can be helpful for analyzing heart dynamics in the study of several cardiac diseases. For this aim, a previous segmentation problem of such structures is stated, based on certain relevant features (like edges or intensity levels, textures, etc.) Clas- sical active models have been used, but they fail when overlapping structures or not well-defined contours are present. Automatic feature learning systems may be a pow- erful tool. Discriminant active contours present optimal results in this kind of problem. They are a kind of deformable models that converge to an optimal object segmenta- tion that dynamically adapts to the object contour. The feature space is designed from a filter bank in order to guarantee the search and learning of the set of relevant fea- tures for optimal classification on each part of the object. Tracking of target evolution is obtained through the whole set of images, using information from the actual and previous stages. Feedback systems are implemented to guarantee the minimum well- separable classification set in each segmentation step. Our implementation has been proved with several series of Magnetic Resonance with improved results in segmenta- tion in comparison to previous methods.
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Cristina Cañero, Petia Radeva, M.Gomez, J. Mauri, E Fernandez-Nofrerias, O. Rodriguez-Leor, et al. (2002). Modelo experimental para la reconstruccion tridimensional de las arterias coronarias a partir de imagenes de coronariografia.
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Petia Radeva, Maya Dimitrova, Ch. Roumenin, David Rotger, D. Nikolov, & Juan J. Villanueva. (2004). Integration of Multiple Sensor Modalities in ActiveVessel Cardiology Workstation.
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Maya Dimitrova, I. Terziev, Petia Radeva, & Juan J. Villanueva. (2004). Java-Servlet Technology for Building New Web Document Classifiers.
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Maya Dimitrova, Petia Radeva, David Rotger, D. Boyadjiev, & Juan J. Villanueva. (2004). Advanced Cardiological Diagnosis via Intelligent Image Analysis.
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Xavier Baro, & Jordi Vitria. (2005). Feature Selection with Non-Parametric Mutual Information for Adaboost Learning.
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Alicia Fornes, Josep Llados, & Gemma Sanchez. (2005). Staff and graphical primitive segmentation in old handwritten music scores.
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Oriol Pujol, & Petia Radeva. (2006). Optimal extension of Error Correcting Output Codes.
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F. Pla, Petia Radeva, & Jordi Vitria. (2006). Pattern Recognition: Progress, Directions and Applications.
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Miquel Ferrer, F. Serratosa, & Ernest Valveny. (2007). On the Relation Between the Median Graph and the Maximum Common Subgraph of a Set of Graphs..
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Mikhail Mozerov, V. Kober, & I.A. Ovseyevich. (2007). Robust Dynamic Programming Algorithm for Motion Detection and Estimation.
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V. Kober, Mikhail Mozerov, Josue Albarez, & I.A. Ovseyevich. (2007). Algorithms for Impulse Noise Renoval from Corrupted Color Images.
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Josep Llados, W. Liu, & Jean-Marc Ogier. (2007). Seventh IAPR International Workshop on Graphics Recognition GREC 2007.
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Gemma Sanchez, Alicia Fornes, Joan Mas, & Josep Llados. (2007). Computer Vision Tools for Visually Impaired Children Learning.
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