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David Guillamet, & Jordi Vitria. (2001). Non-negative Matrix Factorization to Extract Part-Based Representations..
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David Guillamet, & Jordi Vitria. (2000). A Comparison of Local versus Global Color Histograms for Object Recognition..
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David Guillamet, & Jordi Vitria. (2000). Local Discriminant Regions Using Support Vector Machines for Object Recognition..
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David Guillamet, & Jordi Vitria. (1999). Skin segmentation using non linear principal component analysis..
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David Guillamet, & Jordi Vitria. (1999). Using Eigenspace analysis of color distributions for object recognition.
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David Guillamet, B. Shiele, & Jordi Vitria. (2002). Analyzing Non-negative Matrix Factorization for Image Classification..
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Carlo Gatta, Oriol Pujol, O. Rodriguez-Leor, Josefina Mauri, & Petia Radeva. (2008). Improved Rigid Registration of Vessel Structures using the Fast Radial Symmetry Transform. In Computer Vision for Intravascular Imaging CVII’08 Workshop Medical Image Computing and Computer–Assisted Intervention , 11th International Conference (128–136).
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Carlo Gatta, Oriol Pujol, O. Rodriguez-Leor, J. Mauri, & Petia Radeva. (2008). Robust Image-based IVUS Pullbacks Gating. In Proceedings 11th International ConferenceMedical Image Computing and Computer–Assisted Intervention (Vol. 5242, 518–525). LNCS.
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Carlo Gatta, Oriol Pujol, O. Rodriguez-Leor, J. M. Ferre, & Petia Radeva. (2009). Fast Rigid Registration of Vascular Structures in IVUS Sequences. IEEE Transactions on Information Technology in Biomedicine, 13(6), 106–1011.
Abstract: Intravascular ultrasound (IVUS) technology permits visualization of high-resolution images of internal vascular structures. IVUS is a unique image-guiding tool to display longitudinal view of the vessels, and estimate the length and size of vascular structures with the goal of accurate diagnosis. Unfortunately, due to pulsatile contraction and expansion of the heart, the captured images are affected by different motion artifacts that make visual inspection difficult. In this paper, we propose an efficient algorithm that aligns vascular structures and strongly reduces the saw-shaped oscillation, simplifying the inspection of longitudinal cuts; it reduces the motion artifacts caused by the displacement of the catheter in the short-axis plane and the catheter rotation due to vessel tortuosity. The algorithm prototype aligns 3.16 frames/s and clearly outperforms state-of-the-art methods with similar computational cost. The speed of the algorithm is crucial since it allows to inspect the corrected sequence during patient intervention. Moreover, we improved an indirect methodology for IVUS rigid registration algorithm evaluation.
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David Guillamet, B. Moghaddam, & Jordi Vitria. (2003). Higher-Order Dependencies in Local Appearance Models.
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David Guillamet, B. Moghaddam, & Jordi Vitria. (2003). Modeling High-Order Dependencies in Local Appearance Models.
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M.Gomez, J.Mauri, E.Fernandez-Nofrerias, O.Rodriguez-Leor, C.Julia, Oriol Pujol, et al. (2002). Diferenciacion de las estructuras del vaso coronario mediante el procesamiento de imagenes y el analisis de las diferentes texturas a partir de la ecografia intracoronaria. XXXVIII Congreso Nacional de la Sociedad Española de Cardiologia.
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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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M.Gomez, J.Mauri, E.Fernandez-Nofrerias, O.Rodriguez-Leor, C.Julia, Petia Radeva, et al. (2002). Nuevos Avances para la correlacion de imagenes angiograficas y de ecograia intracoronaria..
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M.Gomez, J.Mauri, E.Fernandez-Nofrerias, O. Rodriguez-Leor, C Julia, Misael Rosales, et al. (2002). Modelo fisico para la simulacion de ultrasonido Intravascular. XXXVIII Congreso Nacional de la Sociedad Española de Cardiologia..
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