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E. Ceron. (2000). Programacion visual de tareas de pick and place: modulo de vision 3D.
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M. Bressan. (2000). Independent modes of variation in Point Distribution models.
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Gemma Sanchez, Josep Llados, & K. Tombre. (2000). A mean string algorithm to compute the average among a set of 2D shapes.
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J. Mauri, E Fernandez-Nofrerias, E. Esplugas, A. Cequier, David Rotger, Ricardo Toledo, et al. (2000). Ecografia Intracoronaria: Navegacion Informatica por el cubo de datos de las imagenes..
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J. Mauri, E Fernandez-Nofrerias, Petia Radeva, & V. Valle. (2000). Ecografia intracoronaria, una ajuda o un mestre en lintervencionisme coronari?".
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Petia Radeva, & M. Scoccianti. (2000). 3D Reconstruction of Abdominal Aortic Aneurysm.
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J. Mauri, E. Esplugas, B. Garcia del Blanco, E Fernandez-Nofrerias, A. Cequier, J.A. Gomez-Hospital, et al. (2000). 3-D Stent and Vessel Reconstruction from IVUS: a Physics-Based Approach.
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X. Orriols, Andrew Willis, X. Binefa, & David B. Cooper. (2000). Bayesian estimation of axial symmetries from partial data, a generative model approach.
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Matthias S. Keil, & Gabriel Cristobal. (2000). Separating the chaff from the wheat: possible origins of the oblique effect. Journal of the Optical Society of America A – Optics, Image Science, and Vision, 17(4): 697–710 (IF: 1.481).
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Antonio Lopez, W. Niessen, Joan Serrat, K. Nikolay, B. Ter Haar Romeny, Juan J. Villanueva, et al. (2000). New improvements in the multiscale analysis of trabecular bone patterns. In Pattern Recognition and Applications (pp. 251–260). IOS Press.
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Debora Gil, Petia Radeva, Jordi Saludes, & Josefina Mauri. (2000). Automatic Segmentation of Artery Wall in Coronary IVUS Images: A Probabilistic Approach. In International Conference on Pattern Recognition (Vol. 4, pp. 352–355).
Abstract: Intravascular ultrasound images represent a unique tool to analyze the morphology of arteries and vessels (plaques, restenosis, etc). The poor quality of these images makes unsupervised segmentation based on traditional segmentation algorithms (such as edge or ridge/valley detection) fail to achieve the expected results. In this paper we present a probabilistic flexible template to separate different regions in the image. In particular, we use elliptic templates to model and detect the shape of the vessel inner wall in IVUS images. We present the results of successful segmentation obtained from patients undergoing stent treatment. A physician team has validated these results.
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Debora Gil, Petia Radeva, Jordi Saludes, & Josefina Mauri. (2000). Automatic Segmentation of Artery Wall in Coronary IVUS Images: a Probabilistic Approach. In Proceedings of CIC’2000. Cambridge, Massachussets.
Abstract: Intravascular ultrasound images represent a unique tool to analyze the morphology of arteries and vessels (plaques, restenosis, etc). The poor quality of these images makes unsupervised segmentation based on traditional segmentation algorithms (such as edge or ridge/valley detection) fail to achieve the expected results. In this paper we present a probabilistic flexible template to separate different regions in the image. In particular, we use elliptic templates to model and detect the shape of the vessel inner wall in IVUS images. We present the results of successful segmentation obtained from patients undergoing stent treatment. A physician team has validated these results.
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Jaime Lopez-Krahe, Josep Llados, & Enric Marti. (2000). Architectural Floor Plan Analysis (Robert B. Fisher, Ed.). University of Edinburgh.
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Josep Llados, Jaime Lopez-Krahe, Gemma Sanchez, & Enric Marti. (2000). Interprétation de cartes et plans par mise en correspondance de graphes de attributs. In 12 Congrès Francophone AFRIF–AFIA (Vol. 3, pp. 225–234).
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Josep Llados, Ernest Valveny, & Enric Marti. (2000). Symbol Recognition in Document Image Analysis: Methods and Challenges. Recent Research Developments in Pattern Recognition, Transworld Research Network,, 1, 151–178.
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