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Petia Radeva. (1993). A Rule-Based Approach to Hand X-Ray image Segmentation..
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Antonio Lopez, David Lloret, Joan Serrat, & Juan J. Villanueva. (2000). Multilocal Creaseness Based on the Level-Set Extrinsic Curvarture..
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Petia Radeva. (1993). Segmentacion de Imagenes Radiograficas con Snakes. Aplicacion a la Determinacion de la Madurez Osea..
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V. Valev, & Petia Radeva. (1993). On the Determining of Non-Reducible Descriptors for Multidimensional Pattern Recognition Problems..
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Xavier Roca, & Jordi Vitria. (1993). Multiscale Structure Extraction using Morphological Tools. Applications to Edge Detection..
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D. Rincon, E. Frumento, R. Fogliardi, & M. Angel Viñas. (2000). Carmen/Carolin: Description and Results of an International Experience of Telemedicine..
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Maria Vanrell, & Jordi Vitria. (1993). Mathematical Morphology, Granulometries and Texture Perception..
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F. de la Torre, Jordi Vitria, Petia Radeva, & J. Melenchon. (2000). EigenFiltering for flexible Eigentracking..
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J.M. Sanchez, & X. Binefa. (1999). Automatic digital TV commercial recognition..
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David Lloret, & Derek L.G. Hill. (1999). System for live fusion of 2-D ultrasound scans to pre-interventional MR volumes of a patient..
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Josep Llados, & Enric Marti. (1999). A graph-edit algorithm for hand-drawn graphical document recognition and their automatic introduction into CAD systems..
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David Lloret, Antonio Lopez, Joan Serrat, & Juan J. Villanueva. (1999). Creaseness-based computer tomography and magnetic resonance registration: Comparison with the mutual information method..
Abstract: This paper describes a method which uses the skull as a landmark for automatic registration of computer tomography to magnetic resonance (MR) images. First, the skull is extracted from both images using a new creaseness operator. Then, the resulting creaseness images are used to build a hierarchic structure which permits a robust and fast search. We have justified experimentally the performance of several choices of our algorithm, and we have thoroughly tested its accuracy and robustness against the well-known mutual information method for five different pairs of images. We have found both comparable, and for certain MR images the proposed method achieves better performance.
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C. Mariño, V.M. Gulias, M.G. Penas, M. Penedo, Victor Leboran, A. Mosquera, et al. (2001). Sistema de Interpretacion Automatica de Secuencias solo Basado en un Servidor vod..
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C. Mariño, M.G. Penas, M. Penedo, David Lloret, & M.J. Carreira. (2001). Integration of Mutual Information and Creaseness Based Methods for the Automatic Registration of SLO Sequences..
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Petia Radeva, Ricardo Toledo, Craig Von Land, & Juan J. Villanueva. (1998). 3D Vessel Reconstruction from Biplane Angiograms using Snakes..
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