Petia Radeva, Cristina Cañero, Juan J. Villanueva, J. Mauri, & E Fernandez-Nofrerias. (2001). 3D Reconstruction of a Stent by Deformable Models..
|
David Rotger, Petia Radeva, Cristina Cañero, Juan J. Villanueva, J. Mauri, E Fernandez-Nofrerias, et al. (2001). Corresponding IVUS and Angiogram Image Data.
|
Petia Radeva, & Jordi Vitria. (2001). Region Based Approach for Discriminant Snakes..
|
Gemma Sanchez, & Josep Llados. (2001). A Graph Grammar to Recognize Textured Symbols..
|
Gemma Sanchez, Josep Llados, & K. Tombre. (2001). An Algorithm to Recognize Graphical Textured Symbols using String Representations..
|
Gemma Sanchez, Josep Llados, & K. Tombre. (2001). An Error-Correction Graph Grammar to Recognize Textured Symbols..
|
Maria Vanrell, Felipe Lumbreras, A. Pujol, Ramon Baldrich, Josep Llados, & Juan J. Villanueva. (2001). Colour Normalisation Based on Background Information..
|
Antonio Lopez, David Lloret, Joan Serrat, & Juan J. Villanueva. (2000). Multilocal Creaseness Based on the Level-Set Extrinsic Curvarture..
|
Petia Radeva. (1993). Segmentacion de Imagenes Radiograficas con Snakes. Aplicacion a la Determinacion de la Madurez Osea..
|
D. Rincon, E. Frumento, R. Fogliardi, & M. Angel Viñas. (2000). Carmen/Carolin: Description and Results of an International Experience of Telemedicine..
|
J.M. Sanchez, & X. Binefa. (1999). Automatic digital TV commercial recognition..
|
David Lloret, & Derek L.G. Hill. (1999). System for live fusion of 2-D ultrasound scans to pre-interventional MR volumes of a patient..
|
Josep Llados, & Enric Marti. (1999). A graph-edit algorithm for hand-drawn graphical document recognition and their automatic introduction into CAD systems..
|
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.
|
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..
|