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Author
Title
Year
Publication
Volume
Pages
Links
David Roche; Debora Gil; Jesus Giraldo
An inference model for analyzing termination conditions of Evolutionary Algorithms
2011
14th Congrès Català en Intel·ligencia Artificial
216-225
Debora Gil; Petia Radeva; Jordi Saludes; Josefina Mauri
Automatic Segmentation of Artery Wall in Coronary IVUS Images: A Probabilistic Approach
2000
International Conference on Pattern Recognition
4
352-355
Petia Radeva; A.Amini; J.Huang; Enric Marti
Deformable B-Solids and Implicit Snakes for Localization and Tracking of SPAMM MRI-Data
1996
Workshop on Mathematical Methods in Biomedical Image Analysis
192-201
Petia Radeva; Enric Marti
Facial Features Segmentation by Model-Based Snakes
1995
International Conference on Computing Analysis and Image Processing
Ferran Poveda; Debora Gil ;Albert Andaluz ;Enric Marti
Multiscale Tractography for Representing Heart Muscular Architecture
2011
In MICCAI 2011 Workshop on Computational Diffusion MRI
Aura Hernandez-Sabate; Debora Gil; David Roche; Monica M. S. Matsumoto; Sergio S. Furuie
Inferring the Performance of Medical Imaging Algorithms
2011
14th International Conference on Computer Analysis of Images and Patterns
6854
520-528
Ernest Valveny; Enric Marti
Application of deformable template matching to symbol recognition in hand-written architectural draw
1999
Proceedings of the Fifth International Conference on
Aura Hernandez-Sabate; Petia Radeva; Antonio Tovar; Debora Gil
Vessel structures alignment by spectral analysis of ivus sequences
2006
Proc. of CVII, MICCAI Workshop
39-36
A. M. Here; B. C. Lopez; Debora Gil; J. J. Camarero; Jordi Martinez-Vilalta
A new software to analyse wood anatomical features in conifer species
2013
International Symposium on Wood Structure in Plant Biology and Ecology
Jaume Garcia; Albert Andaluz; Debora Gil; Francesc Carreras
Decoupled External Forces in a Predictor-Corrector Segmentation Scheme for LV Contours in Tagged MR Images
2010
32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society
4805-4808
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