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Author
Title
Year
Publication
Volume
Pages
Links
Aura Hernandez-Sabate; Debora Gil; Albert Teis
How Do Conservation Laws Define a Motion Suppression Score in In-Vivo Ivus Sequences?
2007
Proc. IEEE Ultrasonics Symp
2231-2234
Paula Fritzsche; C.Roig; Ana Ripoll; Emilio Luque; Aura Hernandez-Sabate
A Performance Prediction Methodology for Data-dependent Parallel Applications
2006
Proceedings of the IEEE International Conference on Cluster Computing
1-8
Aura Hernandez-Sabate; Debora Gil; Petia Radeva; E.N.Nofrerias
Anisotropic processing of image structures for adventitia detection in intravascular ultrasound images
2004
Proc. Computers in Cardiology
31
229-232
Patricia Marquez;Debora Gil;Aura Hernandez-Sabate
A Complete Confidence Framework for Optical Flow
2012
12th European Conference on Computer Vision – Workshops and Demonstrations
7584
124-133
Patricia Marquez; Debora Gil ; Aura Hernandez-Sabate
Error Analysis for Lucas-Kanade Based Schemes
2012
9th International Conference on Image Analysis and Recognition
7324
184-191
Debora Gil; Aura Hernandez-Sabate; Mireia Burnat; Steven Jansen; Jordi Martinez-Vilalta
Structure-Preserving Smoothing of Biomedical Images
2009
13th International Conference on Computer Analysis of Images and Patterns
5702
427-434
Patricia Marquez; H. Kause; A. Fuster; Aura Hernandez-Sabate; L. Florack; Debora Gil; Hans van Assen
Factors Affecting Optical Flow Performance in Tagging Magnetic Resonance Imaging
2014
17th International Conference on Medical Image Computing and Computer Assisted Intervention
8896
231-238
Debora Gil; Aura Hernandez-Sabate; Antoni Carol; Oriol Rodriguez; Petia Radeva
A Deterministic-Statistic Adventitia Detection in IVUS Images
2005
3rd International workshop on International Workshop on Functional Imaging and Modeling of the Heart
65-74
Debora Gil; Aura Hernandez-Sabate; Antoni Carol; Oriol Rodriguez; Petia Radeva
A Deterministic-Statistic Adventitia Detection in IVUS Images
2005
ESC Congress
Aura Hernandez-Sabate; Debora Gil; Petia Radeva
On the usefulness of supervised learning for vessel border detection in IntraVascular Imaging
2005
Proceeding of the 2005 conference on Artificial Intelligence Research and Development
67-74
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