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Author
Title
Year
Publication
Volume
Pages
Links
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
A Confidence Measure for Assessing Optical Flow Accuracy in the Absence of Ground Truth
2011
IEEE International Conference on Computer Vision – Workshops
2042-2049
Debora Gil; Aura Hernandez-Sabate; Antoni Carol; Oriol Rodriguez; Petia Radeva
A Deterministic-Statistic Adventitia Detection in IVUS Images
2005
ESC Congress
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
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; Monica Mitiko; Sergio Shiguemi; Debora Gil
A validation protocol for assessing cardiac phase retrieval in IntraVascular UltraSound
2010
Computing in Cardiology
37
899-902
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
Debora Gil; Aura Hernandez-Sabate; David Castells; Jordi Carrabina
CYBERH: Cyber-Physical Systems in Health for Personalized Assistance
2017
International Symposium on Symbolic and Numeric Algorithms for Scientific Computing
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
Patricia Marquez; Debora Gil; Aura Hernandez-Sabate
Evaluation of the Capabilities of Confidence Measures for Assessing Optical Flow Quality
2013
ICCV Workshop on Computer Vision in Vehicle Technology: From Earth to Mars
624-631
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