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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
Sergio Vera; Debora Gil; Agnes Borras; F. Javier Sanchez; Frederic Perez; Marius G. Linguraru
Computation and Evaluation of Medial Surfaces for Shape Representation of Abdominal Organs
2011
Workshop on Computational and Clinical Applications in Abdominal Imaging
7029
223-230
Debora Gil; Sergio Vera; Agnes Borras; Albert Andaluz; Miguel Angel Gonzalez Ballester
Anatomical Medial Surfaces with Efficient Resolution of Branches Singularities
2017
Medical Image Analysis
35
390-402
Debora Gil
Geometric Differential Operators for Shape Modelling
2004
PhD Thesis, Universitat Autonoma de Barcelona-CVC
Debora Gil; Aura Hernandez-Sabate; Julien Enconniere; Saryani Asmayawati; Pau Folch; Juan Borrego-Carazo; Miquel Angel Piera
E-Pilots: A System to Predict Hard Landing During the Approach Phase of Commercial Flights
2022
IEEE Access
10
7489-7503
Albert Andaluz; Francesc Carreras; Cristina Santa Marta;Debora Gil
Myocardial torsion estimation with Tagged-MRI in the OsiriX platform
2012
ISBI Workshop on Open Source Medical Image Analysis software
David Castells; Vinh Ngo; Juan Borrego-Carazo; Marc Codina; Carles Sanchez; Debora Gil; Jordi Carrabina
A Survey of FPGA-Based Vision Systems for Autonomous Cars
2022
IEEE Access
10
132525-132563
Patricia Marquez; Debora Gil; R.Mester; Aura Hernandez-Sabate
Local Analysis of Confidence Measures for Optical Flow Quality Evaluation
2014
9th International Conference on Computer Vision Theory and Applications
3
450-457
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
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
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