Author  |
Title |
Year |
Publication |
Volume |
Pages |
| Jordi Vitria; J. Llacer |
Recovering brightness and depth from focus using the Expectation-Maximization Algorithm. |
1995 |
VI National Simposium on Pattern Recognition and image Analysis |
|
|
| Jordi Vitria; J. Llacer |
Recovering Depth from Focus Using Iterative image Estimation Techniques. |
1993 |
Tech.Report BL–35158, Lawrence Berkeley Laboratory. |
|
|
| Jordi Vitria; Joao Sanchez; Miguel Raposo; Mario Hernandez |
Pattern Recognition and Image Analysis |
2011 |
5th Iberian Conference Pattern Recognition and Image Analysis |
6669 |
|
| Jordi Vitria; M. Bressan; Petia Radeva |
Bayesian classification of cork stoppers using class-conditional independent component analysis |
2006 |
IEEE Transactions on Systems, Man and Cybernetics (Part C), 36(6) |
|
|
| Jordi Vitria; M. Bressan; Petia Radeva |
Bayesian classification of cork stoppers using class-conditional independent component analysis |
2007 |
IEEE Transactions on Systems, Man and Cybernetics (Part C), 37(1): 32–38 (ISI 0,482) |
|
|
| Jordi Vitria; Petia Radeva; I. Aguilo |
Recent Advances in Artificial Intelligence Research and Development |
2004 |
Frontiers in Artificial Intelligence and Applications, 113, J. Vitria, P. Radeva, I. Aguilo (Eds.), ISBN: 1–58603–466–9 |
|
|
| Jordi Vitria; Petia Radeva; X. Binefa |
EigenHistograms: using low dimensional models of color distribution for real time object recognition |
1999 |
|
|
|
| Jordi Vitria; Petia Radeva; X. Binefa; A. Pujol; Ernest Valveny; Robert Benavente; Craig Von Land |
Real time recognition of pharmaceutical products by subspace methods |
1999 |
CVC Technical Report #35 |
|
|
| Jordi Vitria; X. Binefa; Juan J. Villanueva |
Morphological Algorithms for Visual Analysis of Integrated Circuits. |
1992 |
Journal of Visual Communications and image Representation, Vol.3, No.2, pp.194–202. |
|
|
| Jordina Torrents-Barrena; Aida Valls; Petia Radeva; Meritxell Arenas; Domenec Puig |
Automatic Recognition of Molecular Subtypes of Breast Cancer in X-Ray images using Segmentation-based Fractal Texture Analysis |
2015 |
Artificial Intelligence Research and Development |
277 |
247 - 256 |
| Jordy Van Landeghem; Ruben Tito; Lukasz Borchmann; Michal Pietruszka; Pawel Joziak; Rafal Powalski; Dawid Jurkiewicz; Mickael Coustaty; Bertrand Anckaert; Ernest Valveny; Matthew Blaschko; Sien Moens; Tomasz Stanislawek |
Document Understanding Dataset and Evaluation (DUDE) |
2023 |
20th IEEE International Conference on Computer Vision |
|
19528-19540 |
| Jorge Bernal |
Use of Projection and Back-projection Methods in Bidimensional Computed Tomography Image Reconstruction |
2009 |
CVC Tecnical Report |
141 |
|
| Jorge Bernal |
Polyp Localization and Segmentation in Colonoscopy Images by Means of a Model of Appearance for Polyps |
2012 |
PhD Thesis, Universitat Autonoma de Barcelona-CVC |
|
|
| Jorge Bernal |
Polyp Localization and Segmentation in Colonoscopy Images by Means of a Model of Appearance for Polyps |
2014 |
Electronic Letters on Computer Vision and Image Analysis |
13 |
9-10 |
| Jorge Bernal; Aymeric Histace; Marc Masana; Quentin Angermann; Cristina Sanchez Montes; Cristina Rodriguez de Miguel; Maroua Hammami; Ana Garcia Rodriguez; Henry Cordova; Olivier Romain; Gloria Fernandez Esparrach; Xavier Dray; F. Javier Sanchez |
Polyp Detection Benchmark in Colonoscopy Videos using GTCreator: A Novel Fully Configurable Tool for Easy and Fast Annotation of Image Databases |
2018 |
32nd International Congress and Exhibition on Computer Assisted Radiology & Surgery |
|
|
