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Carles Sanchez; Jorge Bernal; Debora Gil; F. Javier Sanchez On-line lumen centre detection in gastrointestinal and respiratory endoscopy 2013 Second International Workshop Clinical Image-Based Procedures 8361 31-38 details   pdf doi
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 details   openurl
Farhan Riaz; Fernando Vilariño; Mario Dinis-Ribeiro; Miguel Coimbraln Identifying Potentially Cancerous Tissues in Chromoendoscopy Images 2011 5th Iberian Conference on Pattern Recognition and Image Analysis 6669 709-716 details   pdf doi
Fernando Vilariño; Panagiota Spyridonos; Jordi Vitria; Carolina Malagelada; Petia Radeva A Machine Learning framework using SOMs: Applications in the Intestinal Motility Assessment 2006 11th Iberoamerican Congress on Pattern Recognition 4225 188–197 details   pdf doi
Jorge Bernal; Fernando Vilariño; F. Javier Sanchez Towards Intelligent Systems for Colonoscopy 2011 Colonoscopy 1 257-282 details   pdf doi
Fernando Vilariño A Machine Learning Approach for Intestinal Motility Assessment with Capsule Endoscopy 2006 PhD Thesis, Universitat Autonoma de Barcelona-CVC details   pdf openurl
Panagiota Spyridonos; Fernando Vilariño; Jordi Vitria; Fernando Azpiroz; Petia Radeva Anisotropic Feature Extraction from Endoluminal Images for Detection of Intestinal Contractions 2006 9th International Conference on Medical Image Computing and Computer–Assisted Intervention 4191 161–168 details   pdf doi
Carles Sanchez; Debora Gil; Antoni Rosell; Albert Andaluz; F. Javier Sanchez Segmentation of Tracheal Rings in Videobronchoscopy combining Geometry and Appearance 2013 Proceedings of the International Conference on Computer Vision Theory and Applications 1 153--161 details   pdf isbn
Jorge Bernal; F. Javier Sanchez; Fernando Vilariño A Region Segmentation Method for Colonoscopy Images Using a Model of Polyp Appearance 2011 5th Iberian Conference on Pattern Recognition and Image Analysis 6669 134-143    details   pdf doi
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