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Jorge Bernal
Jorge Bernal
Computer Vision Center, Universitat Autònoma De Barcelona
Dirección de correo verificada de cvc.uab.es
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WM-DOVA maps for accurate polyp highlighting in colonoscopy: Validation vs. saliency maps from physicians
J Bernal, FJ Sánchez, G Fernández-Esparrach, D Gil, C Rodríguez, ...
Computerized Medical Imaging and Graphics 43, 99-111, 2015
5272015
Towards automatic polyp detection with a polyp appearance model
J Bernal, J Sánchez, F Vilarino
Pattern Recognition 45 (9), 3166-3182, 2012
3512012
Comparative validation of polyp detection methods in video colonoscopy: results from the MICCAI 2015 endoscopic vision challenge
J Bernal, N Tajkbaksh, FJ Sanchez, BJ Matuszewski, H Chen, L Yu, ...
IEEE transactions on medical imaging 36 (6), 1231-1249, 2017
2912017
A benchmark for endoluminal scene segmentation of colonoscopy images
D Vázquez, J Bernal, FJ Sánchez, G Fernández-Esparrach, AM López, ...
Journal of healthcare engineering 2017, 2017
2202017
Exploring the clinical potential of an automatic colonic polyp detection method based on the creation of energy maps
G Fernández-Esparrach, J Bernal, M López-Cerón, H Córdova, ...
Endoscopy 48 (09), 837-842, 2016
1092016
Towards real-time polyp detection in colonoscopy videos: Adapting still frame-based methodologies for video sequences analysis
Q Angermann, J Bernal, C Sánchez-Montes, M Hammami, ...
Computer assisted and robotic endoscopy and clinical image-based procedures …, 2017
652017
Towards a computed-aided diagnosis system in colonoscopy: automatic polyp segmentation using convolution neural networks
P Brandao, O Zisimopoulos, E Mazomenos, G Ciuti, J Bernal, ...
Journal of Medical Robotics Research 3 (02), 1840002, 2018
582018
Impact of image preprocessing methods on polyp localization in colonoscopy frames
J Bernal, J Sánchez, F Vilarino
2013 35th Annual International Conference of the IEEE Engineering in …, 2013
582013
Results of the use of Kahoot! gamification tool in a course of Chemistry
AM Ares, J Bernal, MJ Nozal, FJ Sánchez, J Bernal
4th international conference on higher education advances (HEAD’18), 1215-1222, 2018
492018
Computer-aided prediction of polyp histology on white light colonoscopy using surface pattern analysis
C Sánchez-Montes, FJ Sánchez, J Bernal, H Córdova, M López-Cerón, ...
Endoscopy 51 (03), 261-265, 2019
472019
Polyp detection benchmark in colonoscopy videos using gtcreator: A novel fully configurable tool for easy and fast annotation of image databases
J Bernal, A Histace, M Masana, Q Angermann, C Sánchez-Montes, ...
Proceedings of 32nd CARS conference, 2018
372018
Feature detectors and feature descriptors: Where we are now
J Bernal, FJ Sánchez, F Vilariño
Feature Detectors and Feature Descriptors: Where We Are Now, 2010
302010
Establishing key research questions for the implementation of artificial intelligence in colonoscopy: a modified Delphi method
OF Ahmad, Y Mori, M Misawa, S Kudo, JT Anderson, J Bernal, TM Berzin, ...
Endoscopy 53 (09), 893-901, 2021
292021
Polyp segmentation with fully convolutional deep neural networks—extended evaluation study
Y Guo, J Bernal, B J. Matuszewski
Journal of Imaging 6 (7), 69, 2020
292020
GTCreator: a flexible annotation tool for image-based datasets
J Bernal, A Histace, M Masana, Q Angermann, C Sánchez-Montes, ...
International journal of computer assisted radiology and surgery 14 (2), 191-201, 2019
272019
Bright spot regions segmentation and classification for specular highlights detection in colonoscopy videos
FJ Sánchez, J Bernal, C Sánchez-Montes, CR de Miguel, ...
Machine Vision and Applications 28 (8), 917-936, 2017
212017
Gastrointestinal image analysis (giana) angiodysplasia d&l challenge
J Bernal, H Aymeric
Web-page of the 2017 Endoscopic Vision Challenge, 2017
192017
Polyp segmentation method in colonoscopy videos by means of MSA-DOVA energy maps calculation
J Bernal, JM Núñez, FJ Sánchez, F Vilariño
Workshop on Clinical Image-Based Procedures, 41-49, 2014
182014
On-line lumen centre detection in gastrointestinal and respiratory endoscopy
C Sánchez, J Bernal, D Gil, FJ Sánchez
Workshop on Clinical Image-Based Procedures, 31-38, 2013
182013
A region segmentation method for colonoscopy images using a model of polyp appearance
J Bernal, J Sánchez, F Vilarino
Iberian Conference on Pattern Recognition and Image Analysis, 134-142, 2011
172011
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Artículos 1–20