Journal articles:


[1] Bernal, J., Histace, A., Masana, M., Angermann, Q., Sánchez-Montes, C., de Miguel, C. R., … & Fernández-Esparrach, G. (2018). GTCreator: a flexible annotation tool for image-based datasets. International journal of computer assisted radiology and surgery, 1-11 (in press).

[2] Sanchez-Montes, C., Sánchez, F.J, Bernal, J., Cordova, H., Cuatrecasas, M., Rodriguez de Miguel, C., García-Rodriguez, A., Garces, R., Pellise, M.,  Llach, J., and  Fernández-Esparrach, G. “Computer-aided prediction of polyp histology on white-light colonoscopy using surface pattern analysis,” Endoscopy, 2018 (in press)

[3] Brandao, P., Zisimopoulos, O., Mazomenos, E., Ciuti, G., Bernal, J., Visentini-Scarzanella, M., … & Hawkes, D. J. (2018). Towards a Computed-Aided Diagnosis System in Colonoscopy: Automatic Polyp Segmentation Using Convolution Neural Networks. Journal of Medical Robotics Research3(02), 1840002.
[1] Vázquez, D., Bernal, J., Sánchez, F. J., Fernández-Esparrach, G., López, A. M., Romero, A., … & Courville, A. (2016). A Benchmark for Endoluminal Scene Segmentation of Colonoscopy Images. Pre-print Open Access version here
[2] Bernal, J., Tajkbaksh, N., Sánchez, F. J., Matuszewski, B. J., Chen, H., Yu, L., … & Liang, J & Histace, A. (2017). Comparative validation of polyp detection methods in video colonoscopy: Results from the MICCAI 2015 endoscopic vision challenge. IEEE Transactions on Medical Imaging, 36(6), 1231-1249.

[3] Sánchez, F. J., Bernal, J., Sánchez-Montes, C., de Miguel, C. R., & Fernández-Esparrach, G. (2017). Bright spot regions segmentation and classification for specular highlights detection in colonoscopy videos. Machine Vision and Applications28(8), 917-936.