Journal articles:
\n————————<\/p>\n
2018:<\/p>\n
[1]\u00a0Bernal, J., Histace, A., Masana, M., Angermann, Q., S\u00e1nchez-Montes, C., de Miguel, C. R., … & Fern\u00e1ndez-Esparrach, G. (2018). GTCreator: a flexible annotation tool for image-based datasets.\u00a0International journal of computer assisted radiology and surgery<\/i>, 1-11 (in press).<\/p>\n
[2]\u00a0Sanchez-Montes, C., S\u00e1nchez, F.J, Bernal, J., Cordova, H., Cuatrecasas, M., Rodriguez de Miguel, C., Garc\u00eda-Rodriguez, A., Garces, R., Pellise, M.,\u00a0 Llach, J., and\u00a0 Fern\u00e1ndez-Esparrach, G. \u201cComputer-aided prediction of polyp histology on white-light colonoscopy using surface pattern analysis,\u201d Endoscopy, 2018 (in press)<\/p>\n
[3]\u00a0Brandao, 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.\u00a0Journal of Medical Robotics Research<\/i>,\u00a03<\/i>(02), 1840002. [3]\u00a0S\u00e1nchez, F. J., Bernal, J., S\u00e1nchez-Montes, C., de Miguel, C. R., & Fern\u00e1ndez-Esparrach, G. (2017). Bright spot regions segmentation and classification for specular highlights detection in colonoscopy videos.\u00a0Machine Vision and Applications<\/i>,\u00a028<\/i>(8), 917-936.<\/p>\n <\/p>\n","protected":false},"excerpt":{"rendered":" Journal articles: ———————— 2018: [1]\u00a0Bernal, J., Histace, A., Masana, M., Angermann, Q., S\u00e1nchez-Montes, C., de Miguel, C. R., … & Fern\u00e1ndez-Esparrach, G. (2018). GTCreator: a flexible annotation tool for image-based datasets.\u00a0International journal of computer assisted radiology and surgery, 1-11 (in press). [2]\u00a0Sanchez-Montes, C., S\u00e1nchez, F.J, Bernal, J., Cordova, H., Cuatrecasas, M., Rodriguez de Miguel, C., … Read more<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-14","page","type-page","status-publish"],"_links":{"self":[{"href":"https:\/\/pages.cvc.uab.es\/CVC-Colon\/index.php\/wp-json\/wp\/v2\/pages\/14","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/pages.cvc.uab.es\/CVC-Colon\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/pages.cvc.uab.es\/CVC-Colon\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/pages.cvc.uab.es\/CVC-Colon\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/pages.cvc.uab.es\/CVC-Colon\/index.php\/wp-json\/wp\/v2\/comments?post=14"}],"version-history":[{"count":5,"href":"https:\/\/pages.cvc.uab.es\/CVC-Colon\/index.php\/wp-json\/wp\/v2\/pages\/14\/revisions"}],"predecessor-version":[{"id":137,"href":"https:\/\/pages.cvc.uab.es\/CVC-Colon\/index.php\/wp-json\/wp\/v2\/pages\/14\/revisions\/137"}],"wp:attachment":[{"href":"https:\/\/pages.cvc.uab.es\/CVC-Colon\/index.php\/wp-json\/wp\/v2\/media?parent=14"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\n2017:
\n[1] V\u00e1zquez, D., Bernal, J., S\u00e1nchez, F. J., Fern\u00e1ndez-Esparrach, G., L\u00f3pez, A. M., Romero, A., … & Courville, A. (2016). A Benchmark for Endoluminal Scene Segmentation of Colonoscopy Images. Pre-print Open Access version here <\/a>
\n[2] Bernal, J., Tajkbaksh, N., S\u00e1nchez, 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.<\/p>\n