{"id":16,"date":"2019-07-30T22:14:45","date_gmt":"2019-07-30T20:14:45","guid":{"rendered":"https:\/\/projets.litislab.fr\/rvsc\/?page_id=16"},"modified":"2024-11-06T22:15:22","modified_gmt":"2024-11-06T21:15:22","slug":"post-challenge-submissions","status":"publish","type":"page","link":"https:\/\/projets.litislab.fr\/rvsc\/post-challenge-submissions\/","title":{"rendered":"Post-challenge submissions"},"content":{"rendered":"<ul>\n<li>A\u00a0<a href=\"https:\/\/blog.insightdatascience.com\/heart-disease-diagnosis-with-deep-learning-c2d92c27e730\">blog post<\/a>\u00a0by\u00a0Chuck-Hou Yee, an\u00a0<a href=\"https:\/\/blog.insightdatascience.com\/\">Insight\u00a0<\/a>AI Fellow about deep learning applied to the RVSC dataset, sept 2017<\/li>\n<li><a href=\"http:\/\/arxiv.org\/abs\/1604.00494\"><strong>Phi Vu Tran<\/strong>\u00a0A Fully Convolutional Neural Network for Cardiac Segmentation in Short-Axis MRI, arXiv:1604.00494, April 2016 [cs.CV]<\/a><\/li>\n<li><a href=\"http:\/\/link.springer.com\/article\/10.1186\/1532-429X-18-S1-P351\"><strong>MR Avendi, Arash Kheradvar, Hamid Jafarkhani<\/strong>, Fully automatic segmentation of heart chambers in cardiac MRI using deep learning, Journal of Cardiovascular Magnetic Resonance, December 2016, 18:P351<\/a><\/li>\n<li><a href=\"http:\/\/www.sciencedirect.com\/science\/article\/pii\/S0895611115000063\"><strong>Punithakumar, K., Noga, M., Ben Ayed, I., Boulanger, P<\/strong>. Right ventricular segmentation in cardiac MRI with moving mesh correspondences, Computerized Medical Imaging and Graphics, Volume 43, July 2015, Pages 15\u201325.<\/a><\/li>\n<li><strong>O. Moolan-Feroze, M. Mirmehdi, M. Hamilton, and C. Bucciarelli-Ducci<\/strong>, \u201cSegmentation of the right ventricle using diffusion maps and markov random fields,\u201d in Medical Image Computing and Computer-Assisted Intervention\u2013MICCAI 2014. Springer, 2014, pp. 682\u2013689.<\/li>\n<li><a href=\"https:\/\/scholar.google.com\/citations?view_op=view_citation&amp;hl=en&amp;user=oEvLKCAAAAAJ&amp;citation_for_view=oEvLKCAAAAAJ:UeHWp8X0CEIC\"><strong>Ringenberg, J., Deo, M., Devabhaktuni, V., Berenfeld, O., Boyers, P., Gold,\u00a0J<\/strong>. Fast, accurate, and fully automatic segmentation of the right\u00a0ventricle in short-axis cardiac MRI.\u00a0<em>Computerized Medical Imaging and\u00a0Graphics<\/em>\u00a0volume 38, issue 3, year 2014, pp. 190 &#8211; 201<\/a><\/li>\n<li><strong>Labrador, A. A., Martnez, F., Castro, E.<\/strong>\u00a0A novel right ventricle\u00a0segmentation approach from local spatio-temporal MRI information. In:\u00a0<em>Progress in Pattern Recognition, Image Analysis, Computer Vision, and\u00a0Applications (CIARP)<\/em>, La Havana, Cuba. Vol. 8259 of LNCS. pp. 206-213, 2013<\/li>\n<li><strong>Mahapatra, D., Buhmann, J. M.<\/strong>\u00a0Automatic cardiac RV segmentation\u00a0using semantic information with graph cuts. In:\u00a0<em>IEEE International\u00a0Symposium Biomedical Imaging (ISBI&#8217;13)<\/em>. pp. 1094-1097, 2013<\/li>\n<\/ul>\n<p>[Sept 3rd, 2014] Since the MICCAI&#8217;12 workshop, RVSC data have been requested 33 times by researchers from around the world.\u00a0<em>To reviewers of papers which contain experiments on RVSC data: results should be given on Test1 and Test2 sets (32 patients) only, and it should be explicit that evaluation was performed by the organizers, and the results were given to the authors.<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>A\u00a0blog post\u00a0by\u00a0Chuck-Hou Yee, an\u00a0Insight\u00a0AI Fellow about deep learning applied to the RVSC dataset, sept 2017 Phi Vu Tran\u00a0A Fully Convolutional Neural Network for Cardiac Segmentation in Short-Axis MRI, arXiv:1604.00494, April 2016 [cs.CV] MR Avendi, Arash Kheradvar, Hamid Jafarkhani, Fully automatic &hellip; <a href=\"https:\/\/projets.litislab.fr\/rvsc\/post-challenge-submissions\/\">Continue reading <span class=\"meta-nav\">&rarr;<\/span><\/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-16","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/projets.litislab.fr\/rvsc\/wp-json\/wp\/v2\/pages\/16","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/projets.litislab.fr\/rvsc\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/projets.litislab.fr\/rvsc\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/projets.litislab.fr\/rvsc\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/projets.litislab.fr\/rvsc\/wp-json\/wp\/v2\/comments?post=16"}],"version-history":[{"count":1,"href":"https:\/\/projets.litislab.fr\/rvsc\/wp-json\/wp\/v2\/pages\/16\/revisions"}],"predecessor-version":[{"id":17,"href":"https:\/\/projets.litislab.fr\/rvsc\/wp-json\/wp\/v2\/pages\/16\/revisions\/17"}],"wp:attachment":[{"href":"https:\/\/projets.litislab.fr\/rvsc\/wp-json\/wp\/v2\/media?parent=16"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}