{"version":"1.0","provider_name":"German Conference on Medical Image Computing","provider_url":"https:\/\/www.bvm-conf.org\/de\/","title":"Poster 11 &#8212; German Conference on Medical Image Computing","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"EM3XuJGIjD\"><a href=\"https:\/\/www.bvm-conf.org\/de\/bvm2021\/postersession\/poster11\/\">Poster 11<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/www.bvm-conf.org\/de\/bvm2021\/postersession\/poster11\/embed\/#?secret=EM3XuJGIjD\" width=\"600\" height=\"338\" title=\"&#8222;Poster 11&#8220; &#8211; German Conference on Medical Image Computing\" data-secret=\"EM3XuJGIjD\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script>\n\/*! This file is auto-generated *\/\n!function(d,l){\"use strict\";l.querySelector&&d.addEventListener&&\"undefined\"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!\/[^a-zA-Z0-9]\/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret=\"'+t.secret+'\"]'),o=l.querySelectorAll('blockquote[data-secret=\"'+t.secret+'\"]'),c=new RegExp(\"^https?:$\",\"i\"),i=0;i<o.length;i++)o[i].style.display=\"none\";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute(\"style\"),\"height\"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):\"link\"===t.message&&(r=new URL(s.getAttribute(\"src\")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener(\"message\",d.wp.receiveEmbedMessage,!1),l.addEventListener(\"DOMContentLoaded\",function(){for(var e,t,s=l.querySelectorAll(\"iframe.wp-embedded-content\"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute(\"data-secret\"))||(t=Math.random().toString(36).substring(2,12),e.src+=\"#?secret=\"+t,e.setAttribute(\"data-secret\",t)),e.contentWindow.postMessage({message:\"ready\",secret:t},\"*\")},!1)))}(window,document);\n\/\/# sourceURL=https:\/\/www.bvm-conf.org\/wp-includes\/js\/wp-embed.min.js\n<\/script>\n","description":"Deep Learning-based Segmentation of Brain, SEEG and DBS Electrodes on CT Images Vanja Vlasov, Marie Bo \ufb00 erding, Lo\u00a8\u0131c Marx, Chencheng Zhang, Jorge Goncalves, Andreas Husch, Frank Hertel Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Belvaux, Luxembourg Postersession 1, Segmentation Abstract Stereoelectroencephalography (sEEG) and deep brain stimulation (DBS) are effective surgical diagnostic and&hellip;","thumbnail_url":"https:\/\/www.bvm-conf.org\/wp-content\/uploads\/2020\/09\/cropped-BVM-Logo.png","thumbnail_width":964,"thumbnail_height":964}