{"version":"1.0","provider_name":"German Conference on Medical Image Computing","provider_url":"https:\/\/www.bvm-conf.org\/de\/","title":"Vortrag 16 &#8212; German Conference on Medical Image Computing","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"FGFnKSb6cw\"><a href=\"https:\/\/www.bvm-conf.org\/de\/bvm2021\/vortragssession\/v16\/\">Vortrag 16<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/www.bvm-conf.org\/de\/bvm2021\/vortragssession\/v16\/embed\/#?secret=FGFnKSb6cw\" width=\"600\" height=\"338\" title=\"&#8222;Vortrag 16&#8220; &#8211; German Conference on Medical Image Computing\" data-secret=\"FGFnKSb6cw\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script type=\"text\/javascript\">\n\/* <![CDATA[ *\/\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\/* ]]> *\/\n<\/script>\n","description":"Abstract: Data Augmentation for Information Transfer: Why Controlling for Confounding E\ufb00ects in Radiomic Studies is Important and How to do it Michael G\u00f6tz, Klaus Maier-Hein Deutsches Krebsforschungszentrum (DKFZ) Heidelberg, Abteilung Medizinische Bildverarbeitung Abstract The major goal of radiomics studies is the identification of predictive and reliable markers. It is, therefore, crucial to account for unwanted&hellip;","thumbnail_url":"https:\/\/www.bvm-conf.org\/wp-content\/uploads\/2020\/09\/cropped-BVM-Logo.png","thumbnail_width":964,"thumbnail_height":964}