{"version":"1.0","provider_name":"German Conference on Medical Image Computing","provider_url":"https:\/\/www.bvm-conf.org\/de\/","title":"Poster 30 &#8212; German Conference on Medical Image Computing","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"jpwsEMe8lo\"><a href=\"https:\/\/www.bvm-conf.org\/de\/bvm2021\/postersession\/poster30\/\">Poster 30<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/www.bvm-conf.org\/de\/bvm2021\/postersession\/poster30\/embed\/#?secret=jpwsEMe8lo\" width=\"600\" height=\"338\" title=\"&#8222;Poster 30&#8220; &#8211; German Conference on Medical Image Computing\" data-secret=\"jpwsEMe8lo\" 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":"Multi-modal Unsupervised Domain Adaptation for Deformable Registration Based on Maximum Classi\ufb01er Discrepancy Christian N. Kruse, Lasse Hansen, Mattias P. Heinrich Universit\u00e4t zu L\u00fcbeck, Institut f\u00fcr Medizinische Informatik Abstract The scarce availability of labeled data makes multi-modal domain adaptation an interesting approach in medical image analysis. Deep learning-based registration methods, however, still struggle to outperform their&hellip;","thumbnail_url":"https:\/\/www.bvm-conf.org\/wp-content\/uploads\/2020\/09\/cropped-BVM-Logo.png","thumbnail_width":964,"thumbnail_height":964}