{"version":"1.0","provider_name":"German Conference on Medical Image Computing","provider_url":"https:\/\/www.bvm-conf.org\/de\/","title":"Software Demonstration 4 &#8212; German Conference on Medical Image Computing","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"hrFdrjv0gN\"><a href=\"https:\/\/www.bvm-conf.org\/de\/bvm2021\/postersession\/s04\/\">Software Demonstration 4<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/www.bvm-conf.org\/de\/bvm2021\/postersession\/s04\/embed\/#?secret=hrFdrjv0gN\" width=\"600\" height=\"338\" title=\"&#8222;Software Demonstration 4&#8220; &#8211; German Conference on Medical Image Computing\" data-secret=\"hrFdrjv0gN\" 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":"Interactive Visualization of 3D CNN Relevance Maps to Aid Model Comprehensibility: Application to the Detection of Alzheimer\u2019s Disease in MRI Images Martin Dyrba, Moritz Hanzig Deutsches Zentrum f\u00fcr Neurodegenerative Erkrankungen, Rostock Abstract Relevance maps derived from convolutional neural networks (CNN) indicate the in uence of a particular image region on the decision of the CNN&hellip;","thumbnail_url":"https:\/\/www.bvm-conf.org\/wp-content\/uploads\/2020\/09\/cropped-BVM-Logo.png","thumbnail_width":964,"thumbnail_height":964}