1.0SC21 ICM Univ of Warsaw #811https://sc21.icm.edu.plMarek Świrydowiczhttps://sc21.icm.edu.pl/index.php/author/mareks/rich600338<blockquote class="wp-embedded-content" data-secret="mAqkLh5opQ"><a href="https://sc21.icm.edu.pl/index.php/ai-in-biomedical-imaging/">AI in biomedical imaging</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://sc21.icm.edu.pl/index.php/ai-in-biomedical-imaging/embed/#?secret=mAqkLh5opQ" width="600" height="338" title="„AI in biomedical imaging” — SC21 ICM Univ of Warsaw #811" data-secret="mAqkLh5opQ" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script> /*! This file is auto-generated */ !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); //# sourceURL=https://sc21.icm.edu.pl/wp-includes/js/wp-embed.min.js </script> Norbert Kapiński , PhD Email LinkedIn AI in biomedical imaging DL & ML in medical imaging and radiology Artificial Intelligence in medical imaging Development and use of deep learning (DL) techniques and machine learning (ML) in medical imaging and radiology. From image enhancement, through segmentation, detection, diagnostics automation, decision support, up to structuring reporting, optimization […]https://sc21.icm.edu.pl/wp-content/uploads/2021/11/norbert-kapinski.png