<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>B. Kainz | AI in Medicine</title><link>https://aim-lab.io/author/b.-kainz/</link><atom:link href="https://aim-lab.io/author/b.-kainz/index.xml" rel="self" type="application/rss+xml"/><description>B. Kainz</description><generator>Wowchemy (https://wowchemy.com)</generator><language>en-us</language><copyright>© Technical University of Munich 2026</copyright><lastBuildDate>Wed, 24 Mar 2021 00:00:00 +0000</lastBuildDate><image><url>https://aim-lab.io/images/icon_hu90763c276d9f69c3ad22e431a6bb6670_11797_512x512_fill_lanczos_center_2.png</url><title>B. Kainz</title><link>https://aim-lab.io/author/b.-kainz/</link></image><item><title>Federated deep learning for detecting COVID-19 lung abnormalities in CT: A privacy-preserving multinational validation study.</title><link>https://aim-lab.io/publication/dm-2021/</link><pubDate>Wed, 24 Mar 2021 00:00:00 +0000</pubDate><guid>https://aim-lab.io/publication/dm-2021/</guid><description/></item></channel></rss>