<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Et Al | SCUT Visual Laboratory</title><link>https://scut-xinlab.github.io/en/author/et-al/</link><atom:link href="https://scut-xinlab.github.io/en/author/et-al/index.xml" rel="self" type="application/rss+xml"/><description>Et Al</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Wed, 01 Jan 2020 00:00:00 +0000</lastBuildDate><image><url>https://scut-xinlab.github.io/media/icon_hu11734318148517933569.png</url><title>Et Al</title><link>https://scut-xinlab.github.io/en/author/et-al/</link></image><item><title>Joint image quality assessment and brain extraction of fetal MRI using deep learning</title><link>https://scut-xinlab.github.io/en/publication/conference-paper/liao2020joint/</link><pubDate>Wed, 01 Jan 2020 00:00:00 +0000</pubDate><guid>https://scut-xinlab.github.io/en/publication/conference-paper/liao2020joint/</guid><description/></item></channel></rss>