<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Dag Alnæs | MANIFOLD Lab</title><link>https://manifold-cs.ml/author/dag-aln%C3%A6s/</link><atom:link href="https://manifold-cs.ml/author/dag-aln%C3%A6s/index.xml" rel="self" type="application/rss+xml"/><description>Dag Alnæs</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Fri, 01 Jan 2021 00:00:00 +0000</lastBuildDate><image><url>https://manifold-cs.ml/media/icon_hu11734318148517933569.png</url><title>Dag Alnæs</title><link>https://manifold-cs.ml/author/dag-aln%C3%A6s/</link></image><item><title>Mind the gap: performance metric evaluation in brain-age prediction</title><link>https://manifold-cs.ml/publication/mind-the-gap-performance-metric-evaluation-in-brain-age-prediction/</link><pubDate>Fri, 01 Jan 2021 00:00:00 +0000</pubDate><guid>https://manifold-cs.ml/publication/mind-the-gap-performance-metric-evaluation-in-brain-age-prediction/</guid><description>&lt;p>&lt;strong>Authors:&lt;/strong> Ann-Marie G. de Lange, Melis Anatürk, Jaroslav Rokicki, Laura K.M. Han, Katja Franke, Dag Alnæs, Klaus P. Ebmeier, Bogdan Draganski, Tobias Kaufmann, Lars T. Westlye, Tim Hahn, James H. Cole&lt;/p>
&lt;p>&lt;strong>DOI:&lt;/strong> &lt;a href="https://doi.org/10.1101/2021.05.16.444349" target="_blank" rel="noopener">https://doi.org/10.1101/2021.05.16.444349&lt;/a>&lt;/p></description></item></channel></rss>