<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Nils R. Winter | MANIFOLD Lab</title><link>https://manifold.cs.ucl.ac.uk/author/nils-r.-winter/</link><atom:link href="https://manifold.cs.ucl.ac.uk/author/nils-r.-winter/index.xml" rel="self" type="application/rss+xml"/><description>Nils R. Winter</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Sat, 01 Jan 2022 00:00:00 +0000</lastBuildDate><image><url>https://manifold.cs.ucl.ac.uk/media/icon_hu11734318148517933569.png</url><title>Nils R. Winter</title><link>https://manifold.cs.ucl.ac.uk/author/nils-r.-winter/</link></image><item><title>An uncertainty-aware, shareable, and transparent neural network architecture for brain-age modeling</title><link>https://manifold.cs.ucl.ac.uk/publication/an-uncertainty-aware-shareable-and-transparent-neural-network-architecture-for-brain-age-modeling/</link><pubDate>Sat, 01 Jan 2022 00:00:00 +0000</pubDate><guid>https://manifold.cs.ucl.ac.uk/publication/an-uncertainty-aware-shareable-and-transparent-neural-network-architecture-for-brain-age-modeling/</guid><description>&lt;p>&lt;strong>Authors:&lt;/strong> Tim Hahn, Jan Ernsting, Nils R. Winter, Vincent Holstein, Ramona Leenings, Marie Beisemann, Lukas Fisch, Kelvin Sarink, Daniel Emden, Nils Opel, Ronny Redlich, Jonathan Repple, Dominik Grotegerd, Susanne Meinert, Jochen G. Hirsch, Thoralf Niendorf, Beate Endemann, Fabian Bamberg, Thomas Kröncke, Robin Bülow, Henry Völzke, Oyunbileg von Stackelberg, Ramona Felizitas Sowade, Lale Umutlu, Börge Schmidt, Svenja Caspers, Harald Kugel, Tilo Kircher, Benjamin Risse, Christian Gaser, admin, Udo Dannlowski, Klaus Berger&lt;/p>
&lt;p>&lt;strong>DOI:&lt;/strong> &lt;a href="https://doi.org/10.1126/sciadv.abg9471" target="_blank" rel="noopener">https://doi.org/10.1126/sciadv.abg9471&lt;/a>&lt;/p></description></item><item><title>Editorial: Predicting Chronological Age From Structural Neuroimaging: The Predictive Analytics Competition 2019</title><link>https://manifold.cs.ucl.ac.uk/publication/editorial-predicting-chronological-age-from-structural-neuroimaging-the-predictive-analytics-competition-2019/</link><pubDate>Fri, 01 Jan 2021 00:00:00 +0000</pubDate><guid>https://manifold.cs.ucl.ac.uk/publication/editorial-predicting-chronological-age-from-structural-neuroimaging-the-predictive-analytics-competition-2019/</guid><description>&lt;p>&lt;strong>Authors:&lt;/strong> Lukas Fisch, Ramona Leenings, Nils R. Winter, Udo Dannlowski, Christian Gaser, admin, Tim Hahn&lt;/p>
&lt;p>&lt;strong>DOI:&lt;/strong> &lt;a href="https://doi.org/10.3389/fpsyt.2021.710932" target="_blank" rel="noopener">https://doi.org/10.3389/fpsyt.2021.710932&lt;/a>&lt;/p></description></item><item><title>Brain aging in major depressive disorder: results from the ENIGMA major depressive disorder working group</title><link>https://manifold.cs.ucl.ac.uk/publication/brain-aging-in-major-depressive-disorder-results-from-the-enigma-major-depressive-disorder-working-group/</link><pubDate>Wed, 01 Jan 2020 00:00:00 +0000</pubDate><guid>https://manifold.cs.ucl.ac.uk/publication/brain-aging-in-major-depressive-disorder-results-from-the-enigma-major-depressive-disorder-working-group/</guid><description/></item></channel></rss>