<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Christian Gaser | MANIFOLD Lab</title><link>https://manifold-cs.ml/author/christian-gaser/</link><atom:link href="https://manifold-cs.ml/author/christian-gaser/index.xml" rel="self" type="application/rss+xml"/><description>Christian Gaser</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Wed, 01 Jan 2025 00:00:00 +0000</lastBuildDate><image><url>https://manifold-cs.ml/media/icon_hu11734318148517933569.png</url><title>Christian Gaser</title><link>https://manifold-cs.ml/author/christian-gaser/</link></image><item><title>Does restrictive anorexia nervosa impact brain aging? A machine learning approach to estimate age based on brain structure</title><link>https://manifold-cs.ml/publication/does-restrictive-anorexia-nervosa-impact-brain-aging-a-machine-learning-approach-to-estimate-age-based-on-brain-structure/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://manifold-cs.ml/publication/does-restrictive-anorexia-nervosa-impact-brain-aging-a-machine-learning-approach-to-estimate-age-based-on-brain-structure/</guid><description>&lt;p>&lt;strong>Authors:&lt;/strong> Yubraj Gupta, Feliberto de la Cruz, Katrin Rieger, Monica di Giuliano, Christian Gaser, James Cole, Lauren Breithaupt, Laura M. Holsen, Kamryn T. Eddy, Jennifer J. Thomas, Suheyla Cetin-Karayumak, Marek Kubicki, Elizabeth A. Lawson, Karen K. Miller, Madhusmita Misra, Andy Schumann, Karl-Jürgen Bär&lt;/p>
&lt;p>&lt;strong>DOI:&lt;/strong> &lt;a href="https://doi.org/10.1016/j.compbiomed.2025.110484" target="_blank" rel="noopener">https://doi.org/10.1016/j.compbiomed.2025.110484&lt;/a>&lt;/p></description></item><item><title>An uncertainty-aware, shareable, and transparent neural network architecture for brain-age modeling</title><link>https://manifold-cs.ml/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.ml/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, James H. Cole, 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.ml/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.ml/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, James H. Cole, 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></channel></rss>