<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Andre F. Marquand | MANIFOLD Lab</title><link>https://manifold.cs.ucl.ac.uk/author/andre-f.-marquand/</link><atom:link href="https://manifold.cs.ucl.ac.uk/author/andre-f.-marquand/index.xml" rel="self" type="application/rss+xml"/><description>Andre F. Marquand</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Mon, 01 Jan 2024 00:00:00 +0000</lastBuildDate><image><url>https://manifold.cs.ucl.ac.uk/media/icon_hu11734318148517933569.png</url><title>Andre F. Marquand</title><link>https://manifold.cs.ucl.ac.uk/author/andre-f.-marquand/</link></image><item><title>Personalizing progressive changes to brain structure in Alzheimer's disease using normative modeling</title><link>https://manifold.cs.ucl.ac.uk/publication/personalizing-progressive-changes-to-brain-structure-in-alzheimer-s-disease-using-normative-modeling/</link><pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate><guid>https://manifold.cs.ucl.ac.uk/publication/personalizing-progressive-changes-to-brain-structure-in-alzheimer-s-disease-using-normative-modeling/</guid><description>&lt;p>&lt;strong>Authors:&lt;/strong> Serena Verdi, Saige Rutherford, Charlotte Fraza, Duygu Tosun, Andre Altmann, Lars Lau Raket, Jonathan M. Schott, Andre F. Marquand, admin&lt;/p>
&lt;p>&lt;strong>DOI:&lt;/strong> &lt;a href="https://doi.org/10.1002/alz.14174" target="_blank" rel="noopener">https://doi.org/10.1002/alz.14174&lt;/a>&lt;/p></description></item><item><title>Personalising Alzheimer’s Disease progression using brain atrophy markers</title><link>https://manifold.cs.ucl.ac.uk/publication/personalising-alzheimer-s-disease-progression-using-brain-atrophy-markers/</link><pubDate>Sun, 01 Jan 2023 00:00:00 +0000</pubDate><guid>https://manifold.cs.ucl.ac.uk/publication/personalising-alzheimer-s-disease-progression-using-brain-atrophy-markers/</guid><description>&lt;p>&lt;strong>Authors:&lt;/strong> Serena Verdi, Saige Rutherford, Charlotte Fraza, Duygu Tosun, Andre Altmann, Lars Lau Raket, Jonathan M. Schott, Andre F. Marquand, admin&lt;/p>
&lt;p>&lt;strong>DOI:&lt;/strong> &lt;a href="https://doi.org/10.1101/2023.06.15.23291418" target="_blank" rel="noopener">https://doi.org/10.1101/2023.06.15.23291418&lt;/a>&lt;/p></description></item><item><title>Revealing Individual Neuroanatomical Heterogeneity in Alzheimer Disease Using Neuroanatomical Normative Modeling</title><link>https://manifold.cs.ucl.ac.uk/publication/revealing-individual-neuroanatomical-heterogeneity-in-alzheimer-disease-using-neuroanatomical-normative-modeling/</link><pubDate>Sun, 01 Jan 2023 00:00:00 +0000</pubDate><guid>https://manifold.cs.ucl.ac.uk/publication/revealing-individual-neuroanatomical-heterogeneity-in-alzheimer-disease-using-neuroanatomical-normative-modeling/</guid><description/></item><item><title>Revealing Individual Neuroanatomical Heterogeneity in Alzheimer’s Disease</title><link>https://manifold.cs.ucl.ac.uk/publication/revealing-individual-neuroanatomical-heterogeneity-in-alzheimer-s-disease/</link><pubDate>Sat, 01 Jan 2022 00:00:00 +0000</pubDate><guid>https://manifold.cs.ucl.ac.uk/publication/revealing-individual-neuroanatomical-heterogeneity-in-alzheimer-s-disease/</guid><description>&lt;p>&lt;strong>Authors:&lt;/strong> Serena Verdi, Seyed Mostafa Kia, Keir Yong, Duygu Tosun, Jonathan M. Schott, Andre F. Marquand, admin&lt;/p>
&lt;p>&lt;strong>DOI:&lt;/strong> &lt;a href="https://doi.org/10.1101/2022.06.30.22277053" target="_blank" rel="noopener">https://doi.org/10.1101/2022.06.30.22277053&lt;/a>&lt;/p></description></item><item><title>Rapid processing and quantitative evaluation of multicontrast EPImix scans for adaptive multimodal imaging</title><link>https://manifold.cs.ucl.ac.uk/publication/rapid-processing-and-quantitative-evaluation-of-multicontrast-epimix-scans-for-adaptive-multimodal-imaging/</link><pubDate>Fri, 01 Jan 2021 00:00:00 +0000</pubDate><guid>https://manifold.cs.ucl.ac.uk/publication/rapid-processing-and-quantitative-evaluation-of-multicontrast-epimix-scans-for-adaptive-multimodal-imaging/</guid><description>&lt;p>&lt;strong>Authors:&lt;/strong> František Váša, Harriet Hobday, Ryan A. Stanyard, Richard E. Daws, Vincent Giampietro, Owen O’Daly, David J. Lythgoe, Jakob Seidlitz, Stefan Skare, Steven C. R. Williams, Andre F. Marquand, Robert Leech, admin&lt;/p>
&lt;p>&lt;strong>DOI:&lt;/strong> &lt;a href="https://doi.org/10.1101/2021.02.12.430956" target="_blank" rel="noopener">https://doi.org/10.1101/2021.02.12.430956&lt;/a>&lt;/p></description></item><item><title>Rapid processing and quantitative evaluation of structural brain scans for adaptive multimodal imaging</title><link>https://manifold.cs.ucl.ac.uk/publication/rapid-processing-and-quantitative-evaluation-of-structural-brain-scans-for-adaptive-multimodal-imaging/</link><pubDate>Fri, 01 Jan 2021 00:00:00 +0000</pubDate><guid>https://manifold.cs.ucl.ac.uk/publication/rapid-processing-and-quantitative-evaluation-of-structural-brain-scans-for-adaptive-multimodal-imaging/</guid><description>&lt;p>&lt;strong>Authors:&lt;/strong> František Váša, Harriet Hobday, Ryan A. Stanyard, Richard E. Daws, Vincent Giampietro, Owen O&amp;rsquo;Daly, David J. Lythgoe, Jakob Seidlitz, Stefan Skare, Steven C. R. Williams, Andre F. Marquand, Robert Leech, admin&lt;/p>
&lt;p>&lt;strong>DOI:&lt;/strong> &lt;a href="https://doi.org/10.1002/hbm.25755" target="_blank" rel="noopener">https://doi.org/10.1002/hbm.25755&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>