<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Alessandra Scaravilli | MANIFOLD Lab</title><link>https://manifold-cs.ml/author/alessandra-scaravilli/</link><atom:link href="https://manifold-cs.ml/author/alessandra-scaravilli/index.xml" rel="self" type="application/rss+xml"/><description>Alessandra Scaravilli</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.ml/media/icon_hu11734318148517933569.png</url><title>Alessandra Scaravilli</title><link>https://manifold-cs.ml/author/alessandra-scaravilli/</link></image><item><title>Assessing brain involvement in Fabry disease with deep learning and the brain‐age paradigm</title><link>https://manifold-cs.ml/publication/assessing-brain-involvement-in-fabry-disease-with-deep-learning-and-the-brain-age-paradigm/</link><pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate><guid>https://manifold-cs.ml/publication/assessing-brain-involvement-in-fabry-disease-with-deep-learning-and-the-brain-age-paradigm/</guid><description>&lt;p>&lt;strong>Authors:&lt;/strong> Alfredo Montella, Mario Tranfa, Alessandra Scaravilli, Frederik Barkhof, Arturo Brunetti, James Cole, Michela Gravina, Stefano Marrone, Daniele Riccio, Eleonora Riccio, Carlo Sansone, Letizia Spinelli, Maria Petracca, Antonio Pisani, Sirio Cocozza, Giuseppe Pontillo&lt;/p>
&lt;p>&lt;strong>DOI:&lt;/strong> &lt;a href="https://doi.org/10.1002/hbm.26599" target="_blank" rel="noopener">https://doi.org/10.1002/hbm.26599&lt;/a>&lt;/p></description></item></channel></rss>