<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Uncertainty Quantification | Maria Monzon</title><link>https://mariamonzon.github.io/tags/uncertainty-quantification/</link><atom:link href="https://mariamonzon.github.io/tags/uncertainty-quantification/index.xml" rel="self" type="application/rss+xml"/><description>Uncertainty Quantification</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Tue, 20 Jan 2026 00:00:00 +0000</lastBuildDate><image><url>https://mariamonzon.github.io/media/icon_hu_a17d2bf575673c.png</url><title>Uncertainty Quantification</title><link>https://mariamonzon.github.io/tags/uncertainty-quantification/</link></image><item><title>Quantifying central canal stenosis prediction uncertainty in SpineNet with conformal prediction</title><link>https://mariamonzon.github.io/publications/spinenet-conformal-scirep/</link><pubDate>Tue, 20 Jan 2026 00:00:00 +0000</pubDate><guid>https://mariamonzon.github.io/publications/spinenet-conformal-scirep/</guid><description/></item><item><title>Uncertainty Quantification of Central Canal Stenosis Deep Learning Classifier From Lumbar Sagittal T2-Weighted MRI</title><link>https://mariamonzon.github.io/publications/stenosis-conformal-scirep/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://mariamonzon.github.io/publications/stenosis-conformal-scirep/</guid><description/></item></channel></rss>