<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Research | Maria Monzon</title><link>https://mariamonzon.github.io/publications/</link><atom:link href="https://mariamonzon.github.io/publications/index.xml" rel="self" type="application/rss+xml"/><description>Research</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Mon, 29 Jun 2026 00:00:00 +0000</lastBuildDate><image><url>https://mariamonzon.github.io/media/icon_hu_a17d2bf575673c.png</url><title>Research</title><link>https://mariamonzon.github.io/publications/</link></image><item><title>Be Indiscrete: The Benefits of Learning Continuous Spine Degeneration Severity Scores</title><link>https://mariamonzon.github.io/publications/be-indiscrete-saimi/</link><pubDate>Mon, 01 Jun 2026 00:00:00 +0000</pubDate><guid>https://mariamonzon.github.io/publications/be-indiscrete-saimi/</guid><description/></item><item><title>Be Indiscrete: The Benefits of Learning Continuous Spine Degeneration Severity Scores</title><link>https://mariamonzon.github.io/publications/spine-ranking-miccai/</link><pubDate>Mon, 01 Jun 2026 00:00:00 +0000</pubDate><guid>https://mariamonzon.github.io/publications/spine-ranking-miccai/</guid><description>&lt;p&gt;Carried out during a visiting research stay at the &lt;strong&gt;University of Oxford — Visual Geometry Group&lt;/strong&gt; (Prof. Andrew Zisserman&amp;rsquo;s group). Keywords: Pairwise Ranking · Ordinal Regression · Spine Degeneration · MRI.&lt;/p&gt;</description></item><item><title>Beyond Fluency: A Clinical Benchmark and Anomaly-Enhanced Baseline for Spine MRI Report Generation</title><link>https://mariamonzon.github.io/publications/spine-report-cvpr/</link><pubDate>Mon, 01 Jun 2026 00:00:00 +0000</pubDate><guid>https://mariamonzon.github.io/publications/spine-report-cvpr/</guid><description/></item><item><title>Segmentation Pre-Training for Efficient Spine Degeneration Grading</title><link>https://mariamonzon.github.io/publications/spine-pretraining-miccai-ema/</link><pubDate>Mon, 01 Jun 2026 00:00:00 +0000</pubDate><guid>https://mariamonzon.github.io/publications/spine-pretraining-miccai-ema/</guid><description/></item><item><title>The role of biopsychosocial factors in classifying pain intensity across various chronic pain conditions</title><link>https://mariamonzon.github.io/publications/biopsychosocial-pain-scirep/</link><pubDate>Fri, 29 May 2026 00:00:00 +0000</pubDate><guid>https://mariamonzon.github.io/publications/biopsychosocial-pain-scirep/</guid><description/></item><item><title>Generative AI for spatial tumor growth on MRI: a proof-of-principle study in pediatric diffuse midline glioma</title><link>https://mariamonzon.github.io/publications/brain-tumor-bmc/</link><pubDate>Mon, 18 May 2026 00:00:00 +0000</pubDate><guid>https://mariamonzon.github.io/publications/brain-tumor-bmc/</guid><description/></item><item><title>Open and reproducible research in musculoskeletal imaging: Why it matters and how to implement it with the guidelines of the ORMIR community</title><link>https://mariamonzon.github.io/publications/ormir-guidelines-zenodo/</link><pubDate>Wed, 01 Apr 2026 00:00:00 +0000</pubDate><guid>https://mariamonzon.github.io/publications/ormir-guidelines-zenodo/</guid><description/></item><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>ORMIR-MIDS: An open standard for curating and sharing musculoskeletal imaging data</title><link>https://mariamonzon.github.io/publications/ormir-mids-jbmr/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://mariamonzon.github.io/publications/ormir-mids-jbmr/</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><item><title>A data-driven analysis of lumbar steroid injection satisfaction in patients with chronic low back pain</title><link>https://mariamonzon.github.io/publications/lbp-injection-scirep/</link><pubDate>Mon, 01 Sep 2025 00:00:00 +0000</pubDate><guid>https://mariamonzon.github.io/publications/lbp-injection-scirep/</guid><description/></item><item><title>Enhancing Low Back Pain Assessment with Diffusion Models for Lumbar Spine MRI Segmentation</title><link>https://mariamonzon.github.io/publications/spinesegdiff-midl/</link><pubDate>Tue, 01 Jul 2025 00:00:00 +0000</pubDate><guid>https://mariamonzon.github.io/publications/spinesegdiff-midl/</guid><description/></item><item><title>Automatic Determination of a Motion Parameter of the Heart</title><link>https://mariamonzon.github.io/publications/cardiac-motion-patent/</link><pubDate>Tue, 04 Mar 2025 00:00:00 +0000</pubDate><guid>https://mariamonzon.github.io/publications/cardiac-motion-patent/</guid><description/></item><item><title>Diffusion-Based Semantic Segmentation of Lumbar Spine MRI Scans of Lower Back Pain Patients</title><link>https://mariamonzon.github.io/publications/diffusion-seg-ml4h/</link><pubDate>Tue, 10 Dec 2024 00:00:00 +0000</pubDate><guid>https://mariamonzon.github.io/publications/diffusion-seg-ml4h/</guid><description/></item><item><title>A Fully Automated Pipeline for Extracting Vertebral Compression Parameters from Clinical MRI Scans</title><link>https://mariamonzon.github.io/publications/vertebral-compression-isbi/</link><pubDate>Mon, 27 May 2024 00:00:00 +0000</pubDate><guid>https://mariamonzon.github.io/publications/vertebral-compression-isbi/</guid><description/></item><item><title>Estimation of flea beetle damage in the field using a multistage deep learning-based solution</title><link>https://mariamonzon.github.io/publications/flea-beetle-aia/</link><pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate><guid>https://mariamonzon.github.io/publications/flea-beetle-aia/</guid><description/></item><item><title>Fully automated AI-based cardiac motion parameter extraction — application to mitral and tricuspid valves on long-axis cine MR images</title><link>https://mariamonzon.github.io/publications/cardiac-motion-ejr/</link><pubDate>Fri, 01 Sep 2023 00:00:00 +0000</pubDate><guid>https://mariamonzon.github.io/publications/cardiac-motion-ejr/</guid><description/></item><item><title>Fully automatic extraction of mitral valve annulus motion parameters on long-axis CINE CMR using deep learning</title><link>https://mariamonzon.github.io/publications/mitral-valve-ismrm/</link><pubDate>Sat, 01 May 2021 00:00:00 +0000</pubDate><guid>https://mariamonzon.github.io/publications/mitral-valve-ismrm/</guid><description/></item></channel></rss>