Paper-Conference

Segmentation Pre-Training for Efficient Spine Degeneration Grading

Self-supervised segmentation pre-training for label-efficient spine degeneration grading on MRI. MICCAI EMA Workshop 2026 (under review).

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Maria Monzon
Beyond Fluency: A Clinical Benchmark and Anomaly-Enhanced Baseline for Spine MRI Report Generation featured image

Beyond Fluency: A Clinical Benchmark and Anomaly-Enhanced Baseline for Spine MRI Report Generation

Clinical benchmark and anomaly-enhanced vision-language baseline for spine-MRI report generation. CVPR Workshops 2026 (CV4Clinic).

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Be Indiscrete: The Benefits of Learning Continuous Spine Degeneration Severity Scores featured image

Be Indiscrete: The Benefits of Learning Continuous Spine Degeneration Severity Scores

SpineRankNet — learning continuous spine-degeneration severity scores by pairwise ranking, with Oxford VGG. MICCAI 2026.

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Maria Monzon

Be Indiscrete: The Benefits of Learning Continuous Spine Degeneration Severity Scores

Lightning talk on learning continuous (rather than discrete) spine degeneration severity scores. SAIMI Symposium on AI in Medical Imaging, 2026.

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Maria Monzon
Enhancing Low Back Pain Assessment with Diffusion Models for Lumbar Spine MRI Segmentation featured image

Enhancing Low Back Pain Assessment with Diffusion Models for Lumbar Spine MRI Segmentation

Diffusion-based framework (SpineSegDiff) for semantic segmentation of lumbar spine MRI in low-back-pain patients, benchmarked on the SPIDER dataset. MIDL, PMLR v301, 2025.

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Maria Monzon

Diffusion-Based Semantic Segmentation of Lumbar Spine MRI Scans of Lower Back Pain Patients

Poster on diffusion-based semantic segmentation of lumbar spine MRI in low-back-pain patients. ML4H Symposium, 2024.

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Maria Monzon

A Fully Automated Pipeline for Extracting Vertebral Compression Parameters from Clinical MRI Scans

Automated pipeline to extract vertebral compression parameters from clinical lumbar-spine MRI. Poster, IEEE ISBI 2024.

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Maria Monzon

Fully automatic extraction of mitral valve annulus motion parameters on long-axis CINE CMR using deep learning

Deep-learning extraction of mitral-valve annulus motion parameters from long-axis cine cardiac MRI. ISMRM 29th Annual Meeting, 2021.

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Maria Monzon