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).
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).
palau-b.
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.
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.
Quantifying central canal stenosis prediction uncertainty in SpineNet with conformal prediction
Conformal prediction to calibrate and quantify the uncertainty of SpineNet central-canal-stenosis grading on lumbar MRI, giving statistically valid prediction sets. Scientific …
cina-a.
Uncertainty Quantification of Central Canal Stenosis Deep Learning Classifier From Lumbar Sagittal T2-Weighted MRI
Monte-Carlo dropout and test-time augmentation to quantify uncertainty in a central-canal stenosis grading classifier. JOR Spine, 2026.
brenzikofer-a.
A data-driven analysis of lumbar steroid injection satisfaction in patients with chronic low back pain
Machine-learning prediction of lumbar steroid injection satisfaction from multimodal clinical data (0.865 AP). Scientific Reports (Nature), 2025.
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.
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.
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.