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).
Self-supervised segmentation pre-training for label-efficient spine degeneration grading on MRI. MICCAI EMA Workshop 2026 (under review).
Clinical benchmark and anomaly-enhanced vision-language baseline for spine-MRI report generation. CVPR Workshops 2026 (CV4Clinic).
SpineRankNet — learning continuous spine-degeneration severity scores by pairwise ranking, with Oxford VGG. MICCAI 2026.
Lightning talk on learning continuous (rather than discrete) spine degeneration severity scores. SAIMI Symposium on AI in Medical Imaging, 2026.
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.
Poster on diffusion-based semantic segmentation of lumbar spine MRI in low-back-pain patients. ML4H Symposium, 2024.
Automated pipeline to extract vertebral compression parameters from clinical lumbar-spine MRI. Poster, IEEE ISBI 2024.
Deep-learning extraction of mitral-valve annulus motion parameters from long-axis cine cardiac MRI. ISMRM 29th Annual Meeting, 2021.