3 papers
cs.CV2026
Segmentation Pre-training for Label-Efficient Lumbar Spine Degeneration Grading
Monzon Maria, Zisserman Andrew, Jutzeler Catherine R. +1
Automated assessment of degenerative pathology in the lumbar spine on magnetic resonance imaging (MRI) requires access to large-scale datasets of expert-annotated radiological grad…
cs.CV2026
Be Indiscrete: The Benefits of Learning Continuous Spine Degeneration Severity Scores
Maria Monzon, Andrew Zisserman, Robin Y. Park +2
Lumbar spine degeneration is a major contributor to chronic low back pain and is routinely assessed on MRI using ordinal grading systems, e.g. normal, mild, moderate, severe. Conse…
eess.IV2026
Rendering Novel Views of MRI Using 3D Gaussian Splatting
Robin Y. Park, Mark C. Eid, Rhydian Windsor +4
The objective of this paper is to improve radiological gradings measured on MRIs of spines, by resampling scans so that the new view planes are better aligned with the target anato…