7 papers
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…
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…
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…
X-Diffusion: Generating Detailed 3D MRI Volumes From a Single Image Using Cross-Sectional Diffusion Models
Emmanuelle Bourigault, Abdullah Hamdi, Amir Jamaludin
Magnetic Resonance Imaging (MRI) is a crucial diagnostic tool, but high-resolution scans are often slow and expensive due to extensive data acquisition requirements. Traditional MR…
UKBOB: One Billion MRI Labeled Masks for Generalizable 3D Medical Image Segmentation
Emmanuelle Bourigault, Amir Jamaludin, Abdullah Hamdi
In medical imaging, the primary challenge is collecting large-scale labeled data due to privacy concerns, logistics, and high labeling costs. In this work, we present the UK Bioban…
3D Spine Shape Estimation from Single 2D DXA
Emmanuelle Bourigault, Amir Jamaludin, Andrew Zisserman
Scoliosis is traditionally assessed based solely on 2D lateral deviations, but recent studies have also revealed the importance of other imaging planes in understanding the deforma…