activity
20172026
most citedYou said that?

68 citations · 103 across the 16 of their papers we have counts for

collaborators

18 papers

cs.CV2026

Predicting the Progression of Adolescent Idiopathic Scoliosis

Owen Pullen, Amir Jamaludin, Andrew Zisserman

Adolescent Idiopathic Scoliosis is defined as a lateral curvature of the spine that develops during adolescence, without known cause. The condition can result in significant pain a…

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…

cs.CV2025

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…

eess.IV2024★ 1 cited

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…

eess.IV2024★ 3 cited

Automated Spinal MRI Labelling from Reports Using a Large Language Model

Robin Y. Park, Rhydian Windsor, Amir Jamaludin +1

We propose a general pipeline to automate the extraction of labels from radiology reports using large language models, which we validate on spinal MRI reports. The efficacy of our…