15 citations · 26 across the 5 of their papers we have counts for
3 papers · 1 filter
Predicting Spine Geometry and Scoliosis from DXA Scans
Amir Jamaludin, Timor Kadir, Emma Clark +1
Our objective in this paper is to estimate spine curvature in DXA scans. To this end we first train a neural network to predict the middle spine curve in the scan, and then use an…
Self-Supervised Multi-Modal Alignment for Whole Body Medical Imaging
Rhydian Windsor, Amir Jamaludin, Timor Kadir +1
This paper explores the use of self-supervised deep learning in medical imaging in cases where two scan modalities are available for the same subject. Specifically, we use a large…
Self-Supervised Learning for Spinal MRIs
Amir Jamaludin, Timor Kadir, Andrew Zisserman
A significant proportion of patients scanned in a clinical setting have follow-up scans. We show in this work that such longitudinal scans alone can be used as a form of 'free' sel…