15 citations · 31 across the 10 of their papers we have counts for
6 papers · 1 filter
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…
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…
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…
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…
SpineNetV2: Automated Detection, Labelling and Radiological Grading Of Clinical MR Scans
Rhydian Windsor, Amir Jamaludin, Timor Kadir +1
This technical report presents SpineNetV2, an automated tool which: (i) detects and labels vertebral bodies in clinical spinal magnetic resonance (MR) scans across a range of commo…
A Convolutional Approach to Vertebrae Detection and Labelling in Whole Spine MRI
Rhydian Windsor, Amir Jamaludin, Timor Kadir +1
We propose a novel convolutional method for the detection and identification of vertebrae in whole spine MRIs. This involves using a learnt vector field to group detected vertebrae…