7 citations · 15 across the 8 of their papers we have counts for
9 papers
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…
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…
Contouring by Unit Vector Field Regression
Amir Jamaludin, Sarim Ather, Timor Kadir +1
This work introduces a simple deep-learning based method to delineate contours by `walking' along learnt unit vector fields. We demonstrate the effectiveness of our pipeline on the…
Vision-Language Modelling For Radiological Imaging and Reports In The Low Data Regime
Rhydian Windsor, Amir Jamaludin, Timor Kadir +1
This paper explores training medical vision-language models (VLMs) -- where the visual and language inputs are embedded into a common space -- with a particular focus on scenarios…
Context-Aware Transformers For Spinal Cancer Detection and Radiological Grading
Rhydian Windsor, Amir Jamaludin, Timor Kadir +1
This paper proposes a novel transformer-based model architecture for medical imaging problems involving analysis of vertebrae. It considers two applications of such models in MR im…
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…
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…
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…
The Ladder Algorithm: Finding Repetitive Structures in Medical Images by Induction
Rhydian Windsor, Amir Jamaludin
In this paper we introduce the Ladder Algorithm; a novel recurrent algorithm to detect repetitive structures in natural images with high accuracy using little training data. We the…