research
∙
05/26/2023
Contouring by Unit Vector Field Regression
This work introduces a simple deep-learning based method to delineate co...
share
research
∙
03/30/2023
Vision-Language Modelling For Radiological Imaging and Reports In The Low Data Regime
This paper explores training medical vision-language models (VLMs) – whe...
research
∙
06/27/2022
Context-Aware Transformers For Spinal Cancer Detection and Radiological Grading
This paper proposes a novel transformer-based model architecture for med...
research
∙
05/03/2022
SpineNetV2: Automated Detection, Labelling and Radiological Grading Of Clinical MR Scans
This technical report presents SpineNetV2, an automated tool which: (i) ...
research
∙
07/14/2021
Self-Supervised Multi-Modal Alignment for Whole Body Medical Imaging
This paper explores the use of self-supervised deep learning in medical ...
research
∙
06/24/2021
A Deep Learning Approach to Private Data Sharing of Medical Images Using Conditional GANs
Sharing data from clinical studies can facilitate innovative data-driven...
research
∙
07/06/2020
A Convolutional Approach to Vertebrae Detection and Labelling in Whole Spine MRI
We propose a novel convolutional method for the detection and identifica...
research
∙
01/30/2020
The Ladder Algorithm: Finding Repetitive Structures in Medical Images by Induction
In this paper we introduce the Ladder Algorithm; a novel recurrent algor...
research
∙
08/01/2017
Self-Supervised Learning for Spinal MRIs
A significant proportion of patients scanned in a clinical setting have ...
research
∙
05/08/2017