HDR UK Site
The aim of the project at King’s College London was to evaluate machine learning algorithms developed for cardiac magnetic resonance imaging (CMR), trained on UK Biobank, on patient data in clinical CMR centres linked with HDR sites (e.g. St Thomas’, Barts BioResource).
In the short duration of the postdoc working on this grant, Dr Ines Machado (6 months until 12/2020), advances have been made for data from both UK biobank, with preliminary testing on patient data acquired at St. Thomas’ Hospital trust, resulting in a publication to the prestigious MICCAI conference satellite event STACOM. She also contributed to a second paper for that event, on cardiac MR image domain generalisation. Journal paper submissions for both double-blind, peer-reviewed, full-length conference publications are in preparation.
Project Team and Collaborators
- Professor Julia Schnabel, King’s College London and Helmholtz Center Munich & Technical University of Munich – project lead
- Dr Ines Machado, King’s College London – funded by HDR UK
- Dr Andrew King, King’s College London
- Prof Alistair Young, King’s College London
- Prof Claudia Prieto, King’s College London
- Prof Miguel Castelo-Branco, University of Coimbra
- Dr Devran Ugurl, King’s College London
- Dr Gastao Cruz, King’s College London
- Dr Bram Ruijsink, King’s College London and St. Thomas’ Hospital Trust
- Dr Kerstin Hammernik, Imperial College London and Technical University of Munich
- Steffen Petersen, NIHR Barts Biomedical Research Centre (BRC)
deep learning for image reconstruction; accelerated MRI; image segmentation; quality assessment; domain generalisation
Findings from health data research highlight opportunities for better healthcare planning and clinical management for patients with multimorbidity
1 December 2022
A population-study, enabled by Health Data Research UK (HDR UK) and part-funded by the British Heart Foundation Data Science Centre, provides the data and resources to help improve health and care...
HDR UK Applied Analytics Seminar led by Nicholas Mills and Dorien Kimenai
9 November 2022 at 2:00 pm
Novel insights on the diagnosis and prognosis of patients with suspected myocardial infarction in practice using High-STEACS trial and routinely collected health care data.
Generating research-ready, actionable, real-time and large-scale insights
29 September 2022 at 3:00 pm
Professor Richard Dobson will present on Generating research-ready, actionable, real-time and large-scale insights from routinely collected, unstructured (e.g. letters, notes, reports) as well...