Type
Funder
Country
—
ROR
—
Documents
5
through any edge
Papers
0
authorship edges
Awards made
4
3 grant numbers
Named as funder
5
no grant number
Identifiers
Funding
Read from the funding tables, never from the document count — that count includes authorship, so it ranks institutions, not funders.
What NIHR Barts Biomedical Research Centre, Queen Mary University of London has funded
4 awards under 3 distinct grant numbers, across 4 documents. A further 5 documents name it as a funder without a grant number — a weaker claim, counted separately.
Artificial intelligence in cardiovascular imaging: risks, mitigations and the path to safe implementationgrant NIHR203330 · 2025-06-27Using population-wide electronic health records for timely contemporary assessment of cardiovascular disease risk prediction model performance: COVID-19 impact on the SCORE2 modelsgrant NIHR203312 · 2026-03-27CAMS: Convolution and Attention-Free Mamba-Based Cardiac Image Segmentationgrant NIHR203330 · 2025-02-26Precision, prognosis, and clinical performance of rounded and trabecular segmentation of cine cardiovascular magnetic resonancegrant FS/18/21/33447 · 2025-11-25
4 of 9 funding edges