Type
Funder
Country
—
ROR
—
Documents
4
through any edge
Papers
0
authorship edges
Awards made
5
2 grant numbers
Named as funder
4
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 QuantIC has funded
5 awards under 2 distinct grant numbers, across 4 documents. A further 4 documents name it as a funder without a grant number — a weaker claim, counted separately.
Glfnet: Global-Local (Frequency) Filter Networks for Efficient Medical Image Segmentationgrant EP/T00097X/1 · 2024-05-27Efficient Bayesian deep inversiongrant EP/M01326X/1 · 2023-12-22Efficient Bayesian deep inversiongrant EP/T00097X/1 · 2023-12-22Optical neural networks trained in situ with reinforcement learninggrant EP/T00097X/1 · 2024-06-182402.06339grant EP/T00097X/1
5 of 9 funding edges