Welikala, Roshan, Fajtl, Jiri, Johnson, Gordon, Rahman, Farzana, Podoleanu, Razvan, Remagnino, Paolo, Freeman, Ellen E., Chambers, Ryan, Bolter, Louis, Anderson, John, Olvera-Barrios, Abraham, Warwick, Alasdair, Foster, Paul J., Shakespeare, Royce, Ganguly, Rahul, Egan, Catherine, Tufail, Adnan, Owen, Christopher G., Rudnicka, Alicja R. and Barman, Sarah A. (2024) Artificial intelligence-enabled retinal vasculometry at scale utilizing the UK Biobank, CLSA, and NEL DESP datasets. In: IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI’24); 10-13 Nov 2024, Houston, U.S.. (In Press)

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Item Type:	Conference or Workshop Item (Paper)
Event Title:	IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI’24)
Organising Body:	Institute of Electrical and Electronics Engineers
Research Area:	Research Areas > Biological sciences Research Areas > Computer science and informatics
Faculty, School or Research Centre:	Faculty of Science, Engineering and Computing Faculty of Science, Engineering and Computing > School of Computer Science and Mathematics
Related URLs:	Publisher
Date Deposited:	15 Oct 2024 14:02
Last Modified:	15 Oct 2024 14:08
URI:	https://eprints.kingston.ac.uk/id/eprint/55919

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