| Using artificial intelligence to reduce diagnostic workload without compromising detection of urinary tract infections RJ Burton, M Albur, M Eberl, SM Cuff BMC medical informatics and decision making 19, 1-11, 2019 | 94 | 2019 |
| Zoledronate rescues immunosuppressed monocytes in sepsis patients L Raffray, RJ Burton, SE Baker, MP Morgan, M Eberl Immunology 159 (1), 88-95, 2020 | 14 | 2020 |
| CytoPy: an autonomous cytometry analysis framework RJ Burton, R Ahmed, SM Cuff, S Baker, A Artemiou, M Eberl PLOS Computational Biology 17 (6), e1009071, 2021 | 10 | 2021 |
| Examining the utility of extended laboratory panel testing in the emergency department for risk stratification of patients with COVID-19: a single-centre retrospective service … MJ Ponsford, RJ Burton, L Smith, PY Khan, R Andrews, S Cuff, L Tan, ... Journal of clinical pathology 75 (4), 255-262, 2022 | 8 | 2022 |
| GeoWaVe: geometric median clustering with weighted voting for ensemble clustering of cytometry data RJ Burton, SM Cuff, MP Morgan, A Artemiou, M Eberl Bioinformatics 39 (1), btac751, 2023 | 4 | 2023 |
| Covid-19 AA Jensen, L Wahab, E O'Connor, G O'Dowd, S Phelan, MJ Ponsford, ... New York, 2020 | 3 | 2020 |
| Conventional and unconventional T-cell responses contribute to the prediction of clinical outcome and causative bacterial pathogen in sepsis patients RJ Burton, L Raffray, LM Moet, SM Cuff, DA White, SE Baker, B Moser, ... Clinical and Experimental Immunology 216 (3), 293-306, 2024 | | 2024 |
| Identifying immunological biomarkers of sepsis using cytometry bioinformatics and machine learning RJ Burton Cardiff University, 2022 | | 2022 |
Matthias EberlCardiff University, School of Medicine在 cf.ac.uk 的电子邮件经过验证
Matthias EberlCardiff University, School of Medicine在 cf.ac.uk 的电子邮件经过验证