| EAACI guidelines on environmental science in allergic diseases and asthma–leveraging artificial intelligence and machine learning to develop a causality model in exposomics MH Shamji, M Ollert, IM Adcock, O Bennett, A Favaro, R Sarama, ... Allergy 78 (7), 1742-1757, 2023 | 39 | 2023 |
| Low frequency oscillating gradient spin-echo sequences improve sensitivity to axon diameter: An experimental study in viable nerve tissue LS Kakkar, OF Bennett, B Siow, S Richardson, A Ianuş, T Quick, ... Neuroimage 182, 314-328, 2018 | 37 | 2018 |
| Learning to see the invisible: A data‐driven approach to finding the underlying patterns of abnormality in visually normal brain magnetic resonance images in patients with … OF Bennett, B Kanber, C Hoskote, MJ Cardoso, S Ourselin, JS Duncan, ... Epilepsia 60 (12), 2499-2507, 2019 | 23 | 2019 |
| Spatial variation in heart failure and air pollution in Warwickshire, UK: an investigation of small scale variation at the ward level O Bennett, NB Kandala, C Ji, J Linnane, A Clarke The Lancet 384, S20, 2014 | 17 | 2014 |
| An overview of the National COVID-19 Chest Imaging Database: data quality and cohort analysis D Cushnan, O Bennett, R Berka, O Bertolli, A Chopra, S Dorgham, ... GigaScience 10 (11), giab076, 2021 | 13 | 2021 |
| Learning how to see the invisible-using machine learning to find underlying abnormality patterns in reportedly normal MR brain images from patients with epilepsy O Bennett, J Cardoso, JS Duncan, G Winston, S Ourselin Proceedings. ISMRM, 2017 | 1 | 2017 |
| An overview of the National COVID-19 Chest Imaging Database: data quality and cohort analysis (preprint) D Cushnan, O Bennett, R Berka, O Bertolli, A Chopra, S Dorgham, ... | | 2021 |
| Low frequency oscillating gradient spin-echo sequences improves sensitivity to axon diameter–an experimental validation study in live nerve tissue LS Kakkar, O Bennett, D Atkinson, B Siow, J Phillips, S Richardson, ... | | |