| Temporal convolutional networks allow early prediction of events in critical care FJR Catling, AH Wolff Journal of the American Medical Informatics Association 27 (3), 355-365, 2020 | 48 | 2020 |
| Towards automated clinical coding F Catling, GP Spithourakis, S Riedel International journal of medical informatics 120, 50-61, 2018 | 48 | 2018 |
| Highlighting uncertainty in clinical risk prediction using a model of emergency laparotomy mortality risk JF Mathiszig-Lee, FJR Catling, SR Moonesinghe, SJ Brett npj Digital Medicine 5 (1), 1-8, 2022 | 10 | 2022 |
| A prescribing e–tutorial for medical students F Catling, J Williams, R Baker The clinical teacher 11 (1), 33-37, 2014 | 10 | 2014 |
| Scar cosmesis: assessment, perception, and impact on body image and quality of life—A systematic review P Sethukumar, Z Awad, FJR Catling, NS Tolley Otolaryngology—Head and Neck Surgery 151 (1_suppl), P144-P144, 2014 | 4 | 2014 |
| Towards personalised treatment in septic shock via Bayesian inversion of a one-dimensional vascular model FJR Catling, KH Parker, AD Hughes, S Harris, AC Gordon Journal of Critical Care 81, 154555, 2024 | | 2024 |
| Can Machine Learning Personalize Cardiovascular Therapy in Sepsis? FJR Catling, M Nagendran, P Festor, Z Bien, S Harris, AA Faisal, ... Critical Care Explorations 6 (5), e1087, 2024 | | 2024 |
| Data-driven decision support for individualised cardiovascular resuscitation in sepsis: a scoping review and primer for clinicians FJR Catling, M Nagendran, P Festor, Z Bien, S Harris, AA Faisal, ... medRxiv, 2023.08. 26.23294666, 2023 | | 2023 |
| An audit of the management of severe sepsis in an emergency department F Catling, S Allen Emerg Med J 28 (6), 507-12, 2011 | | 2011 |
