| Convolutional recurrent neural networks for glucose prediction K Li, J Daniels, C Liu, P Herrero, P Georgiou IEEE journal of biomedical and health informatics 24 (2), 603-613, 2019 | 325 | 2019 |
| Deep learning for diabetes: a systematic review T Zhu, K Li, P Herrero, P Georgiou IEEE Journal of Biomedical and Health Informatics 25 (7), 2744-2757, 2020 | 201 | 2020 |
| A systematic review of clinical decision support systems for antimicrobial management: are we failing to investigate these interventions appropriately? TM Rawson, LSP Moore, B Hernandez, E Charani, E Castro-Sanchez, ... Clinical Microbiology and Infection 23 (8), 524-532, 2017 | 184 | 2017 |
| GluNet: A deep learning framework for accurate glucose forecasting K Li, C Liu, T Zhu, P Herrero, P Georgiou IEEE journal of biomedical and health informatics 24 (2), 414-423, 2019 | 179 | 2019 |
| A Deep Learning Algorithm for Personalized Blood Glucose Prediction. T Zhu, K Li, P Herrero, J Chen, P Georgiou KDH@ IJCAI, 64-78, 2018 | 145 | 2018 |
| Dilated recurrent neural networks for glucose forecasting in type 1 diabetes T Zhu, K Li, J Chen, P Herrero, P Georgiou Journal of Healthcare Informatics Research 4, 308-324, 2020 | 122 | 2020 |
| Advanced insulin bolus advisor based on run-to-run control and case-based reasoning P Herrero, P Pesl, M Reddy, N Oliver, P Georgiou, C Toumazou IEEE journal of biomedical and health informatics 19 (3), 1087-1096, 2014 | 122 | 2014 |
| Basal Glucose Control in Type 1 Diabetes Using Deep Reinforcement Learning: An In Silico Validation T Zhu, K Li, P Herrero, P Georgiou IEEE Journal of Biomedical and Health Informatics 25 (4), 1223-1232, 2020 | 109 | 2020 |
| Enhancing automatic closed-loop glucose control in type 1 diabetes with an adaptive meal bolus calculator–in silico evaluation under intra-day variability P Herrero, J Bondia, O Adewuyi, P Pesl, M El-Sharkawy, M Reddy, ... Computer methods and programs in biomedicine 146, 125-131, 2017 | 93 | 2017 |
| Optimizing antimicrobial use: challenges, advances and opportunities TM Rawson, RC Wilson, D O’Hare, P Herrero, A Kambugu, M Lamorde, ... Nature Reviews Microbiology 19 (12), 747-758, 2021 | 91 | 2021 |
| IoMT-enabled real-time blood glucose prediction with deep learning and edge computing T Zhu, L Kuang, J Daniels, P Herrero, K Li, P Georgiou IEEE Internet of Things Journal 10 (5), 3706-3719, 2022 | 90 | 2022 |
| Clinical safety and feasibility of the advanced bolus calculator for type 1 diabetes based on case-based reasoning: a 6-week nonrandomized single-arm pilot study M Reddy, P Pesl, M Xenou, C Toumazou, D Johnston, P Georgiou, ... Diabetes technology & therapeutics 18 (8), 487-493, 2016 | 81 | 2016 |
| Unannounced meals in the artificial pancreas: detection using continuous glucose monitoring CM Ramkissoon, P Herrero, J Bondia, J Vehi Sensors 18 (3), 884, 2018 | 78 | 2018 |
| A Composite Model of Glucagon-Glucose Dynamics for In Silico Testing of Bihormonal Glucose Controllers P Herrero, P Georgiou, N Oliver, M Reddy, D Johnston, C Toumazou Journal of diabetes science and technology 7 (4), 941-951, 2013 | 78 | 2013 |
| Modal interval analysis MA Sainz, J Armengol, R Calm, P Herrero, L Jorba, J Vehi New Tools for Numerical Information: Lecture Notes in Mathematics 2091, 2014 | 77 | 2014 |
| Quantified set inversion algorithm with applications to control P Herrero, MA Sainz, J Veh, L Jaulin Reliable computing 11, 369-382, 2005 | 76 | 2005 |
| Robust fault detection system for insulin pump therapy using continuous glucose monitoring P Herrero, R Calm, J Vehí, J Armengol, P Georgiou, N Oliver, C Tomazou Journal of diabetes science and technology 6 (5), 1131-1141, 2012 | 74 | 2012 |
| An advanced bolus calculator for type 1 diabetes: system architecture and usability results P Pesl, P Herrero, M Reddy, M Xenou, N Oliver, D Johnston, C Toumazou, ... IEEE journal of biomedical and health informatics 20 (1), 11-17, 2015 | 72 | 2015 |
| Personalized blood glucose prediction for type 1 diabetes using evidential deep learning and meta-learning T Zhu, K Li, P Herrero, P Georgiou IEEE Transactions on Biomedical Engineering 70 (1), 193-204, 2022 | 68 | 2022 |
| An insulin bolus advisor for type 1 diabetes using deep reinforcement learning T Zhu, K Li, L Kuang, P Herrero, P Georgiou Sensors 20 (18), 5058, 2020 | 64 | 2020 |
Pantelis GeorgiouImperial College LondonVahvistettu sähköpostiosoite verkkotunnuksessa imperial.ac.uk