| 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 | 161 | 2020 |
| 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 | 149 | 2019 |
| A Deep Learning Algorithm For Personalized Blood Glucose Prediction T Zhu, K Li, P Herrero, J Chen, P Georgiou 27th International Joint Conference on Artificial Intelligence ( IJCAI 2018 …, 2018 | 131 | 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 (3), 308-324, 2020 | 97 | 2020 |
| 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, 2020 | 89 | 2020 |
| 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 | 61 | 2022 |
| Dilated Recurrent Neural Network for Short-Time Prediction of Glucose Concentration J Chen, K Li, P Herrero, T Zhu, P Georgiou 27th International Joint Conference on Artificial Intelligence ( IJCAI 2018 …, 2018 | 58 | 2018 |
| 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 | 55 | 2020 |
| 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 | 39 | 2022 |
| Enhancing self-management in type 1 diabetes with wearables and deep learning T Zhu, C Uduku, K Li, P Herrero, N Oliver, P Georgiou npj Digital Medicine 5 (1), 78, 2022 | 38 | 2022 |
| Blood glucose prediction for type 1 diabetes using generative adversarial networks T Zhu, X Yao, K Li, P Herrero, P Georgiou 24th European Conference on Artificial Intelligence (ECAI 2020), The 5th …, 2020 | 33 | 2020 |
| Blood glucose prediction in type 1 diabetes using deep learning on the edge T Zhu, L Kuang, K Li, J Zeng, P Herrero, P Georgiou 2021 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2021 | 32 | 2021 |
| Personalized dual-hormone control for type 1 diabetes using deep reinforcement learning T Zhu, K Li, P Georgiou Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20 …, 2021 | 19* | 2021 |
| A personalized and adaptive insulin bolus calculator based on double deep q-learning to improve type 1 diabetes management G Noaro, T Zhu, G Cappon, A Facchinetti, P Georgiou IEEE Journal of Biomedical and Health Informatics 27 (5), 2536-2544, 2023 | 11 | 2023 |
| GluGAN: Generating personalized glucose time series using generative adversarial networks T Zhu, K Li, P Herrero, P Georgiou IEEE Journal of Biomedical and Health Informatics, 2023 | 9 | 2023 |
| Population-specific glucose prediction in diabetes care with transformer-based deep learning on the edge T Zhu, L Kuang, C Piao, J Zeng, K Li, P Georgiou IEEE Transactions on Biomedical Circuits and Systems, 2024 | 4 | 2024 |
| Offline deep reinforcement learning and off-policy evaluation for personalized basal insulin control in type 1 diabetes T Zhu, K Li, P Georgiou IEEE Journal of Biomedical and Health Informatics, 2023 | 4 | 2023 |
| Edge-based temporal fusion transformer for multi-horizon blood glucose prediction T Zhu, T Chen, L Kuangt, J Zeng, K Li, P Georgiou 2023 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2023 | 3 | 2023 |
| Genome wide association neural networks (GWANN) identify novel genes linked to family history of Alzheimer’s disease in the UK Biobank U Ghose, W Sproviero, L Winchester, N Amin, T Zhu, D Newby, BS Ulm, ... medRxiv, 2022.06. 10.22276251, 2022 | 2 | 2022 |
| Live demonstration: an IoT wearable device for real-time blood glucose prediction with edge AI L Kuang, T Zhu, K Li, J Daniels, P Herrero, P Georgiou 2021 IEEE biomedical circuits and systems conference (BioCAS), 01-01, 2021 | 2 | 2021 |
Pantelis GeorgiouImperial College London在 imperial.ac.uk 的电子邮件经过验证
