| Perivascular spaces and their associations with risk factors, clinical disorders and neuroimaging features: a systematic review and meta-analysis F Francis, L Ballerini, JM Wardlaw International Journal of Stroke 14 (4), 359-371, 2019 | 143 | 2019 |
| A survey on clinical natural language processing in the United Kingdom from 2007 to 2022 H Wu, M Wang, J Wu, F Francis, YH Chang, A Shavick, H Dong, ... NPJ digital medicine 5 (1), 186, 2022 | 28 | 2022 |
| Artificial intelligence models for predicting cardiovascular diseases in people with type 2 diabetes: a systematic review M Wang, F Francis, H Kunz, X Zhang, C Wan, Y Liu, P Taylor, SH Wild, ... Intelligence-Based Medicine 6, 100072, 2022 | 6 | 2022 |
| Detecting Intrapartum Fetal Hypoxia from Cardiotocography Using Machine Learning F Francis, H Wu, S Luz, R Townsend, S Stock 2022 Computing in Cardiology (CinC) 498, 1-4, 2022 | 2 | 2022 |
| Machine Learning to Classify Cardiotocography for Fetal Hypoxia Detection F Francis, S Luz, H Wu, R Townsend, SS Stock 2023 45th Annual International Conference of the IEEE Engineering in …, 2023 | 1 | 2023 |
| Machine learning on cardiotocography data to classify fetal outcomes: A scoping review F Francis, S Luz, H Wu, SJ Stock, R Townsend Computers in Biology and Medicine, 108220, 2024 | | 2024 |
| Natural language processing for detecting adverse drug events: A systematic review protocol I Guellil, J Wu, A Pradipta Gema, F Francis, Y Berrachedi, N Chenni, ... NIHR Open Research 3, 67, 2023 | | 2023 |
| A network analysis and literature review of clinical Natural Language Processing (NLP): the United Kingdom landscape from 2007 to 2022 H Wu, M Wang, J Wu, F Francis, YH Chang, A Shavick, H Dong, ... npj Digital Medicine, 2022 | | 2022 |
| Structural connectome and machine learning for Alzheimer’s disease detection F Francis, MB Cabez, K Smith, S Luz Alzheimer's & Dementia 17, e057514, 2021 | | 2021 |
