| Long-term enhancement of brain function and cognition using cognitive training and brain stimulation A Snowball, I Tachtsidis, T Popescu, J Thompson, M Delazer, L Zamarian, ... Current Biology 23 (11), 987-992, 2013 | 374 | 2013 |
| Noninvasive fetal ECG: the PhysioNet/computing in cardiology challenge 2013 I Silva, J Behar, R Sameni, T Zhu, J Oster, GD Clifford, GB Moody Computing in cardiology 2013, 149-152, 2013 | 209 | 2013 |
| Clocs: Contrastive learning of cardiac signals across space, time, and patients D Kiyasseh, T Zhu, DA Clifton International Conference on Machine Learning, 5606-5615, 2021 | 155 | 2021 |
| Machine learning for clinical outcome prediction F Shamout, T Zhu, DA Clifton IEEE reviews in Biomedical Engineering 14, 116-126, 2020 | 148 | 2020 |
| Machine learning for classifying tuberculosis drug-resistance from DNA sequencing data Y Yang, KE Niehaus, TM Walker, Z Iqbal, AS Walker, DJ Wilson, TEA Peto, ... Bioinformatics 34 (10), 1666-1671, 2018 | 130 | 2018 |
| Rapid triage for COVID-19 using routine clinical data for patients attending hospital: development and prospective validation of an artificial intelligence screening test AAS Soltan, S Kouchaki, T Zhu, D Kiyasseh, T Taylor, ZB Hussain, T Peto, ... The Lancet Digital Health 3 (2), e78-e87, 2021 | 121 | 2021 |
| Brain mitochondrial oxidative metabolism during and after cerebral hypoxia–ischemia studied by simultaneous phosphorus magnetic-resonance and broadband near-infrared spectroscopy A Bainbridge, I Tachtsidis, SD Faulkner, D Price, T Zhu, E Baer, KD Broad, ... Neuroimage 102, 173-183, 2014 | 103 | 2014 |
| Deep interpretable early warning system for the detection of clinical deterioration FE Shamout, T Zhu, P Sharma, PJ Watkinson, DA Clifton IEEE journal of biomedical and health informatics 24 (2), 437-446, 2019 | 81 | 2019 |
| Assessing computerized eye tracking technology for gaining insight into expert interpretation of the 12-lead electrocardiogram: an objective quantitative approach RR Bond, T Zhu, DD Finlay, B Drew, PD Kligfield, D Guldenring, C Breen, ... Journal of electrocardiology 47 (6), 895-906, 2014 | 76 | 2014 |
| PlethAugment: GAN-based PPG augmentation for medical diagnosis in low-resource settings D Kiyasseh, GA Tadesse, L Thwaites, T Zhu, D Clifton IEEE journal of biomedical and health informatics 24 (11), 3226-3235, 2020 | 69 | 2020 |
| Optimal wavelength combinations for near-infrared spectroscopic monitoring of changes in brain tissue hemoglobin and cytochrome c oxidase concentrations D Arifler, T Zhu, S Madaan, I Tachtsidis Biomedical Optics Express 6 (3), 933-947, 2015 | 59 | 2015 |
| Generating synthetic mixed-type longitudinal electronic health records for artificial intelligent applications J Li, BJ Cairns, J Li, T Zhu NPJ Digital Medicine 6 (1), 98, 2023 | 57 | 2023 |
| External validation of AI models in health should be replaced with recurring local validation A Youssef, M Pencina, A Thakur, T Zhu, D Clifton, NH Shah Nature Medicine 29 (11), 2686-2687, 2023 | 55 | 2023 |
| Stroke risk prediction using machine learning: a prospective cohort study of 0.5 million Chinese adults M Chun, R Clarke, BJ Cairns, D Clifton, D Bennett, Y Chen, Y Guo, P Pei, ... Journal of the American Medical Informatics Association 28 (8), 1719-1727, 2021 | 54 | 2021 |
| DeepAMR for predicting co-occurrent resistance of Mycobacterium tuberculosis Y Yang, TM Walker, AS Walker, DJ Wilson, TEA Peto, DW Crook, ... Bioinformatics 35 (18), 3240-3249, 2019 | 50 | 2019 |
| Crowd-sourced annotation of ECG signals using contextual information T Zhu, AEW Johnson, J Behar, GD Clifford Annals of biomedical engineering 42, 871-884, 2014 | 46 | 2014 |
| Artificial intelligence for mechanical ventilation: systematic review of design, reporting standards, and bias J Gallifant, J Zhang, MPA Lopez, T Zhu, L Camporota, LA Celi, F Formenti British Journal of Anaesthesia 128 (2), 343-351, 2022 | 42 | 2022 |
| Real-world evaluation of rapid and laboratory-free COVID-19 triage for emergency care: external validation and pilot deployment of artificial intelligence driven screening AAS Soltan, J Yang, R Pattanshetty, A Novak, Y Yang, O Rohanian, ... The Lancet Digital Health 4 (4), e266-e278, 2022 | 40 | 2022 |
| A clinical deep learning framework for continually learning from cardiac signals across diseases, time, modalities, and institutions D Kiyasseh, T Zhu, D Clifton Nature Communications 12 (1), 4221, 2021 | 40 | 2021 |
| Heart rate variability as an indicator of autonomic nervous system disturbance in tetanus HTH Duong, GA Tadesse, PTH Nhat, N Van Hao, J Prince, TD Duong, ... The American journal of tropical medicine and hygiene 102 (2), 403, 2020 | 40 | 2020 |
David A. CliftonChair of Clinical Machine Learning, University of OxfordVerified email at eng.ox.ac.uk
