| 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 | 323 | 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 | 167 | 2013 |
| 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 | 92 | 2018 |
| 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 | 92 | 2014 |
| 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 | 75 | 2021 |
| 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 | 67 | 2014 |
| Machine learning for clinical outcome prediction F Shamout, T Zhu, DA Clifton IEEE reviews in Biomedical Engineering 14, 116-126, 2020 | 57 | 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 | 49 | 2015 |
| 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 | 47 | 2019 |
| 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 | 45 | 2021 |
| 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 | 41 | 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 | 32 | 2020 |
| 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 | 32 | 2020 |
| Artificial intelligence driven assessment of routinely collected healthcare data is an effective screening test for COVID-19 in patients presenting to hospital AAS Soltan, S Kouchaki, T Zhu, D Kiyasseh, T Taylor, ZB Hussain, T Peto, ... MedRxiv, 2020.07. 07.20148361, 2020 | 30 | 2020 |
| Evaluation of the fetal QT interval using non-invasive fetal ECG technology J Behar, T Zhu, J Oster, A Niksch, DY Mah, T Chun, J Greenberg, ... Physiological measurement 37 (9), 1392, 2016 | 29 | 2016 |
| Cardiovascular disease diagnosis using cross-domain transfer learning GA Tadesse, T Zhu, Y Liu, Y Zhou, J Chen, M Tian, D Clifton 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 27 | 2019 |
| Fusing Continuous-Valued Medical Labels Using a Bayesian Model T Zhu, N Dunkley, J Behar, DA Clifton, GD Clifford Annals of Biomedical Engineering 43 (12), 2892-2902, 2015 | 26 | 2015 |
| 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 | 25 | 2019 |
| 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 | 22 | 2021 |
| Smartwatch data help detect COVID-19 T Zhu, P Watkinson, DA Clifton Nature biomedical engineering 4 (12), 1125-1127, 2020 | 21 | 2020 |
David A. CliftonProfessor of Clinical Machine Learning, University of OxfordVerified email at eng.ox.ac.uk
