Tingting Zhu
Tingting Zhu
Підтверджена електронна адреса в eng.ox.ac.uk - Домашня сторінка
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
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
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
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
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
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
Crowd-sourced annotation of ECG signals using contextual information
T Zhu, AEW Johnson, J Behar, GD Clifford
Annals of biomedical engineering 42 (4), 871-884, 2014
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
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
Bayesian Fusion of Algorithms for the Robust Estimation of Respiratory Rate from the Photoplethysmogram
T Zhu, MAF Pimentel, GD Clifford, DA Clifton
IEEE Engineering in Medicine & Biology Conference, 2015
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
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
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
CrowdLabel: A Crowdsourcing Platform for Electrophysiology
T Zhu, J Behar, T Papastylianou, GD Clifford
Clocs: Contrastive learning of cardiac signals
D Kiyasseh, T Zhu, DA Clifton
arXiv preprint arXiv:2005.13249, 2020
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), 403-407, 2020
Early warning score adjusted for age to predict the composite outcome of mortality, cardiac arrest or unplanned intensive care unit admission using observational vital-sign …
F Shamout, T Zhu, L Clifton, J Briggs, D Prytherch, P Meredith, ...
BMJ open 9 (11), e033301, 2019
Unsupervised Bayesian Inference to Fuse Biosignal Sensory Estimates for Personalizing Care
T Zhu, MAF Pimentel, GD Clifford, DA Clifton
IEEE journal of biomedical and health informatics 23 (1), 47-58, 2019
A scalable mHealth system for non-communicable disease management
GD Clifford, C Arteta, T Zhu, MP Pimentel, MD Santos, JS Domingos, ...
IEEE Global Humanitarian Technology Conference (GHTC’14), 2014
Bayesian voting of multiple annotators for improved QT interval estimation
T Zhu, AEW Johnson, J Behar, GD Clifford
Computing in Cardiology 2013, 659-662, 2013
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