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Showing 97 publications by Tingting Zhu

Incremental Trainable Parameter Selection in Deep Neural Networks.

Thakur A, Abrol V, Sharma P, Zhu T & Clifton DA (2022), IEEE transactions on neural networks and learning systems, PP

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@article{incrementaltrai-2022/10,
  title={Incremental Trainable Parameter Selection in Deep Neural Networks.},
  author={Thakur A, Abrol V, Sharma P, Zhu T & Clifton DA},
  journal={IEEE transactions on neural networks and learning systems},
  volume={PP},
  year = "2022"
}

Classification of Tetanus Severity in Intensive-Care Settings for Low-Income Countries Using Wearable Sensing.

Lu P, Ghiasi S, Hagenah J, Hai HB, Hao NV et al. (2022), Sensors (Basel), 22(17)

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@article{classificationo-2022/8,
  title={Classification of Tetanus Severity in Intensive-Care Settings for Low-Income Countries Using Wearable Sensing.},
  author={Lu P, Ghiasi S, Hagenah J, Hai HB, Hao NV et al.},
  journal={Sensors (Basel)},
  volume={22},
  year = "2022"
}

Sepsis Mortality Prediction Using Wearable Monitoring in Low-Middle Income Countries.

Ghiasi S, Zhu T, Lu P, Hagenah J, Khanh PNQ et al. (2022), Sensors (Basel, Switzerland), 22(10), 3866

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@article{sepsismortality-2022/5,
  title={Sepsis Mortality Prediction Using Wearable Monitoring in Low-Middle Income Countries.},
  author={Ghiasi S, Zhu T, Lu P, Hagenah J, Khanh PNQ et al.},
  journal={Sensors (Basel, Switzerland)},
  volume={22},
  pages={3866},
  year = "2022"
}

Development, validation and comparison of multivariable risk scores for prediction of total stroke and stroke types in Chinese adults: a prospective study of 0.5 million adults.

Chun M, Clarke R, Zhu T, Clifton D, Bennett DA et al. (2022), Stroke and vascular neurology

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@article{developmentvali-2022/3,
  title={Development, validation and comparison of multivariable risk scores for prediction of total stroke and stroke types in Chinese adults: a prospective study of 0.5 million adults.},
  author={Chun M, Clarke R, Zhu T, Clifton D, Bennett DA et al.},
  journal={Stroke and vascular neurology},
  year = "2022"
}

Real-world evaluation of AI driven COVID-19 triage for emergency admissions: External validation & operational assessment of lab-free and high-throughput screening solutions

Soltan A, Yang J, Pattanshetty R, Novak A, Yang Y et al. (2022), Lancet Digital Health, 4(4), E266-E278

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@article{realworldevalua-2022/3,
  title={Real-world evaluation of AI driven COVID-19 triage for emergency admissions: External validation & operational assessment of lab-free and high-throughput screening solutions},
  author={Soltan A, Yang J, Pattanshetty R, Novak A, Yang Y et al.},
  journal={Lancet Digital Health},
  volume={4},
  pages={E266-E278},
  publisher={Elsevier},
  year = "2022"
}

Digital health policy and programs for hospital care in Vietnam: scoping review

Tran DM, Thwaites CL, Van Nuil JI, McKnight J, Luu AP et al. (2022), Journal of Medical Internet Research, 24(2), e32392

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@article{digitalhealthpo-2022/2,
  title={Digital health policy and programs for hospital care in Vietnam: scoping review},
  author={Tran DM, Thwaites CL, Van Nuil JI, McKnight J, Luu AP et al.},
  journal={Journal of Medical Internet Research},
  volume={24},
  pages={e32392},
  publisher={JMIR Publications},
  year = "2022"
}

Artificial intelligence for mechanical ventilation: systematic review of design, reporting standards, and bias.

Gallifant J, Zhang J, Del Pilar Arias Lopez M, Zhu T, Camporota L et al. (2022), British journal of anaesthesia, 128(2), 343-351

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@article{artificialintel-2022/2,
  title={Artificial intelligence for mechanical ventilation: systematic review of design, reporting standards, and bias.},
  author={Gallifant J, Zhang J, Del Pilar Arias Lopez M, Zhu T, Camporota L et al.},
  journal={British journal of anaesthesia},
  volume={128},
  pages={343-351},
  year = "2022"
}

CROCS: Clustering and revival of cardiac signals based on patient disease class, sex, and age

Kiyasseh D, Zhu T & Clifton D (2021), Advances in Neural Information Processing Systems 34 (NeurIPS 2021)

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@inproceedings{crocsclustering-2021/12,
  title={CROCS: Clustering and revival of cardiac signals based on patient disease class, sex, and age},
  author={Kiyasseh D, Zhu T & Clifton D},
  booktitle={35th Conference on Neural Information Processing Systems (NeurIPS 2021)},
  year = "2021"
}

Improving patient flow during infectious disease outbreaks using machine learning for real-time prediction of patient readiness for discharge

Bishop J, Javed H, EL-Bouri R, Zhu T, Taylor T et al. (2021), PLoS One, 16(11)

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@article{improvingpatien-2021/11,
  title={Improving patient flow during infectious disease outbreaks using machine learning for real-time prediction of patient readiness for discharge},
  author={Bishop J, Javed H, EL-Bouri R, Zhu T, Taylor T et al.},
  journal={PLoS One},
  volume={16},
  number={e0260476},
  publisher={Public Library of Science},
  year = "2021"
}

DeepMI: Deep multi-lead ECG fusion for identifying myocardial infarction and its occurrence-time

Tadesse GA, Javed H, Weldemariam K, Liu Y, Liu J et al. (2021), Artificial Intelligence in Medicine, 121

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@article{deepmideepmulti-2021/10,
  title={DeepMI: Deep multi-lead ECG fusion for identifying myocardial infarction and its occurrence-time},
  author={Tadesse GA, Javed H, Weldemariam K, Liu Y, Liu J et al.},
  journal={Artificial Intelligence in Medicine},
  volume={121},
  number={102192},
  publisher={Elsevier},
  year = "2021"
}

Publisher Correction: Utility of single versus sequential measurements of risk factors for prediction of stroke in Chinese adults.

Chun M, Clarke R, Zhu T, Clifton D, Bennett D et al. (2021), Scientific reports, 11(1), 20874

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@article{publishercorrec-2021/10,
  title={Publisher Correction: Utility of single versus sequential measurements of risk factors for prediction of stroke in Chinese adults.},
  author={Chun M, Clarke R, Zhu T, Clifton D, Bennett D et al.},
  journal={Scientific reports},
  volume={11},
  pages={20874},
  year = "2021"
}

Utility of single versus sequential measurements of risk factors for prediction of stroke in Chinese adults

Chun M, Clarke R, Zhu T, Clifton J, Bennett D et al. (2021), Scientific Reports, 11(2021)

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@article{utilityofsingle-2021/9,
  title={Utility of single versus sequential measurements of risk factors for prediction of stroke in Chinese adults},
  author={Chun M, Clarke R, Zhu T, Clifton J, Bennett D et al.},
  journal={Scientific Reports},
  volume={11},
  number={17575 },
  publisher={Springer Nature},
  year = "2021"
}

Real-world evaluation of AI-driven COVID-19 triage for emergency admissions: External validation & operational assessment of lab-free and high-throughput screening solutions

Soltan A, Yang J, Pattanshetty R, Novak A, Yang Y et al. (2021)

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@misc{realworldevalua-2021/8,
  title={Real-world evaluation of AI-driven COVID-19 triage for emergency admissions: External validation & operational assessment of lab-free and high-throughput screening solutions},
  author={Soltan A, Yang J, Pattanshetty R, Novak A, Yang Y et al.},
  year = "2021"
}

A clinical deep learning framework for continually learning from cardiac signals across diseases, time, modalities, and institutions.

Kiyasseh D, Zhu T & Clifton D (2021), Nature Communications, 12(1)

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@article{aclinicaldeeple-2021/7,
  title={A clinical deep learning framework for continually learning from cardiac signals across diseases, time, modalities, and institutions.},
  author={Kiyasseh D, Zhu T & Clifton D},
  journal={Nature Communications},
  volume={12},
  number={4221},
  publisher={Springer Nature},
  year = "2021"
}

BashTheBug: a crowd of volunteers reproducibly and accurately measure the minimum inhibitory concentrations of 13 antitubercular drugs from photographs of 96-well broth microdilution plates

Fowler P, Wright C, Spiers H, Zhu T, Baeten EML et al. (2021)

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@misc{bashthebugacrow-2021/7,
  title={BashTheBug: a crowd of volunteers reproducibly and accurately measure the minimum inhibitory concentrations of 13 antitubercular drugs from photographs of 96-well broth microdilution plates},
  author={Fowler P, Wright C, Spiers H, Zhu T, Baeten EML et al.},
  year = "2021"
}

CLOCS: contrastive learning of cardiac signals across space, time, and patients

Kiyasseh D, Zhu T & Clifton D (2021), 5606-5615

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@article{clocscontrastiv-2021/7,
  title={CLOCS: contrastive learning of cardiac signals across space, time, and patients},
  author={Kiyasseh D, Zhu T & Clifton D},
  journal={},
  pages={5606-5615},
  publisher={Journal of Machine Learning Research},
  year = "2021"
}

Prediction of monetary penalties for data protection cases in multiple languages

Ceross A & Zhu T (2021), Proceedings of the 18th International Conference on Artificial Intelligence and Law, ICAIL 2021, 185-189

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@inproceedings{predictionofmon-2021/6,
  title={Prediction of monetary penalties for data protection cases in multiple languages},
  author={Ceross A & Zhu T},
  pages={185-189},
  year = "2021"
}

Development and validation of early warning score systems for COVID-19 patients

Youssef A, Kouchaki S, Shamout F, Armstrong J, El-Bouri R et al. (2021), Healthcare Technology Letters, 8(5), 105-117

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@article{developmentandv-2021/5,
  title={Development and validation of early warning score systems for COVID-19 patients},
  author={Youssef A, Kouchaki S, Shamout F, Armstrong J, El-Bouri R et al.},
  journal={Healthcare Technology Letters},
  volume={8},
  pages={105-117},
  publisher={Wiley},
  year = "2021"
}

Stroke risk prediction using machine learning: a prospective cohort study of 0.5 million Chinese adults

Chun M, Clarke R, Cairns B, Clifton D, Bennett D et al. (2021), Journal of the American Medical Informatics Association, 28(8), 1719-1727

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@article{strokeriskpredi-2021/5,
  title={Stroke risk prediction using machine learning: a prospective cohort study of 0.5 million Chinese adults },
  author={Chun M, Clarke R, Cairns B, Clifton D, Bennett D et al.},
  journal={Journal of the American Medical Informatics Association},
  volume={28},
  pages={1719-1727},
  publisher={Oxford University Press},
  year = "2021"
}

Vital sign monitoring using wearable devices in a Vietnamese intensive care unit

Van H, Hao N, Phan Nguyen Quoc K, Hai H, Khoa L et al. (2021), BMJ Innovations, 7(Supplement 1), S7-S11

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@article{vitalsignmonito-2021/3,
  title={Vital sign monitoring using wearable devices in a Vietnamese intensive care unit},
  author={Van H, Hao N, Phan Nguyen Quoc K, Hai H, Khoa L et al.},
  journal={BMJ Innovations},
  volume={7},
  pages={S7-S11},
  publisher={BMJ Publishing Group},
  year = "2021"
}

Discriminant knowledge extraction from electrocardiograms for automated diagnosis of myocardial infarction

Tadesse GA, Weldemariam K, Javed H, Liu Y, Liu J et al. (2021), Proceedings of PKAW 2021: Knowledge Management and Acquisition for Intelligent Systems, 12280, 70-82

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@inproceedings{discriminantkno-2021/2,
  title={Discriminant knowledge extraction from electrocardiograms for automated diagnosis of myocardial infarction},
  author={Tadesse GA, Weldemariam K, Javed H, Liu Y, Liu J et al.},
  booktitle={Principle and Practice of Data and Knowledge Acquisition Workshop},
  pages={70-82},
  year = "2021"
}

Comparison of parametric and non-parametric Bayesian inference for fusing sensory estimates in physiological time-series analysis

Zhu T, Javed H & Clifton D (2021), Healthcare Technology Letters, 8(2), 25-30

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@article{comparisonofpar-2021/2,
  title={Comparison of parametric and non-parametric Bayesian inference for fusing sensory estimates in physiological time-series analysis},
  author={Zhu T, Javed H & Clifton D},
  journal={Healthcare Technology Letters},
  volume={8},
  pages={25-30},
  publisher={Wiley},
  year = "2021"
}

Machine learning in patient flow: a review

El-Bouri R, Taylor T, Youssef A, Zhu T & Clifton D (2021), Progress in Biomedical Engineering, 3(2 )

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@article{machinelearning-2021/1,
  title={Machine learning in patient flow: a review},
  author={El-Bouri R, Taylor T, Youssef A, Zhu T & Clifton D},
  journal={Progress in Biomedical Engineering},
  volume={3},
  number={022002},
  publisher={IOP Publishing},
  year = "2021"
}

Coronary Artery Disease: Optimal Lipoprotein(a) for Survival-Lower Is Better? A Large Cohort With 43,647 Patients.

Liu J, Liu L, Wang B, Chen S, Liu B et al. (2021), Frontiers in cardiovascular medicine, 8, 670859

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@article{coronaryarteryd-2021/1,
  title={Coronary Artery Disease: Optimal Lipoprotein(a) for Survival-Lower Is Better? A Large Cohort With 43,647 Patients.},
  author={Liu J, Liu L, Wang B, Chen S, Liu B et al.},
  journal={Frontiers in cardiovascular medicine},
  volume={8},
  pages={670859},
  year = "2021"
}

Let your heart speak in its mother tongue: Multilingual captioning of cardiac signals

Kiyasseh D, Zhu T & Clifton D (2021)

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@misc{letyourheartspe-2021/1,
  title={Let your heart speak in its mother tongue: Multilingual captioning of cardiac signals},
  author={Kiyasseh D, Zhu T & Clifton D},
  year = "2021"
}

Towards scheduling federated deep learning using meta-gradients for inter-hospital learning

el-Bouri R, Zhu T & Clifton DA (2021), arXiv

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@article{towardsscheduli-2021/,
  title={Towards scheduling federated deep learning using meta-gradients for inter-hospital learning},
  author={el-Bouri R, Zhu T & Clifton DA},
  journal={arXiv},
  year = "2021"
}

Rapid triage for COVID-19 using routine clinical data for patients attending hospital: development and prospective validation of an artificial intelligence screening test

Soltan AAS, Kouchaki S, Zhu T, Kiyasseh D, Taylor T et al. (2020), Lancet Digital Health, 3(2), e78-e87

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@article{rapidtriageforc-2020/12,
  title={Rapid triage for COVID-19 using routine clinical data for patients attending hospital: development and prospective validation of an artificial intelligence screening test},
  author={Soltan AAS, Kouchaki S, Zhu T, Kiyasseh D, Taylor T et al.},
  journal={Lancet Digital Health},
  volume={3},
  pages={e78-e87},
  publisher={Elsevier},
  year = "2020"
}

Student-teacher curriculum learning via reinforcement learning: predicting hospital inpatient admission location

El-Bouri R, Eyre D, Watkinson P, Zhu T & Clifton D (2020), Proceedings of the 37th International Conference on Machine Learning, 2848-2857

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@inproceedings{studentteacherc-2020/11,
  title={Student-teacher curriculum learning via reinforcement learning: predicting hospital inpatient admission location},
  author={El-Bouri R, Eyre D, Watkinson P, Zhu T & Clifton D},
  booktitle={37th International Conference on Machine Learning, (ICML 2020)},
  pages={2848-2857},
  year = "2020"
}

Development and Validation of Early Warning Score Systems for COVID-19 Patients

Youssef A, Kouchaki S, Shamout F, Armstrong J, El-Bouri R et al. (2020)

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@article{developmentandv-2020/11,
  title={Development and Validation of Early Warning Score Systems for COVID-19 Patients},
  author={Youssef A, Kouchaki S, Shamout F, Armstrong J, El-Bouri R et al.},
  journal={},
  year = "2020"
}

A spectral-longitudinal model for detection of heart attack from 12-lead electrocardiogram waveforms

Tadesse G, Javed H, Weldemariam K & Zhu T (2020)

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@inproceedings{aspectrallongit-2020/8,
  title={A spectral-longitudinal model for detection of heart attack from 12-lead electrocardiogram waveforms},
  author={Tadesse G, Javed H, Weldemariam K & Zhu T},
  booktitle={42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2020)},
  year = "2020"
}

The promise of clinical decision support systems targetting low-resource settings

Kiyasseh D, Zhu T & Clifton D (2020), IEEE Reviews in Biomedical Engineering, 15, 354-371

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@article{thepromiseofcli-2020/8,
  title={The promise of clinical decision support systems targetting low-resource settings},
  author={Kiyasseh D, Zhu T & Clifton D},
  journal={IEEE Reviews in Biomedical Engineering},
  volume={15},
  pages={354-371},
  publisher={Institute of Electrical and Electronics Engineers},
  year = "2020"
}

Machine learning for clinical outcome prediction

Shamout F, Zhu T & Clifton DA (2020), IEEE Reviews in Biomedical Engineering, 14, 116-126

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@article{machinelearning-2020/7,
  title={Machine learning for clinical outcome prediction},
  author={Shamout F, Zhu T & Clifton DA},
  journal={IEEE Reviews in Biomedical Engineering},
  volume={14},
  pages={116-126},
  publisher={Institute of Electrical and Electronics Engineers},
  year = "2020"
}

Artificial intelligence driven assessment of routinely collected healthcare data is an effective screening test for COVID-19 in patients presenting to hospital

Soltan AAS, Kouchaki S, Zhu T, Kiyasseh D, Taylor T et al. (2020)

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@article{artificialintel-2020/7,
  title={Artificial intelligence driven assessment of routinely collected healthcare data is an effective screening test for COVID-19 in patients presenting to hospital},
  author={Soltan AAS, Kouchaki S, Zhu T, Kiyasseh D, Taylor T et al.},
  journal={},
  year = "2020"
}

Hospital admission location prediction via deep interpretable networks for the year-round improvement of emergency patient care

el-Bouri R, Eyre D, Watkinson P, Zhu T & Clifton D (2020), IEEE Journal of Biomedical and Health Informatics, 25(1), 289-300

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@article{hospitaladmissi-2020/5,
  title={Hospital admission location prediction via deep interpretable networks for the year-round improvement of emergency patient care},
  author={el-Bouri R, Eyre D, Watkinson P, Zhu T & Clifton D},
  journal={IEEE Journal of Biomedical and Health Informatics},
  volume={25},
  pages={289-300},
  publisher={Institute of Electrical and Electronics Engineers},
  year = "2020"
}

PlethAugment: GAN-based PPG augmentation for medical diagnosis in low-resource settings

Kiyasseh D, Tadesse G, Nhan LNT, Tan LV, Thwaites C et al. (2020), IEEE Journal of Biomedical and Health Informatics, 24(11)

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@article{plethaugmentgan-2020/4,
  title={PlethAugment: GAN-based PPG augmentation for medical diagnosis in low-resource settings},
  author={Kiyasseh D, Tadesse G, Nhan LNT, Tan LV, Thwaites C et al.},
  journal={IEEE Journal of Biomedical and Health Informatics},
  volume={24},
  number={3226-3235},
  publisher={Institute of Electrical and Electronics Engineers},
  year = "2020"
}

Severity detection tool for patients with infectious disease

Tadesse G, Zhu T, Le Nguyen Thanh N, Thanh Hung N, Duong HTH et al. (2020), Healthcare Technology Letters, 7(2)

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@article{severitydetecti-2020/2,
  title={Severity detection tool for patients with infectious disease},
  author={Tadesse G, Zhu T, Le Nguyen Thanh N, Thanh Hung N, Duong HTH et al.},
  journal={Healthcare Technology Letters},
  volume={7},
  number={45},
  publisher={Institution of Engineering and Technology},
  year = "2020"
}

Multi-modal diagnosis of infectious diseases in the developing world

Tadesse G, Javed H, Le Nguyen Thanh N, Duong Ha Thi H, Le Van T et al. (2020), IEEE Journal of Biomedical and Health Informatics, 24(7), 2131-2141

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@article{multimodaldiagn-2020/1,
  title={Multi-modal diagnosis of infectious diseases in the developing world},
  author={Tadesse G, Javed H, Le Nguyen Thanh N, Duong Ha Thi H, Le Van T et al.},
  journal={IEEE Journal of Biomedical and Health Informatics},
  volume={24},
  pages={2131-2141},
  publisher={Institute of Electrical and Electronics Engineers},
  year = "2020"
}

Student-teacher curriculum learning via reinforcement learning: Predicting hospital inpatient admission location

El-Bouri R, Eyre D, Watkinson P, Zhu T & Clifton D (2020), 37th International Conference on Machine Learning, ICML 2020, PartF168147-4, 2828-2837

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@article{studentteacherc-2020/1,
  title={Student-teacher curriculum learning via reinforcement learning: Predicting hospital inpatient admission location},
  author={El-Bouri R, Eyre D, Watkinson P, Zhu T & Clifton D},
  journal={37th International Conference on Machine Learning, ICML 2020},
  volume={PartF168147-4},
  pages={2828-2837},
  year = "2020"
}

Smartwatch data help detect COVID-19

Zhu T, Watkinson P & Clifton DA (2020), Nature Biomedical Engineering, 4, 1125-1127

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@article{smartwatchdatah-2020/,
  title={Smartwatch data help detect COVID-19},
  author={Zhu T, Watkinson P & Clifton DA},
  journal={Nature Biomedical Engineering},
  volume={4},
  number={12},
  pages={1125-1127},
  year = "2020"
}

DROPS: Deep Retrieval of Physiological Signals via Attribute-specific Clinical Prototypes

Zhu T (2020)

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@misc{dropsdeepretrie-2020/,
  title={DROPS: Deep Retrieval of Physiological Signals via Attribute-specific Clinical Prototypes},
  author={Zhu T},
  year = "2020"
}

PCPs: Patient Cardiac Prototypes

Zhu T (2020)

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@misc{pcpspatientcard-2020/,
  title={PCPs: Patient Cardiac Prototypes},
  author={Zhu T},
  year = "2020"
}

Phenotyping Clusters of Patient Trajectories suffering from Chronic Complex Disease

Zhu T (2020)

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@misc{phenotypingclus-2020/,
  title={Phenotyping Clusters of Patient Trajectories suffering from Chronic Complex Disease},
  author={Zhu T},
  year = "2020"
}

CLOCS: Contrastive Learning of Cardiac Signals

Zhu T (2020)

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@misc{clocscontrastiv-2020/,
  title={CLOCS: Contrastive Learning of Cardiac Signals},
  author={Zhu T},
  year = "2020"
}

SoQal: Selective Oracle Questioning in Active Learning

Zhu T (2020)

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@misc{soqalselectiveo-2020/,
  title={SoQal: Selective Oracle Questioning in Active Learning},
  author={Zhu T},
  year = "2020"
}

ALPS: Active Learning via Perturbations

Zhu T (2020)

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@misc{alpsactivelearn-2020/,
  title={ALPS: Active Learning via Perturbations},
  author={Zhu T},
  year = "2020"
}

CLOPS: Continual Learning of Physiological Signals

Zhu T (2020)

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@misc{clopscontinuall-2020/,
  title={CLOPS: Continual Learning of Physiological Signals},
  author={Zhu T},
  year = "2020"
}

ALPS: Active learning via perturbations

Kiyasseh D, Zhu T & Clifton DA (2020), arXiv

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@article{alpsactivelearn-2020/,
  title={ALPS: Active learning via perturbations},
  author={Kiyasseh D, Zhu T & Clifton DA},
  journal={arXiv},
  year = "2020"
}

CLOPS: Continual learning of physiological signals

Kiyasseh D, Zhu T & Clifton DA (2020), arXiv

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@article{clopscontinuall-2020/,
  title={CLOPS: Continual learning of physiological signals},
  author={Kiyasseh D, Zhu T & Clifton DA},
  journal={arXiv},
  year = "2020"
}

DROPS: Deep retrieval of physiological signals via attribute-specific clinical prototypes

Kiyasseh D, Clifton DA & Zhu T (2020), arXiv

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@article{dropsdeepretrie-2020/,
  title={DROPS: Deep retrieval of physiological signals via attribute-specific clinical prototypes},
  author={Kiyasseh D, Clifton DA & Zhu T},
  journal={arXiv},
  year = "2020"
}

PCPs: Patient cardiac prototypes

Kiyasseh D, Zhu T & Clifton DA (2020), arXiv

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@article{pcpspatientcard-2020/,
  title={PCPs: Patient cardiac prototypes},
  author={Kiyasseh D, Zhu T & Clifton DA},
  journal={arXiv},
  year = "2020"
}

Phenotyping clusters of patient trajectories suffering from chronic complex disease

Aguiar H, Santos M, Watkinson P & Zhu T (2020), arXiv

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@article{phenotypingclus-2020/,
  title={Phenotyping clusters of patient trajectories suffering from chronic complex disease},
  author={Aguiar H, Santos M, Watkinson P & Zhu T},
  journal={arXiv},
  year = "2020"
}

SoQal: Selective Oracle Questioning in Active Learning

Kiyasseh D, Zhu T & Clifton DA (2020), arXiv

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@article{soqalselectiveo-2020/,
  title={SoQal: Selective Oracle Questioning in Active Learning},
  author={Kiyasseh D, Zhu T & Clifton DA},
  journal={arXiv},
  year = "2020"
}

Heart rate variability as an indicator of autonomic nervous system disturbance in tetanus

Duong HTH, Tadesse GA, Nhat PTH, Hao NV, Prince J et al. (2019), American Journal of Tropical Medicine and Hygiene, 102(2), 403-407

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@article{heartratevariab-2019/12,
  title={Heart rate variability as an indicator of autonomic nervous system disturbance in tetanus},
  author={Duong HTH, Tadesse GA, Nhat PTH, Hao NV, Prince J et al.},
  journal={American Journal of Tropical Medicine and Hygiene},
  volume={102},
  pages={403-407},
  publisher={American Society of Tropical Medicine and Hygiene },
  year = "2019"
}

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 data: a multicentre development and validation

Shamout F, Zhu T, Clifton L, Briggs J, Prytherch D et al. (2019), BMJ Open, 9(11)

Altmetric score is
BibTeX View PDF
@article{earlywarningsco-2019/11,
  title={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 data: a multicentre development and validation},
  author={Shamout F, Zhu T, Clifton L, Briggs J, Prytherch D et al.},
  journal={BMJ Open},
  volume={9},
  number={e033301},
  publisher={BMJ Publishing Group},
  year = "2019"
}

Heart rate variability as an indicator of autonomic nervous system disturbance in tetanus

Duong HTH, Abebe Tadesse G, Nhat PTH, Van Hao N, Prince J et al. (2019)

Altmetric score is
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@article{heartratevariab-2019/10,
  title={Heart rate variability as an indicator of autonomic nervous system disturbance in tetanus},
  author={Duong HTH, Abebe Tadesse G, Nhat PTH, Van Hao N, Prince J et al.},
  journal={},
  year = "2019"
}

Deep interpretable early warning system for the detection of clinical deterioration

Shamout F, Zhu T, Sharma P, Watkinson PJ & Clifton DA (2019), IEEE Journal of Biomedical and Health Informatics, 24(2), 437-446

Altmetric score is
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@article{deepinterpretab-2019/9,
  title={Deep interpretable early warning system for the detection of clinical deterioration},
  author={Shamout F, Zhu T, Sharma P, Watkinson PJ & Clifton DA},
  journal={IEEE Journal of Biomedical and Health Informatics},
  volume={24},
  pages={437-446},
  publisher={Institute of Electrical and Electronics Engineers},
  year = "2019"
}

Continuous-valued annotations aggregation for heart rate detection

Xie Y, Li J, Zhu T & Liu C (2019), IEEE Access, 7, 37664-37671

Altmetric score is
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@article{continuousvalue-2019/3,
  title={Continuous-valued annotations aggregation for heart rate detection},
  author={Xie Y, Li J, Zhu T & Liu C},
  journal={IEEE Access},
  volume={7},
  pages={37664-37671},
  publisher={Institute of Electrical and Electronics Engineers},
  year = "2019"
}

DeepAMR for predicting co-occurrent resistance of Mycobacterium tuberculosis

Yang Y, Walker TM, Walker AS, Wilson DJ, Peto TEA et al. (2019), Bioinformatics, 35(18), 3240-3249

Altmetric score is
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@article{deepamrforpredi-2019/1,
  title={DeepAMR for predicting co-occurrent resistance of Mycobacterium tuberculosis},
  author={Yang Y, Walker TM, Walker AS, Wilson DJ, Peto TEA et al.},
  journal={Bioinformatics},
  volume={35},
  pages={3240-3249},
  publisher={Oxford University Press},
  year = "2019"
}

Patient-Specific Physiological Monitoring and Prediction Using Structured Gaussian Processes

Zhu T, Colopy GW, Macewen C, Niehaus K, Yang Y et al. (2019), IEEE Access, 7, 58094-58103

Altmetric score is
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@article{patientspecific-2019/,
  title={Patient-Specific Physiological Monitoring and Prediction Using Structured Gaussian Processes},
  author={Zhu T, Colopy GW, Macewen C, Niehaus K, Yang Y et al.},
  journal={IEEE Access},
  volume={7},
  pages={58094-58103},
  publisher={Institute of Electrical and Electronics Engineers (IEEE)},
  year = "2019"
}

A new physically meaningful threshold of sample entropy for detecting cardiovascular diseases

Xiong J, Liang X, Zhu T, Zhao L, Li J et al. (2019), Entropy, 21

Altmetric score is
BibTeX
@article{anewphysicallym-2019/,
  title={A new physically meaningful threshold of sample entropy for detecting cardiovascular diseases},
  author={Xiong J, Liang X, Zhu T, Zhao L, Li J et al.},
  journal={Entropy},
  volume={21},
  number={9},
  year = "2019"
}

Cardiovascular disease diagnosis using cross-domain transfer learning

Tadesse GA, Zhu T, Liu Y, Zhou Y, Chen J et al. (2019), Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 4262-4265

Altmetric score is
BibTeX
@inproceedings{cardiovasculard-2019/,
  title={Cardiovascular disease diagnosis using cross-domain transfer learning},
  author={Tadesse GA, Zhu T, Liu Y, Zhou Y, Chen J et al.},
  pages={4262-4265},
  year = "2019"
}

Student-Teacher Curriculum Learning via Reinforcement Learning: Predicting Hospital Inpatient Admission Location

el-Bouri R, Eyre D, Watkinson P, Zhu T, Clifton DA et al. (2019), 25TH AMERICAS CONFERENCE ON INFORMATION SYSTEMS (AMCIS 2019)

Altmetric score is
BibTeX
@article{studentteacherc-2019/,
  title={Student-Teacher Curriculum Learning via Reinforcement Learning: Predicting Hospital Inpatient Admission Location},
  author={el-Bouri R, Eyre D, Watkinson P, Zhu T, Clifton DA et al.},
  journal={25TH AMERICAS CONFERENCE ON INFORMATION SYSTEMS (AMCIS 2019)},
  year = "2019"
}

Severity Detection Tool for Patients with Infectious Disease

Zhu T (2019)

Altmetric score is
BibTeX
@misc{severitydetecti-2019/,
  title={Severity Detection Tool for Patients with Infectious Disease},
  author={Zhu T},
  year = "2019"
}

Severity detection tool for patients with infectious disease

Tadesse GA, Zhu T, Thanh NLN, Hung NT, Duong HTH et al. (2019), arXiv

Altmetric score is
BibTeX
@article{severitydetecti-2019/,
  title={Severity detection tool for patients with infectious disease},
  author={Tadesse GA, Zhu T, Thanh NLN, Hung NT, Duong HTH et al.},
  journal={arXiv},
  year = "2019"
}

A crowdsourcing-based topic model for service matchmaking in Internet of Things

Liu Y, Du F, Sun J, Jiang Y, He J et al. (2018), FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 87, 186-197

Altmetric score is
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@article{acrowdsourcingb-2018/10,
  title={A crowdsourcing-based topic model for service matchmaking in Internet of Things},
  author={Liu Y, Du F, Sun J, Jiang Y, He J et al.},
  journal={FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE},
  volume={87},
  pages={186-197},
  year = "2018"
}

Unsupervised Bayesian inference to fuse biosignal sensory estimates for personalising care

Zhu TT, Pimentel MAF, Clifford G & Clifton DA (2018), IEEE Journal of Biomedical and Health Informatics, 23(1), 47-58

Altmetric score is
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@article{unsupervisedbay-2018/6,
  title={Unsupervised Bayesian inference to fuse biosignal sensory estimates for personalising care},
  author={Zhu TT, Pimentel MAF, Clifford G & Clifton DA},
  journal={IEEE Journal of Biomedical and Health Informatics},
  volume={23},
  pages={47-58},
  publisher={IEEE},
  year = "2018"
}

Bayesian fusion of physiological measurements using a signal quality extension

Zhu TT, Johnson AEW, Yang Y, Clifford GD & Clifton D (2018), Physiological Measurement , 39

Altmetric score is
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@article{bayesianfusiono-2018/6,
  title={Bayesian fusion of physiological measurements using a signal quality extension},
  author={Zhu TT, Johnson AEW, Yang Y, Clifford GD & Clifton D},
  journal={Physiological Measurement
},
  volume={39 },
  publisher={IOP Publishing},
  year = "2018"
}

Identifying patient-specific trajectories in haemodialysis using Bayesian Hierarchical Gaussian Processes

Zhu T, Colopy GW, Pugh CW & Clifton DA (2018), 2018 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2018, 2018-January, 186-189

Altmetric score is
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@inproceedings{identifyingpati-2018/4,
  title={Identifying patient-specific trajectories in haemodialysis using Bayesian Hierarchical Gaussian Processes},
  author={Zhu T, Colopy GW, Pugh CW & Clifton DA},
  pages={186-189},
  year = "2018"
}

Machine learning for classifying tuberculosis drug-resistance from DNA sequencing data

Yang Y, Niehaus KE, Walker TM, Iqbal Z, Walker A et al. (2017), Bioinformatics, 36(10), 1666-1671

Altmetric score is
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@article{machinelearning-2017/12,
  title={Machine learning for classifying tuberculosis drug-resistance from DNA sequencing data},
  author={Yang Y, Niehaus KE, Walker TM, Iqbal Z, Walker A et al.},
  journal={Bioinformatics},
  volume={36},
  pages={1666-1671},
  publisher={Oxford University Press},
  year = "2017"
}

Likelihood-based artefact detection in continuously-acquired patient vital signs

Colopy GW, Zhu T, Clifton L, Roberts SJ & Clifton DA (2017), 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2146-2149

Altmetric score is
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@inproceedings{likelihoodbased-2017/9,
  title={Likelihood-based artefact detection in continuously-acquired patient vital signs},
  author={Colopy GW, Zhu T, Clifton L, Roberts SJ & Clifton DA},
  pages={2146-2149},
  year = "2017"
}

Personalised patient monitoring in haemodialysis using hierarchical Gaussian processes

Zhu T, Colopy GW, Pugh CW & Clifton DA (2017), 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Altmetric score is
BibTeX
@inproceedings{personalisedpat-2017/5,
  title={Personalised patient monitoring in haemodialysis using hierarchical Gaussian processes},
  author={Zhu T, Colopy GW, Pugh CW & Clifton DA},
  year = "2017"
}

Drug resistance classification for Mycobacterium tuberculosis using multi-output model with stacked auto-encoders

Yang Y & Clifton D (2017), 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’17)

Altmetric score is
BibTeX
@inproceedings{drugresistancec-2017/5,
  title={Drug resistance classification for Mycobacterium tuberculosis using multi-output model with stacked auto-encoders},
  author={Yang Y & Clifton D},
  year = "2017"
}

A Bayesian model for fusing biomedical labels

Zhu T, Clifford GD & Clifton DA (2016), 127-159

Altmetric score is
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@misc{abayesianmodelf-2016/1,
  title={A Bayesian model for fusing biomedical labels},
  author={Zhu T, Clifford GD & Clifton DA},
  year = "2016"
}

The evaluation of an open source online training system for teaching 12 lead electrocardiographic interpretation

Breen C, Zhu T, Bond R, Finlay D & Clifford G (2016), Journal of Electrocardiology, 49, 454-461

Altmetric score is
BibTeX
@article{theevaluationof-2016/,
  title={The evaluation of an open source online training system for teaching 12 lead electrocardiographic interpretation},
  author={Breen C, Zhu T, Bond R, Finlay D & Clifford G},
  journal={Journal of Electrocardiology},
  volume={49},
  number={3},
  pages={454-461},
  year = "2016"
}

Evaluation of the fetal QT interval using non-invasive fetal ECG technology

Behar J, Zhu T, Oster J, Niksch A, Mah DY et al. (2016), Physiological Measurement, 37, 1392-1403

Altmetric score is
BibTeX
@article{evaluationofthe-2016/,
  title={Evaluation of the fetal QT interval using non-invasive fetal ECG technology},
  author={Behar J, Zhu T, Oster J, Niksch A, Mah DY et al.},
  journal={Physiological Measurement},
  volume={37},
  number={9},
  pages={1392-1403},
  year = "2016"
}

Bayesian fusion of algorithms for the robust estimation of respiratory rate from the photoplethysmogram

Zhu T, Pimentel MAF, Clifford GD & Clifton DA (2015), Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2015-November, 6138-6141

Altmetric score is
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@inproceedings{bayesianfusiono-2015/11,
  title={Bayesian fusion of algorithms for the robust estimation of respiratory rate from the photoplethysmogram},
  author={Zhu T, Pimentel MAF, Clifford GD & Clifton DA},
  pages={6138-6141},
  year = "2015"
}

Fusing continuous-valued medical labels using a Bayesian model

Zhu T, Dunkley N, Behar J, Clifton DA & Clifford GD (2015), Annals of Biomedical Engineering, 43(12), 2892-2902

Altmetric score is
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@article{fusingcontinuou-2015/6,
  title={Fusing continuous-valued medical labels using a Bayesian model},
  author={Zhu T, Dunkley N, Behar J, Clifton DA & Clifford GD},
  journal={Annals of Biomedical Engineering},
  volume={43},
  pages={2892-2902},
  publisher={Springer},
  year = "2015"
}

Fusing continuous-valued medical labels using a Bayesian Model

Zhu T, Dunkley N, Behar J, Clifton D & Clifford GD (2015), Annals of Biomedical Engineering, 43(12), 2892-2902

Altmetric score is
BibTeX View PDF
@article{fusingcontinuou-2015/6,
  title={Fusing continuous-valued medical labels using a Bayesian Model},
  author={Zhu T, Dunkley N, Behar J, Clifton D & Clifford GD},
  journal={Annals of Biomedical Engineering},
  volume={43},
  pages={2892-2902},
  publisher={Springer Verlag},
  year = "2015"
}

Optimal wavelength combinations for near-infrared spectroscopic monitoring of changes in brain tissue hemoglobin and cytochrome c oxidase concentrations.

Arifler D, Zhu T, Madaan S & Tachtsidis I (2015), Biomedical optics express, 6(3), 933-947

Altmetric score is
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@article{optimalwaveleng-2015/3,
  title={Optimal wavelength combinations for near-infrared spectroscopic monitoring of changes in brain tissue hemoglobin and cytochrome c oxidase concentrations.},
  author={Arifler D, Zhu T, Madaan S & Tachtsidis I},
  journal={Biomedical optics express},
  volume={6},
  pages={933-947},
  year = "2015"
}

Fusing Continuous-valued Medical Labels using a Bayesian Model

Zhu T, Dunkley N, Behar J, Clifton DA & Clifford GD (2015)

Altmetric score is
BibTeX
@misc{fusingcontinuou-2015/3,
  title={Fusing Continuous-valued Medical Labels using a Bayesian Model},
  author={Zhu T, Dunkley N, Behar J, Clifton DA & Clifford GD},
  year = "2015"
}

Novel approach to documenting expert ECG interpretation using eye tracking technology: a historical and biographical representation of the late Dr Rory Childers in action.

Bond RR, Kligfield PD, Zhu T, Finlay DD, Drew B et al. (2015), Journal of electrocardiology, 48(1), 43-44

Altmetric score is
BibTeX View PDF
@article{novelapproachto-2015/1,
  title={Novel approach to documenting expert ECG interpretation using eye tracking technology: a historical and biographical representation of the late Dr Rory Childers in action.},
  author={Bond RR, Kligfield PD, Zhu T, Finlay DD, Drew B et al.},
  journal={Journal of electrocardiology},
  volume={48},
  pages={43-44},
  year = "2015"
}

Novel approach to documenting expert ECG interpretation using eye tracking technology: A historical and biographical representation of the late Dr Rory Childers in action

Bond RR, Kligfield PD, Zhu T, Finlay DD, Drew B et al. (2015), Journal of Electrocardiology, 48(1), 43-44

Altmetric score is
BibTeX View PDF
@article{novelapproachto-2015/1,
  title={Novel approach to documenting expert ECG interpretation using eye tracking technology: A historical and biographical representation of the late Dr Rory Childers in action},
  author={Bond RR, Kligfield PD, Zhu T, Finlay DD, Drew B et al.},
  journal={Journal of Electrocardiology},
  volume={48},
  pages={43-44},
  year = "2015"
}

Assessing computerized eye tracking technology for gaining insight into expert interpretation of the 12-lead electrocardiogram: an objective quantitative approach.

Bond RR, Zhu T, Finlay DD, Drew B, Kligfield PD et al. (2014), Journal of electrocardiology, 47(6), 895-906

Altmetric score is
BibTeX View PDF
@article{assessingcomput-2014/11,
  title={Assessing computerized eye tracking technology for gaining insight into expert interpretation of the 12-lead electrocardiogram: an objective quantitative approach.},
  author={Bond RR, Zhu T, Finlay DD, Drew B, Kligfield PD et al.},
  journal={Journal of electrocardiology},
  volume={47},
  pages={895-906},
  year = "2014"
}

Brain mitochondrial oxidative metabolism during and after cerebral hypoxia-ischemia studied by simultaneous phosphorus magnetic-resonance and broadband near-infrared spectroscopy.

Bainbridge A, Tachtsidis I, Faulkner SD, Price D, Zhu T et al. (2014), NeuroImage, 102 Pt 1, 173-183

Altmetric score is
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@article{brainmitochondr-2014/11,
  title={Brain mitochondrial oxidative metabolism during and after cerebral hypoxia-ischemia studied by simultaneous phosphorus magnetic-resonance and broadband near-infrared spectroscopy.},
  author={Bainbridge A, Tachtsidis I, Faulkner SD, Price D, Zhu T et al.},
  journal={NeuroImage},
  volume={102 Pt 1},
  pages={173-183},
  year = "2014"
}

Crowd-sourced annotation of ecg signals using contextual information.

Zhu T, Johnson AEW, Behar J & Clifford GD (2014), Annals of biomedical engineering, 42(4), 871-884

Altmetric score is
BibTeX View PDF
@article{crowdsourcedann-2014/4,
  title={Crowd-sourced annotation of ecg signals using contextual information.},
  author={Zhu T, Johnson AEW, Behar J & Clifford GD},
  journal={Annals of biomedical engineering},
  volume={42},
  pages={871-884},
  year = "2014"
}

Crowd-sourced annotation of ECG signals using contextual information

Zhu T, Johnson AEW, Behar J & Clifford GD (2014), Annals of Biomedical Engineering, 42(4), 871-884

Altmetric score is
BibTeX View PDF
@article{crowdsourcedann-2014/1,
  title={Crowd-sourced annotation of ECG signals using contextual information},
  author={Zhu T, Johnson AEW, Behar J & Clifford GD},
  journal={Annals of Biomedical Engineering},
  volume={42},
  pages={871-884},
  year = "2014"
}

Assessing computerized eye tracking technology for gaining insight into expert interpretation of the 12-lead electrocardiogram: An objective quantitative approach

Bond RR, Zhu T, Finlay DD, Drew B, Kligfield PD et al. (2014), Journal of Electrocardiology, 47(6), 895-906

Altmetric score is
BibTeX View PDF
@article{assessingcomput-2014/1,
  title={Assessing computerized eye tracking technology for gaining insight into expert interpretation of the 12-lead electrocardiogram: An objective quantitative approach},
  author={Bond RR, Zhu T, Finlay DD, Drew B, Kligfield PD et al.},
  journal={Journal of Electrocardiology},
  volume={47},
  pages={895-906},
  year = "2014"
}

An intelligent cardiac health monitoring and review system

Zhu T, Osipov M, Papastylianou T, Oster J, Clifton DA et al. (2014), IET Conference Publications, 2014(CP632)

Altmetric score is
BibTeX
@inproceedings{anintelligentca-2014/1,
  title={An intelligent cardiac health monitoring and review system},
  author={Zhu T, Osipov M, Papastylianou T, Oster J, Clifton DA et al.},
  year = "2014"
}

Evaluation of the fetal QT interval using non-invasive fetal ECG technology

Behar J, Wolfberg A, Zhu T, Oster J, Niksch A et al. (2014), AMERICAN JOURNAL OF OBSTETRICS AND GYNECOLOGY, 210(1), S283-S284

Altmetric score is
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@inproceedings{evaluationofthe-2014/1,
  title={Evaluation of the fetal QT interval using non-invasive fetal ECG technology},
  author={Behar J, Wolfberg A, Zhu T, Oster J, Niksch A et al.},
  pages={S283-S284},
  year = "2014"
}

CrowdLabel: A Crowdsourcing Platform for Electrophysiology

Zhu T, Behar J, Papastylianou T & Clifford GD (2014), 2014 COMPUTING IN CARDIOLOGY CONFERENCE (CINC), VOL 41, 41, 789-792

Altmetric score is
BibTeX
@inproceedings{crowdlabelacrow-2014/,
  title={CrowdLabel: A Crowdsourcing Platform for Electrophysiology},
  author={Zhu T, Behar J, Papastylianou T & Clifford GD},
  pages={789-792},
  year = "2014"
}

A Scalable mHealth System for Noncommunicable Disease Management

Clifford GD, Arteta C, Zhu T, Pimentel MAF, Santos M et al. (2014), PROCEEDINGS OF THE FOURTH IEEE GLOBAL HUMANITARIAN TECHNOLOGY CONFERENCE (GHTC 2014), 41-48

Altmetric score is
BibTeX
@inproceedings{ascalablemhealt-2014/,
  title={A Scalable mHealth System for Noncommunicable Disease Management},
  author={Clifford GD, Arteta C, Zhu T, Pimentel MAF, Santos M et al.},
  pages={41-48},
  year = "2014"
}

Long-term enhancement of brain function and cognition using cognitive training and brain stimulation.

Snowball A, Tachtsidis I, Popescu T, Thompson J, Delazer M et al. (2013), Current biology : CB, 23(11), 987-992

Altmetric score is
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@article{longtermenhance-2013/6,
  title={Long-term enhancement of brain function and cognition using cognitive training and brain stimulation.},
  author={Snowball A, Tachtsidis I, Popescu T, Thompson J, Delazer M et al.},
  journal={Current biology : CB},
  volume={23},
  pages={987-992},
  year = "2013"
}

Noninvasive Fetal ECG: the PhysioNet/Computing in Cardiology Challenge 2013.

Silva I, Behar J, Sameni R, Zhu T, Oster J et al. (2013), Computing in cardiology, 40, 149-152

Altmetric score is
BibTeX
@inproceedings{noninvasivefeta-2013/3,
  title={Noninvasive Fetal ECG: the PhysioNet/Computing in Cardiology Challenge 2013.},
  author={Silva I, Behar J, Sameni R, Zhu T, Oster J et al.},
  pages={149-152},
  year = "2013"
}

Bayesian Voting of Multiple Annotators for Improved QT Interval Estimation

Zhu T, Johnson AEW, Behar J, Clifford GD & IEEE (2013), 2013 COMPUTING IN CARDIOLOGY CONFERENCE (CINC), 40, 659-662

Altmetric score is
BibTeX
@inproceedings{bayesianvotingo-2013/,
  title={Bayesian Voting of Multiple Annotators for Improved QT Interval Estimation},
  author={Zhu T, Johnson AEW, Behar J, Clifford GD & IEEE },
  pages={659-662},
  year = "2013"
}

Drug Resistance Classification for Mycobacterium tuberculosis using Multi-output Model with Stacked Auto-encoders

Yang Y & Clifton D (0)

Altmetric score is
BibTeX
@inproceedings{drugresistancec-/,
  title={Drug Resistance Classification for Mycobacterium tuberculosis using Multi-output Model with Stacked Auto-encoders},
  author={Yang Y & Clifton D}
}

A crowd of BashTheBug volunteers reproducibly and accurately measure the minimum inhibitory concentrations of 13 antitubercular drugs from photographs of 96-well broth microdilution plates

Fowler P, Wright C, Spiers H, Zhu T, Baeten E et al. (0), eLife

Altmetric score is
BibTeX
@article{acrowdofbashthe-/,
  title={A crowd of BashTheBug volunteers reproducibly and accurately measure the minimum inhibitory concentrations of 13 antitubercular drugs from photographs of 96-well broth microdilution plates},
  author={Fowler P, Wright C, Spiers H, Zhu T, Baeten E et al.},
  journal={eLife},
  publisher={eLife Sciences Publications}
}

RapiD_AI: A framework for Rapidly Deployable AI for novel disease & pandemic preparedness

Youssef A, Zhu T, Thakur A, Watkinson P, Horby P et al. (0)

Altmetric score is
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@misc{rapidaiaframewo-/,
  title={RapiD_AI: A framework for Rapidly Deployable AI for novel disease & pandemic preparedness},
  author={Youssef A, Zhu T, Thakur A, Watkinson P, Horby P et al.}
}