Tingting Zhu

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David A. CliftonChair of Clinical Machine Learning, University of OxfordPatvirtintas el. paštas eng.ox.ac.uk
Peter WatkinsonOxfordPatvirtintas el. paštas pjwat.freeserve.co.uk
Gari CliffordProfessor of Biomed Eng & Biomed Inform, Emory University and Georgia Institute of TechnologyPatvirtintas el. paštas physionet.org
Girmaw Abebe TadesseMicrosoft AI for Good Research LabPatvirtintas el. paštas microsoft.com
David EyreProfessor of Infectious Diseases, University of OxfordPatvirtintas el. paštas bdi.ox.ac.uk
C Louise ThwaitesClinical Research Fellow Oxford University Clinical Research Unit VietnamPatvirtintas el. paštas oucru.org
Joachim A. BeharAssociate Professor, Technion-IITPatvirtintas el. paštas technion.ac.il
Farah ShamoutClinical AI Lab, New York UniversityPatvirtintas el. paštas nyu.edu
Ilias TachtsidisProfessor in Biomedical EngineeringPatvirtintas el. paštas ucl.ac.uk
Dr Andrew SoltanUniversity of OxfordPatvirtintas el. paštas oncology.ox.ac.uk
Julien OsterInserm, FrancePatvirtintas el. paštas inserm.fr
Samaneh KouchakiSenior Lecturer University of SurreyPatvirtintas el. paštas surrey.ac.uk
Rasheed El-BouriUniversity of OxfordPatvirtintas el. paštas eng.ox.ac.uk
Timothy M WalkerUniversity of OxfordPatvirtintas el. paštas ndm.ox.ac.uk
Reza SameniAssociate Professor, Emory University and Georgia Institute of TechnologyPatvirtintas el. paštas dbmi.emory.edu
Tudor PopescuPrincipal Investigator, University of ViennaPatvirtintas el. paštas oxon.org
Raymond BondUniversity of UlsterPatvirtintas el. paštas ulster.ac.uk
Dewar FinlayProfessor of Electronic Systems, Ulster UniversityPatvirtintas el. paštas ulster.ac.uk
Mauro SantosResearch Scientist, Optellum LtdPatvirtintas el. paštas optellum.com
Roi Cohen KadoshUniversity of SurreyPatvirtintas el. paštas surrey.ac.uk

Stebėti

Tingting Zhu

Associate Professor, University of Oxford

Patvirtintas el. paštas eng.ox.ac.uk - Pagrindinis puslapis

Machine Learning Sensor Fusion Health Informatics Time-series Analysis Clustering


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
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	380	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	213	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	209	2021
Machine learning for clinical outcome prediction F Shamout, T Zhu, DA Clifton IEEE reviews in Biomedical Engineering 14, 116-126, 2020	171	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	142	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	133	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	108	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	92	2019
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	82	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	80	2023
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	79	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	78	2020
A medical multimodal large language model for future pandemics F Liu, T Zhu, X Wu, B Yang, C You, C Wang, L Lu, Z Liu, Y Zheng, X Sun, ... NPJ Digital Medicine 6 (1), 226, 2023	72	2023
A survey of generative adversarial networks for synthesizing structured electronic health records GO Ghosheh, J Li, T Zhu ACM Computing Surveys 56 (6), 1-34, 2024	69*	2024
The 2023 wearable photoplethysmography roadmap PH Charlton, J Allen, R Bailón, S Baker, JA Behar, F Chen, GD Clifford, ... Physiological measurement 44 (11), 111001, 2023	68	2023
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	64	2015
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	62	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	56	2019
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	51	2022
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	47	2014

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