Showing 50 publications by Tingting Zhu
Student Loss: Towards the Probability Assumption in Inaccurate Supervision.
Zhang S, Li J-Q, Fujita H, Li Y-W, Wang D-B et al. (2024), IEEE transactions on pattern analysis and machine intelligence, 46(6), 4460-4475
BibTeX
@article{studentlosstowa-2024/6,
title={Student Loss: Towards the Probability Assumption in Inaccurate Supervision.},
author={Zhang S, Li J-Q, Fujita H, Li Y-W, Wang D-B et al.},
journal={IEEE transactions on pattern analysis and machine intelligence},
volume={46},
pages={4460-4475},
year = "2024"
}
Temporal dynamics unleashed: elevating variational graph attention
Molaei S, Niknam G, Ghosheh G, Chauhan VK, Zare H et al. (2024), Knowledge-Based Systems
BibTeX
@article{temporaldynamic-2024/6,
title={Temporal dynamics unleashed: elevating variational graph attention},
author={Molaei S, Niknam G, Ghosheh G, Chauhan VK, Zare H et al.},
journal={Knowledge-Based Systems},
number={112110},
publisher={Elsevier},
year = "2024"
}
Decoding 2.3 million ECGs: interpretable deep learning for advancing cardiovascular diagnosis and mortality risk stratification
Lu L, Zhu T, Ribeiro AH, Clifton L, Zhao E et al. (2024), European Heart Journal – Digital Health
BibTeX
@article{decodingmillion-2024/2,
title={Decoding 2.3 million ECGs: interpretable deep learning for advancing cardiovascular diagnosis and mortality risk stratification},
author={Lu L, Zhu T, Ribeiro AH, Clifton L, Zhao E et al.},
journal={European Heart Journal – Digital Health},
publisher={Oxford University Press},
year = "2024"
}
Data encoding for healthcare data democratization and information leakage prevention
Thakur A, Wang Y, Armstrong J, Zhu T, Abrol V et al. (2024), Nature Communications, 15(1)
BibTeX
@article{dataencodingfor-2024/2,
title={Data encoding for healthcare data democratization and information leakage prevention},
author={Thakur A, Wang Y, Armstrong J, Zhu T, Abrol V et al.},
journal={Nature Communications},
volume={15},
number={1582},
publisher={Springer Nature},
year = "2024"
}
Feasibility of wearable monitors to detect heart rate variability in children with hand, foot and mouth disease.
Nhan LNT, Hung NT, Khanh TH, Hong NTT, Ny NTH et al. (2024), BMC infectious diseases, 24(1), 205
BibTeX
@article{feasibilityofwe-2024/2,
title={Feasibility of wearable monitors to detect heart rate variability in children with hand, foot and mouth disease.},
author={Nhan LNT, Hung NT, Khanh TH, Hong NTT, Ny NTH et al.},
journal={BMC infectious diseases},
volume={24},
pages={205},
publisher={Springer Nature},
year = "2024"
}
A Perspective on Individualized Treatment Effects Estimation from Time-series Health Data
Ghosheh GO, Gögl M & Zhu T (2024)
BibTeX
@misc{aperspectiveoni-2024/2,
title={A Perspective on Individualized Treatment Effects Estimation from Time-series Health Data},
author={Ghosheh GO, Gögl M & Zhu T},
year = "2024"
}
A scalable federated learning solution for secondary care using low-cost microcomputing: privacy-preserving development and evaluation of a COVID-19 screening test in UK hospitals
Soltan AS, Thakur A, Yang J, Chauhan A, D'Cruz LG et al. (2024), Lancet Digital Health, 6(2), E93-E104
BibTeX
@article{ascalablefedera-2024/1,
title={A scalable federated learning solution for secondary care using low-cost microcomputing: privacy-preserving development and evaluation of a COVID-19 screening test in UK hospitals},
author={Soltan AS, Thakur A, Yang J, Chauhan A, D'Cruz LG et al.},
journal={Lancet Digital Health},
volume={6},
pages={E93-E104},
publisher={Elsevier},
year = "2024"
}
A survey of generative adversarial networks for synthesizing structured electronic health records
Ghosheh G, Zhu T & Li J (2024), ACM Computing Surveys, 56(6)
BibTeX
@article{asurveyofgenera-2024/1,
title={A survey of generative adversarial networks for synthesizing structured electronic health records},
author={Ghosheh G, Zhu T & Li J},
journal={ACM Computing Surveys},
volume={56},
number={147},
publisher={Association for Computing Machinery},
year = "2024"
}
IGNITE: Individualized GeNeration of Imputations in Time-series Electronic health records
Ghosheh GO, Li J & Zhu T (2024)
BibTeX
@misc{igniteindividua-2024/1,
title={IGNITE: Individualized GeNeration of Imputations in Time-series Electronic health records},
author={Ghosheh GO, Li J & Zhu T},
year = "2024"
}
Medical records condensation: a roadmap towards healthcare data democratisation
Thakur A, Wang Y, Dong M, Ma P, Petridis S et al. (2024)
BibTeX
@misc{medicalrecordsc-2024/,
title={Medical records condensation: a roadmap towards healthcare data democratisation},
author={Thakur A, Wang Y, Dong M, Ma P, Petridis S et al.},
year = "2024"
}
Leveraging transformers and large language models with antimicrobial prescribing data to predict sources of infection for electronic health record studies
Yuan K, Yoon CH, Gu Q, Munby H, Walker S et al. (2024)
BibTeX
@misc{leveragingtrans-2024/,
title={Leveraging transformers and large language models with antimicrobial prescribing data to predict sources of infection for electronic health record studies},
author={Yuan K, Yoon CH, Gu Q, Munby H, Walker S et al.},
year = "2024"
}
A medical multimodal large language model for future pandemics.
Liu F, Zhu T, Wu X, Yang B, You C et al. (2023), NPJ digital medicine, 6(1), 226
BibTeX
@article{amedicalmultimo-2023/12,
title={A medical multimodal large language model for future pandemics.},
author={Liu F, Zhu T, Wu X, Yang B, You C et al.},
journal={NPJ digital medicine},
volume={6},
pages={226},
year = "2023"
}
A medical multimodal large language model for future pandemics
Liu F, Zhu T, Wu X, Yang B, You C et al. (2023), npj Digital Medicine, 6(1)
BibTeX
@article{amedicalmultimo-2023/12,
title={A medical multimodal large language model for future pandemics},
author={Liu F, Zhu T, Wu X, Yang B, You C et al.},
journal={npj Digital Medicine},
volume={6},
number={226},
publisher={Springer Nature},
year = "2023"
}
Intelligent electrocardiogram acquisition via ubiquitous photoplethysmography monitoring
Liu Z, Zhu T, Lu L, Zhang Y-T & Clifton DA (2023), IEEE Journal of Biomedical and Health Informatics, 28(3), 1321-1330
BibTeX
@article{intelligentelec-2023/12,
title={Intelligent electrocardiogram acquisition via ubiquitous photoplethysmography monitoring},
author={Liu Z, Zhu T, Lu L, Zhang Y-T & Clifton DA},
journal={IEEE Journal of Biomedical and Health Informatics},
volume={28},
pages={1321-1330},
publisher={IEEE},
year = "2023"
}
The 2023 wearable photoplethysmography roadmap.
Charlton PH, Allen J, Bailón R, Baker S, Behar JA et al. (2023), Physiological measurement, 44(11)
BibTeX
@article{thewearablephot-2023/11,
title={The 2023 wearable photoplethysmography roadmap.},
author={Charlton PH, Allen J, Bailón R, Baker S, Behar JA et al.},
journal={Physiological measurement},
volume={44},
year = "2023"
}
External validation of AI models in health should be replaced with recurring local validation.
Youssef A, Pencina M, Thakur A, Zhu T, Clifton D et al. (2023), Nature medicine, 29(11), 2686-2687
BibTeX
@article{externalvalidat-2023/11,
title={External validation of AI models in health should be replaced with recurring local validation.},
author={Youssef A, Pencina M, Thakur A, Zhu T, Clifton D et al.},
journal={Nature medicine},
volume={29},
pages={2686-2687},
year = "2023"
}
Heart rate variability measured from wearable devices as a marker of disease severity in tetanus
Hai HB, Cattrall JWS, Hao NV, Van HMT, Thuy DB et al. (2023), American Journal of Tropical Medicine and Hygiene, 110(1), 165-169
BibTeX
@article{heartratevariab-2023/11,
title={Heart rate variability measured from wearable devices as a marker of disease severity in tetanus},
author={Hai HB, Cattrall JWS, Hao NV, Van HMT, Thuy DB et al.},
journal={American Journal of Tropical Medicine and Hygiene},
volume={110},
pages={165-169},
publisher={American Society of Tropical Medicine and Hygiene},
year = "2023"
}
External validation of AI models in health should be replaced with recurring local validation
Youssef A, Pencina M, Thakur A, Zhu T, Clifton D et al. (2023), Nature Medicine, 29(11), 2686-2687
BibTeX
@article{externalvalidat-2023/10,
title={External validation of AI models in health should be replaced with recurring local validation},
author={Youssef A, Pencina M, Thakur A, Zhu T, Clifton D et al.},
journal={Nature Medicine},
volume={29},
pages={2686-2687},
publisher={Springer Nature},
year = "2023"
}
Impact of stress hyperglycemia ratio on mortality in patients with critical acute myocardial infarction: insight from American MIMIC-IV and the Chinese CIN-II study
Liu J, Zhou Y, Huang H, Liu R, Kang Y et al. (2023), Cardiovascular Diabetology, 22(1)
BibTeX
@article{impactofstressh-2023/10,
title={Impact of stress hyperglycemia ratio on mortality in patients with critical acute myocardial infarction: insight from American MIMIC-IV and the Chinese CIN-II study},
author={Liu J, Zhou Y, Huang H, Liu R, Kang Y et al.},
journal={Cardiovascular Diabetology},
volume={22},
number={281},
publisher={BioMed Central},
year = "2023"
}
DyVGRNN: DYnamic mixture Variational Graph Recurrent Neural Networks.
Niknam G, Molaei S, Zare H, Pan S, Jalili M et al. (2023), Neural networks : the official journal of the International Neural Network Society, 165, 596-610
BibTeX
@article{dyvgrnndynamicm-2023/8,
title={DyVGRNN: DYnamic mixture Variational Graph Recurrent Neural Networks.},
author={Niknam G, Molaei S, Zare H, Pan S, Jalili M et al.},
journal={Neural networks : the official journal of the International Neural Network Society},
volume={165},
pages={596-610},
year = "2023"
}
Heterogeneity in the diagnosis and prognosis of ischemic stroke subtypes: 9-year follow-up of 22,000 cases in Chinese adults.
Chun M, Qin H, Turnbull I, Sansome S, Gilbert S et al. (2023), International journal of stroke : official journal of the International Stroke Society, 18(7), 847-855
BibTeX
@article{heterogeneityin-2023/8,
title={Heterogeneity in the diagnosis and prognosis of ischemic stroke subtypes: 9-year follow-up of 22,000 cases in Chinese adults.},
author={Chun M, Qin H, Turnbull I, Sansome S, Gilbert S et al.},
journal={International journal of stroke : official journal of the International Stroke Society},
volume={18},
pages={847-855},
year = "2023"
}
Improving diagnostics with deep forest applied to electronic health records
Khodadadi A, Ghanbari Bousejin N, Molaei S, Kumar Chauhan V, Zhu T et al. (2023), Sensors, 23(14)
BibTeX
@article{improvingdiagno-2023/7,
title={Improving diagnostics with deep forest applied to electronic health records},
author={Khodadadi A, Ghanbari Bousejin N, Molaei S, Kumar Chauhan V, Zhu T et al.},
journal={Sensors},
volume={23},
number={6571},
publisher={MDPI},
year = "2023"
}
Improving Diagnostics with Deep Forest Applied to Electronic Health Records.
Khodadadi A, Ghanbari Bousejin N, Molaei S, Kumar Chauhan V, Zhu T et al. (2023), Sensors (Basel, Switzerland), 23(14), 6571
BibTeX
@article{improvingdiagno-2023/7,
title={Improving Diagnostics with Deep Forest Applied to Electronic Health Records.},
author={Khodadadi A, Ghanbari Bousejin N, Molaei S, Kumar Chauhan V, Zhu T et al.},
journal={Sensors (Basel, Switzerland)},
volume={23},
pages={6571},
year = "2023"
}
The 2023 wearable photoplethysmography roadmap
Charlton PH, Allen J, Bailon R, Baker S, Behar JA et al. (2023), Physiological Measurement
BibTeX
@article{thewearablephot-2023/7,
title={The 2023 wearable photoplethysmography roadmap},
author={Charlton PH, Allen J, Bailon R, Baker S, Behar JA et al.},
journal={Physiological Measurement},
publisher={IOP Publishing},
year = "2023"
}
Clinical benefit of AI-assisted lung ultrasound in a resource-limited intensive care unit
Nhat PTH, Van Hao N, Tho PV, Kerdegari H, Pisani L et al. (2023), Critical Care, 27(1)
BibTeX
@article{clinicalbenefit-2023/7,
title={Clinical benefit of AI-assisted lung ultrasound in a resource-limited intensive care unit},
author={Nhat PTH, Van Hao N, Tho PV, Kerdegari H, Pisani L et al.},
journal={Critical Care},
volume={27},
number={257},
publisher={BioMed Central},
year = "2023"
}
DyVGRNN: DYnamic mixture variational graph recurrent neural networks
Niknam G, Molaei S, Zare H, Pan S, Jalili M et al. (2023), Neural Networks, 165, 596-610
BibTeX
@article{dyvgrnndynamicm-2023/6,
title={DyVGRNN: DYnamic mixture variational graph recurrent neural networks},
author={Niknam G, Molaei S, Zare H, Pan S, Jalili M et al.},
journal={Neural Networks},
volume={165},
pages={596-610},
publisher={Elsevier},
year = "2023"
}
Synthesizing electronic health records for predictive models in low-middle-income countries (LMICs)
Ghosheh GO, Thwaites CL & Zhu T (2023), Biomedicines, 11(6)
BibTeX
@article{synthesizingele-2023/6,
title={Synthesizing electronic health records for predictive models in low-middle-income countries (LMICs)},
author={Ghosheh GO, Thwaites CL & Zhu T},
journal={Biomedicines},
volume={11},
number={1749},
publisher={MDPI},
year = "2023"
}
DyVGRNN: DYnamic mixture Variational Graph Recurrent Neural Networks
Niknam G, MOLAEI S, Zare H, Pan S, Jalili M et al. (2023), Neural Networks
BibTeX
@article{dyvgrnndynamicm-2023/6,
title={DyVGRNN: DYnamic mixture Variational Graph Recurrent Neural Networks},
author={Niknam G, MOLAEI S, Zare H, Pan S, Jalili M et al.},
journal={Neural Networks},
publisher={Elsevier},
year = "2023"
}
A Framework For Motor Function Characterization in Autism Spectrum Disorder
Paulo JR, Sousa T, Perdiz J, Leal N, Menezes P et al. (2023), 00, 104-107
BibTeX
@inproceedings{aframeworkformo-2023/6,
title={A Framework For Motor Function Characterization in Autism Spectrum Disorder},
author={Paulo JR, Sousa T, Perdiz J, Leal N, Menezes P et al.},
booktitle={2023 IEEE 7th Portuguese Meeting on Bioengineering (ENBENG)},
pages={104-107},
year = "2023"
}
Synthesizing Electronic Health Records for Predictive Models in Low-Middle-Income Countries (LMICs).
Ghosheh GO, Thwaites CL & Zhu T (2023), Biomedicines, 11(6), 1749
BibTeX
@article{synthesizingele-2023/6,
title={Synthesizing Electronic Health Records for Predictive Models in Low-Middle-Income Countries (LMICs).},
author={Ghosheh GO, Thwaites CL & Zhu T},
journal={Biomedicines},
volume={11},
pages={1749},
year = "2023"
}
Generating synthetic mixed-type longitudinal electronic health records for artificial intelligent applications
Li J, Cairns BJ, Li J & Zhu T (2023), NPJ Digital Medicine, 6(1)
BibTeX
@article{generatingsynth-2023/5,
title={Generating synthetic mixed-type longitudinal electronic health records for artificial intelligent applications},
author={Li J, Cairns BJ, Li J & Zhu T},
journal={NPJ Digital Medicine},
volume={6},
number={98},
publisher={Springer Nature},
year = "2023"
}
Uncertainties in the analysis of heart rate variability: a systematic review
Lu L, Zhu T, Morelli D, Creagh A, Liu Z et al. (2023), IEEE Reviews in Biomedical Engineering, 17, 180-196
BibTeX
@article{uncertaintiesin-2023/5,
title={Uncertainties in the analysis of heart rate variability: a systematic review},
author={Lu L, Zhu T, Morelli D, Creagh A, Liu Z et al.},
journal={IEEE Reviews in Biomedical Engineering},
volume={17},
pages={180-196},
publisher={IEEE},
year = "2023"
}
Clinical decision support systems used in transplantation: are they tools for success or an unnecessary gadget? A systematic review
Wingfield L, Salaun A, Khan A, Webb H, Zhu T et al. (2023), Transplantation, 108(1), 72-99
BibTeX
@article{clinicaldecisio-2023/5,
title={Clinical decision support systems used in transplantation: are they tools for success or an unnecessary gadget? A systematic review},
author={Wingfield L, Salaun A, Khan A, Webb H, Zhu T et al.},
journal={Transplantation},
volume={108},
pages={72-99},
publisher={Lippincott, Williams & Wilkins},
year = "2023"
}
Generating synthetic mixed-type longitudinal electronic health records for artificial intelligent applications.
Li J, Cairns BJ, Li J & Zhu T (2023), NPJ digital medicine, 6(1), 98
BibTeX
@article{generatingsynth-2023/5,
title={Generating synthetic mixed-type longitudinal electronic health records for artificial intelligent applications.},
author={Li J, Cairns BJ, Li J & Zhu T},
journal={NPJ digital medicine},
volume={6},
pages={98},
year = "2023"
}
Uncertainties in the Analysis of Heart Rate Variability: A Systematic Review.
Lu L, Zhu T, Morelli D, Creagh A, Liu Z et al. (2023), IEEE reviews in biomedical engineering, PP
BibTeX
@article{uncertaintiesin-2023/5,
title={Uncertainties in the Analysis of Heart Rate Variability: A Systematic Review.},
author={Lu L, Zhu T, Morelli D, Creagh A, Liu Z et al.},
journal={IEEE reviews in biomedical engineering},
volume={PP},
year = "2023"
}
Data Encoding For Healthcare Data Democratisation and Information Leakage Prevention
Thakur A, Zhu T, Abrol V, Armstrong J, Wang Y et al. (2023)
BibTeX
@misc{dataencodingfor-2023/5,
title={Data Encoding For Healthcare Data Democratisation and Information Leakage Prevention},
author={Thakur A, Zhu T, Abrol V, Armstrong J, Wang Y et al.},
year = "2023"
}
Medical records condensation: a roadmap towards healthcare data democratisation
Wang Y, Thakur A, Dong M, Ma P, Petridis S et al. (2023)
BibTeX
@misc{medicalrecordsc-2023/5,
title={Medical records condensation: a roadmap towards healthcare data democratisation},
author={Wang Y, Thakur A, Dong M, Ma P, Petridis S et al.},
year = "2023"
}
All models are local: time to replace external validation with recurrent local validation
Youssef A, Pencina M, Thakur A, Zhu T, Clifton D et al. (2023)
BibTeX
@misc{allmodelsareloc-2023/5,
title={All models are local: time to replace external validation with recurrent local validation},
author={Youssef A, Pencina M, Thakur A, Zhu T, Clifton D et al.},
year = "2023"
}
Adversarial de-confounding in individualised treatment effects estimation
Kumar V, Molaei S, Hoque Tania M, Thakur A, Zhu T et al. (2023), Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, 206, 837-849
BibTeX
@inproceedings{adversarialdeco-2023/4,
title={Adversarial de-confounding in individualised treatment effects estimation},
author={Kumar V, Molaei S, Hoque Tania M, Thakur A, Zhu T et al.},
booktitle={26th International Conference on Artificial Intelligence and Statistics (AISTATS 2023)},
pages={837-849},
year = "2023"
}
Physical activity and asthma symptom control in children during COVID-19 lockdown: A feasibility study
Ding X, Whelan M, Clifton D & Zhu T (2023), Digital Health, 9
BibTeX
@article{physicalactivit-2023/2,
title={Physical activity and asthma symptom control in children during COVID-19 lockdown: A feasibility study},
author={Ding X, Whelan M, Clifton D & Zhu T},
journal={Digital Health},
volume={9},
publisher={SAGE Publications},
year = "2023"
}
Heterogeneity in the diagnosis and prognosis of ischemic stroke subtypes: 9-year follow-up of 22,000 cases in Chinese adults
Chun M, Qin H, Turnbull I, Sansome S, Gilbert S et al. (2023), International Journal of Stroke, 18(7), 847-855
BibTeX
@article{heterogeneityin-2023/2,
title={Heterogeneity in the diagnosis and prognosis of ischemic stroke subtypes: 9-year follow-up of 22,000 cases in Chinese adults},
author={Chun M, Qin H, Turnbull I, Sansome S, Gilbert S et al.},
journal={International Journal of Stroke},
volume={18},
pages={847-855},
publisher={SAGE Publications},
year = "2023"
}
Synthesizing Mixed-type Electronic Health Records using Diffusion Models
Ceritli T, Ghosheh GO, Chauhan VK, Zhu T, Creagh AP et al. (2023)
BibTeX
@misc{synthesizingmix-2023/2,
title={Synthesizing Mixed-type Electronic Health Records using Diffusion Models},
author={Ceritli T, Ghosheh GO, Chauhan VK, Zhu T, Creagh AP et al.},
year = "2023"
}
BLOod Test Trend for cancEr Detection (BLOTTED): protocol for an observational and prediction model development study using English primary care electronic health record data
Virdee PS, Bankhead C, Koshiaris C, Wright Drakesmith C, Oke J et al. (2023), Diagnostic and Prognostic Research, 7(1)
BibTeX
@article{bloodtesttrendf-2023/1,
title={BLOod Test Trend for cancEr Detection (BLOTTED): protocol for an observational and prediction model development study using English primary care electronic health record data},
author={Virdee PS, Bankhead C, Koshiaris C, Wright Drakesmith C, Oke J et al.},
journal={Diagnostic and Prognostic Research},
volume={7},
number={1},
publisher={BioMed Central},
year = "2023"
}
Adversarial De-confounding in Individualised Treatment Effects Estimation
Chauhan VK, Molaei S, Tania MH, Thakur A, Zhu T et al. (2023), Proceedings of Machine Learning Research, 206, 837-849
BibTeX
@inproceedings{adversarialdeco-2023/1,
title={Adversarial De-confounding in Individualised Treatment Effects Estimation},
author={Chauhan VK, Molaei S, Tania MH, Thakur A, Zhu T et al.},
pages={837-849},
year = "2023"
}
Physical activity and asthma symptom control in children during COVID-19 lockdown: A feasibility study.
Ding X, Whelan ME, Clifton DA & Zhu T (2023), Digital health, 9, 20552076231152165
BibTeX
@article{physicalactivit-2023/1,
title={Physical activity and asthma symptom control in children during COVID-19 lockdown: A feasibility study.},
author={Ding X, Whelan ME, Clifton DA & Zhu T},
journal={Digital health},
volume={9},
pages={20552076231152165},
year = "2023"
}
BLOod Test Trend for cancEr Detection (BLOTTED): protocol for an observational and prediction model development study using English primary care electronic health record data
Virdee PS, Bankhead C, Koshiaris C, Wright Drakesmith C, Oke J et al. (2023), Diagnostic and Prognostic Research, 7(1)
BibTeX
@article{bloodtesttrendf-2023/1,
title={BLOod Test Trend for cancEr Detection (BLOTTED): protocol for an observational and prediction model development study using English primary care electronic health record data},
author={Virdee PS, Bankhead C, Koshiaris C, Wright Drakesmith C, Oke J et al.},
journal={Diagnostic and Prognostic Research},
volume={7},
number={1},
publisher={BioMed Central},
year = "2023"
}
Scalable federated learning for emergency care using low cost microcomputing: Real-world, privacy preserving development and evaluation of a COVID-19 screening test in UK hospitals
Soltan A, Thakur A, Yang J, Chauhan A, D’Cruz L et al. (2023)
BibTeX
@misc{scalablefederat-2023/,
title={Scalable federated learning for emergency care using low cost microcomputing: Real-world, privacy preserving development and evaluation of a COVID-19 screening test in UK hospitals},
author={Soltan A, Thakur A, Yang J, Chauhan A, D’Cruz L et al.},
year = "2023"
}
Data Encoding For Healthcare Data Democratisation and Information Leakage Prevention
Zhu T, Armstrong J, Abrol V, Wang Y, Clifton D et al. (2023)
BibTeX
@misc{dataencodingfor-2023/,
title={Data Encoding For Healthcare Data Democratisation and Information Leakage Prevention},
author={Zhu T, Armstrong J, Abrol V, Wang Y, Clifton D et al.},
year = "2023"
}
A Large Language Modelling Deep Learning Framework for the Next Pandemic
Zhu T, Wu X, Yang B, You C, Wang C et al. (2023)
BibTeX
@misc{alargelanguagem-2023/,
title={A Large Language Modelling Deep Learning Framework for the Next Pandemic},
author={Zhu T, Wu X, Yang B, You C, Wang C et al.},
year = "2023"
}
A Multimodal Large Language Modelling Deep Learning Framework for the Future Pandemic
Liu F, Zhu T, Wu X, Yang B, You C et al. (2023)
BibTeX
@misc{amultimodallarg-2023/,
title={A Multimodal Large Language Modelling Deep Learning Framework for the Future Pandemic},
author={Liu F, Zhu T, Wu X, Yang B, You C et al.},
year = "2023"
}