Showing 50 publications by David Clifton
ZeroNLG: Aligning and Autoencoding Domains for Zero-Shot Multimodal and Multilingual Natural Language Generation.
Yang B, Liu F, Zou Y, Wu X, Wang Y et al. (2024), IEEE transactions on pattern analysis and machine intelligence, 46(8), 5712-5724
BibTeX
@article{zeronlgaligning-2024/8,
title={ZeroNLG: Aligning and Autoencoding Domains for Zero-Shot Multimodal and Multilingual Natural Language Generation.},
author={Yang B, Liu F, Zou Y, Wu X, Wang Y et al.},
journal={IEEE transactions on pattern analysis and machine intelligence},
volume={46},
pages={5712-5724},
year = "2024"
}
An improved deep regression model with state space reconstruction for continuous blood pressure estimation
Lyu L, Lu L, Chen H, Clifton DA, Zhang Y et al. (2024), Computers & Electrical Engineering, 118, 109319
BibTeX
@article{animproveddeepr-2024/8,
title={An improved deep regression model with state space reconstruction for continuous blood pressure estimation},
author={Lyu L, Lu L, Chen H, Clifton DA, Zhang Y et al.},
journal={Computers & Electrical Engineering},
volume={118},
pages={109319},
publisher={Elsevier},
year = "2024"
}
FE-Adapter: adapting image-based emotion classifiers to videos
Narayana Gowda S, Gao B & Clifton D (2024), Proceedings of the 18th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2024), 1-6
BibTeX
@inproceedings{feadapteradapti-2024/7,
title={FE-Adapter: adapting image-based emotion classifiers to videos},
author={Narayana Gowda S, Gao B & Clifton D},
booktitle={18th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2024)},
pages={1-6},
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"
}
Mitigating machine learning bias between high income and low–middle income countries for enhanced model fairness and generalizability
Yang J, Clifton L, Dung NT, Phong NT, Yen LM et al. (2024), Scientific Reports, 14(1)
BibTeX
@article{mitigatingmachi-2024/6,
title={Mitigating machine learning bias between high income and low–middle income countries for enhanced model fairness and generalizability},
author={Yang J, Clifton L, Dung NT, Phong NT, Yen LM et al.},
journal={Scientific Reports},
volume={14},
number={13318},
publisher={Nature Research},
year = "2024"
}
Addressing label noise for electronic health records: insights from computer vision for tabular data
Yang J, Triendl H, Soltan AAS, Prakash M & Clifton DA (2024), BMC Medical Informatics and Decision Making, 24(1)
BibTeX
@article{addressinglabel-2024/6,
title={Addressing label noise for electronic health records: insights from computer vision for tabular data},
author={Yang J, Triendl H, Soltan AAS, Prakash M & Clifton DA},
journal={BMC Medical Informatics and Decision Making},
volume={24},
number={183},
publisher={BioMed Central},
year = "2024"
}
Dynamic inter-treatment information sharing for individualized treatment effects estimation
Chauhan VK, Ghosheh G, Clifton DA, Molaei S & Zhou J (2024), Proceedings of The 27th International Conference on Artificial Intelligence and Statistics, 3529-3537
BibTeX
@inproceedings{dynamicintertre-2024/5,
title={Dynamic inter-treatment information sharing for individualized treatment effects estimation},
author={Chauhan VK, Ghosheh G, Clifton DA, Molaei S & Zhou J},
booktitle={27th International Conference on Artificial Intelligence and Statistics (AISTATS)},
pages={3529-3537},
year = "2024"
}
Continuous patient state attention model for addressing irregularity in electronic health records
Chauhan VK, Thakur A, O'Donoghue O, Rohanian O, Molaei S et al. (2024), BMC Medical Informatics and Decision Making, 24(1)
BibTeX
@article{continuouspatie-2024/5,
title={Continuous patient state attention model for addressing irregularity in electronic health records},
author={Chauhan VK, Thakur A, O'Donoghue O, Rohanian O, Molaei S et al.},
journal={BMC Medical Informatics and Decision Making},
volume={24},
number={117 },
publisher={BioMed Central},
year = "2024"
}
Sample selection bias in machine learning for healthcare
Chauhan VK, Clifton L, Salaün A, Lu HY, Branson K et al. (2024)
BibTeX
@misc{sampleselection-2024/5,
title={Sample selection bias in machine learning for healthcare},
author={Chauhan VK, Clifton L, Salaün A, Lu HY, Branson K et al.},
year = "2024"
}
Self-supervised machine learning to characterise step counts from wrist-worn accelerometers in the UK Biobank
Small S, Chan Chang S, Walmsley R, von Fritsch L, Acquah A et al. (2024), Medicine & Science in Sports & Exercise
BibTeX
@article{selfsupervisedm-2024/5,
title={Self-supervised machine learning to characterise step counts from wrist-worn accelerometers in the UK Biobank},
author={Small S, Chan Chang S, Walmsley R, von Fritsch L, Acquah A et al.},
journal={Medicine & Science in Sports & Exercise},
publisher={Lippincott, Williams & Wilkins},
year = "2024"
}
Development of an enhanced scoring system to predict ICU readmission or in-hospital death within 24 hours using routine patient data from two NHS Foundation Trusts
Pimentel MAF, Johnson A, Darbyshire J, Tarassenko L, Clifton D et al. (2024), BMJ Open, 14(4)
BibTeX
@article{developmentofan-2024/4,
title={Development of an enhanced scoring system to predict ICU readmission or in-hospital death within 24 hours using routine patient data from two NHS Foundation Trusts},
author={Pimentel MAF, Johnson A, Darbyshire J, Tarassenko L, Clifton D et al.},
journal={BMJ Open},
volume={14},
number={e074604},
publisher={BMJ Publishing Group},
year = "2024"
}
Self-supervised learning for human activity recognition using 700,000 person-days of wearable data
Yuan H, Chan Chang S, Creagh A, Tong C, Acquah A et al. (2024), npj Digital Medicine, 7(1)
BibTeX
@article{selfsupervisedl-2024/4,
title={Self-supervised learning for human activity recognition using 700,000 person-days of wearable data},
author={Yuan H, Chan Chang S, Creagh A, Tong C, Acquah A et al.},
journal={npj Digital Medicine},
volume={7},
number={91},
publisher={Springer Nature},
year = "2024"
}
Large Language Models in Healthcare: A Comprehensive Benchmark
Liu A, Zhou H, Hua Y, Rohanian O, Clifton L et al. (2024)
BibTeX
@misc{largelanguagemo-2024/4,
title={Large Language Models in Healthcare: A Comprehensive Benchmark},
author={Liu A, Zhou H, Hua Y, Rohanian O, Clifton L et al.},
year = "2024"
}
Omicron detection with large language models and YouTube audio data
Anibal JT, Landa AJ, Hang NTT, Song MJ, Peltekian AK et al. (2024)
BibTeX
@misc{omicrondetectio-2024/3,
title={Omicron detection with large language models and YouTube audio data},
author={Anibal JT, Landa AJ, Hang NTT, Song MJ, Peltekian AK et al.},
year = "2024"
}
Digital health technologies and machine learning augment patient reported outcomes to remotely characterise rheumatoid arthritis
Creagh AP, Hamy V, Yuan H, Mertes G, Tomlinson R et al. (2024), npj Digital Medicine, 7(1)
BibTeX
@article{digitalhealthte-2024/2,
title={Digital health technologies and machine learning augment patient reported outcomes to remotely characterise rheumatoid arthritis},
author={Creagh AP, Hamy V, Yuan H, Mertes G, Tomlinson R et al.},
journal={npj Digital Medicine},
volume={7},
number={33},
publisher={Springer Nature},
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"
}
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"
}
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"
}
AZD1222 effectiveness against severe COVID-19 in individuals with comorbidity or frailty: the RAVEN cohort study
Meeraus W, Joy M, Ouwens M, Taylor KS, Venkatesan S et al. (2024), Journal of Infection, 88(4)
BibTeX
@article{azdeffectivenes-2024/2,
title={AZD1222 effectiveness against severe COVID-19 in individuals with comorbidity or frailty: the RAVEN cohort study},
author={Meeraus W, Joy M, Ouwens M, Taylor KS, Venkatesan S et al.},
journal={Journal of Infection},
volume={88},
number={106129},
publisher={Elsevier},
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"
}
Undertaking multi-centre randomised controlled trials in primary care: learnings and recommendations from the PULsE-AI trial researchers
Pollock KG, Dickerson C, Kainth M, Lawton S, Hurst M et al. (2024), BMC Primary Care, 25(1)
BibTeX
@article{undertakingmult-2024/1,
title={Undertaking multi-centre randomised controlled trials in primary care: learnings and recommendations from the PULsE-AI trial researchers},
author={Pollock KG, Dickerson C, Kainth M, Lawton S, Hurst M et al.},
journal={BMC Primary Care},
volume={25},
number={7},
publisher={BioMed Central},
year = "2024"
}
Quantitative measurement of antibiotic resistance in Mycobacterium tuberculosis reveals genetic determinants of resistance and susceptibility in a target gene approach
Zankin A, Clifton D, Crook D, Earle S, Fowler P et al. (2024), Nature Communications, 15
BibTeX
@article{quantitativemea-2024/1,
title={Quantitative measurement of antibiotic resistance in Mycobacterium tuberculosis reveals genetic determinants of resistance and susceptibility in a target gene approach},
author={Zankin A, Clifton D, Crook D, Earle S, Fowler P et al.},
journal={Nature Communications},
volume={15},
number={488},
publisher={Springer Nature},
year = "2024"
}
Tetanus severity classification in low-middle income countries through ECG wearable sensors and a 1D-vision transformer
Lu P, Wang Z, Ha Thi HD, Hai HB, Thwaites L et al. (2024), BioMedInformatics, 4(1), 285-294
BibTeX
@article{tetanusseverity-2024/1,
title={Tetanus severity classification in low-middle income countries through ECG wearable sensors and a 1D-vision transformer},
author={Lu P, Wang Z, Ha Thi HD, Hai HB, Thwaites L et al.},
journal={BioMedInformatics},
volume={4},
pages={285-294},
publisher={MDPI},
year = "2024"
}
Unleashing the power of federated learning in fragmented digital healthcare systems: a visionary perspective
Tania MH & Clifton DA (2024), 2023 15th International Conference on Software, Knowledge, Information Management and Applications (SKIMA), 40-44
BibTeX
@article{unleashingthepo-2024/1,
title={Unleashing the power of federated learning in fragmented digital healthcare systems: a visionary perspective},
author={Tania MH & Clifton DA},
journal={2023 15th International Conference on Software, Knowledge, Information Management and Applications (SKIMA)},
pages={40-44},
publisher={IEEE},
year = "2024"
}
Acceptance and user experiences of a wearable device for the management of hospitalized patients in COVID-19–designated wards in Ho Chi Minh City, Vietnam: action learning project
Luu AP, Nguyen TT, Cao VTC, Ha THD, Chung LTT et al. (2024), JMIR Human Factors, 11(1)
BibTeX
@article{acceptanceandus-2024/1,
title={Acceptance and user experiences of a wearable device for the management of hospitalized patients in COVID-19–designated wards in Ho Chi Minh City, Vietnam: action learning project},
author={Luu AP, Nguyen TT, Cao VTC, Ha THD, Chung LTT et al.},
journal={JMIR Human Factors},
volume={11},
number={e44619},
publisher={JMIR Publications},
year = "2024"
}
Lightweight transformers for clinical natural language processing
Rohanian O, Nouriborji M, Jauncey H, Kouchaki S, Nooralahzadeh F et al. (2024), Natural Language Engineering
BibTeX
@article{lightweighttran-2024/1,
title={Lightweight transformers for clinical natural language processing},
author={Rohanian O, Nouriborji M, Jauncey H, Kouchaki S, Nooralahzadeh F et al.},
journal={Natural Language Engineering},
publisher={Cambridge University Press},
year = "2024"
}
Dynamic Inter-treatment Information Sharing for Individualized Treatment Effects Estimation
Chauhan VK, Zhou J, Ghosheh G, Molaei S & Clifton DA (2024), Proceedings of Machine Learning Research, 238, 3529-3537
BibTeX
@inproceedings{dynamicintertre-2024/1,
title={Dynamic Inter-treatment Information Sharing for Individualized Treatment Effects Estimation},
author={Chauhan VK, Zhou J, Ghosheh G, Molaei S & Clifton DA},
pages={3529-3537},
year = "2024"
}
Federated Learning For Heterogeneous Electronic Health Records Utilising Augmented Temporal Graph Attention Networks
Molaei S, Thakur A, Niknam G, Soltan A, Zare H et al. (2024), Proceedings of Machine Learning Research, 238, 1342-1350
BibTeX
@inproceedings{federatedlearni-2024/1,
title={Federated Learning For Heterogeneous Electronic Health Records Utilising Augmented Temporal Graph Attention Networks},
author={Molaei S, Thakur A, Niknam G, Soltan A, Zare H et al.},
pages={1342-1350},
year = "2024"
}
Mitigating Machine Learning Bias Between High Income and Low-Middle Income Countries for Enhanced Model Fairness and Generalizability
Yang J, Clifton L, Dung NT, Phong NT, Yen LM et al. (2024)
BibTeX
@misc{mitigatingmachi-2024/,
title={Mitigating Machine Learning Bias Between High Income and Low-Middle Income Countries for Enhanced Model Fairness and Generalizability},
author={Yang J, Clifton L, Dung NT, Phong NT, Yen LM et al.},
year = "2024"
}
Deep Learning for Multi-Label Disease Classification of Retinal Images: Insights from Brazilian Data for AI Development in Lower-Middle Income Countries
Gould DSW, Yang J & Clifton D (2024)
BibTeX
@misc{deeplearningfor-2024/,
title={Deep Learning for Multi-Label Disease Classification of Retinal Images: Insights from Brazilian Data for AI Development in Lower-Middle Income Countries},
author={Gould DSW, Yang J & Clifton D},
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"
}
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"
}
Semi-supervised learning for multi-label cardiovascular diseases prediction: a multi-dataset study
Zhou R, Lu L, Liu Z, Xiang T, Liang Z et al. (2023), IEEE Transactions on Pattern Analysis and Machine Intelligence, 46(5), 3305-3320
BibTeX
@article{semisupervisedl-2023/12,
title={Semi-supervised learning for multi-label cardiovascular diseases prediction: a multi-dataset study},
author={Zhou R, Lu L, Liu Z, Xiang T, Liang Z et al.},
journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
volume={46},
pages={3305-3320},
publisher={IEEE},
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"
}
DuKA: A dual-keyless-attention model for multi-modality EHR data fusion and organ failure prediction
Liu Z, Wu X, Yang Y & Clifton DA (2023), IEEE Transactions on Biomedical Engineering, 71(4), 1247-1256
BibTeX
@article{dukaadualkeyles-2023/12,
title={DuKA: A dual-keyless-attention model for multi-modality EHR data fusion and organ failure prediction},
author={Liu Z, Wu X, Yang Y & Clifton DA},
journal={IEEE Transactions on Biomedical Engineering},
volume={71},
pages={1247-1256},
publisher={IEEE},
year = "2023"
}
Exploring the Effectiveness of Instruction Tuning in Biomedical Language Processing
Rohanian O, Nouriborji M & Clifton DA (2023)
BibTeX
@misc{exploringtheeff-2023/12,
title={Exploring the Effectiveness of Instruction Tuning in Biomedical Language Processing},
author={Rohanian O, Nouriborji M & Clifton DA},
year = "2023"
}
Reinforcement Learning for Imbalanced Vehicle Booming Noise Classification
Yang J, Kunte DS, Cornelis B & Clifton DA (2023), 00, 24-29
BibTeX
@inproceedings{reinforcementle-2023/12,
title={Reinforcement Learning for Imbalanced Vehicle Booming Noise Classification},
author={Yang J, Kunte DS, Cornelis B & Clifton DA},
booktitle={2023 2nd International Conference on Machine Learning, Control, and Robotics (MLCR)},
pages={24-29},
year = "2023"
}
Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective.
You C, Dai W, Min Y, Liu F, Clifton DA et al. (2023), Advances in neural information processing systems, 36, 9984-10021
BibTeX
@inproceedings{rethinkingsemis-2023/12,
title={Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective.},
author={You C, Dai W, Min Y, Liu F, Clifton DA et al.},
pages={9984-10021},
year = "2023"
}
Deep reinforcement learning for multi-class imbalanced training: applications in healthcare
Yang J, EL-Bouri R, O'donoghue O, Lachapelle AL, Soltan AAS et al. (2023), Machine Learning
BibTeX
@article{deepreinforceme-2023/11,
title={Deep reinforcement learning for multi-class imbalanced training: applications in healthcare},
author={Yang J, EL-Bouri R, O'donoghue O, Lachapelle AL, Soltan AAS et al.},
journal={Machine Learning},
publisher={Springer Nature},
year = "2023"
}
Interpretable machine learning-based decision support for prediction of antibiotic resistance for complicated urinary tract infections
Yang J, Eyre DW, Lu L & Clifton DA (2023), npj Antimicrobials and Resistance, 1(1)
BibTeX
@article{interpretablema-2023/11,
title={Interpretable machine learning-based decision support for prediction of antibiotic resistance for complicated urinary tract infections},
author={Yang J, Eyre DW, Lu L & Clifton DA},
journal={npj Antimicrobials and Resistance},
volume={1},
number={14},
publisher={Springer Nature},
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"
}
A stacked long short-term memory approach for predictive blood glucose monitoring in women with gestational diabetes mellitus
Lu HY, Lu P, Hirst JE, Mackillop L & Clifton DA (2023), Sensors, 23(18)
BibTeX
@article{astackedlongsho-2023/9,
title={A stacked long short-term memory approach for predictive blood glucose monitoring in women with gestational diabetes mellitus},
author={Lu HY, Lu P, Hirst JE, Mackillop L & Clifton DA},
journal={Sensors},
volume={23},
number={7990},
publisher={MDPI},
year = "2023"
}
2D-WinSpatt-Net: A Dual Spatial Self-Attention Vision Transformer Boosts Classification of Tetanus Severity for Patients Wearing ECG Sensors in Low- and Middle-Income Countries
Lu P, Creagh AP, Lu HY, Hai HB, Thwaites L et al. (2023), Sensors, 23(18), 7705-7705
BibTeX
@article{dwinspattnetadu-2023/9,
title={2D-WinSpatt-Net: A Dual Spatial Self-Attention Vision Transformer Boosts Classification of Tetanus Severity for Patients Wearing ECG Sensors in Low- and Middle-Income Countries},
author={Lu P, Creagh AP, Lu HY, Hai HB, Thwaites L et al.},
journal={Sensors},
volume={23},
pages={7705-7705},
publisher={MDPI AG},
year = "2023"
}
2D-WinSpatt-Net: a dual spatial self-attention Vision Transformer boosts classification of tetanus severity for patients wearing ECG sensors in low- and middle-income countries
Lu P, Creagh AP, Lu HY, Hai HB, Thwaites L et al. (2023), Sensors, 23(18)
BibTeX
@article{dwinspattnetadu-2023/9,
title={2D-WinSpatt-Net: a dual spatial self-attention Vision Transformer boosts classification of tetanus severity for patients wearing ECG sensors in low- and middle-income countries},
author={Lu P, Creagh AP, Lu HY, Hai HB, Thwaites L et al.},
journal={Sensors},
volume={23},
number={7705},
publisher={MDPI},
year = "2023"
}
Towards wearable sensing-based precise and rapid responding system for the early detection of future pandemic
Xiang T, Liu Z, Ji N, Lu L, Clifton D et al. (2023), Connected Health And Telemedicine, 2
BibTeX
@article{towardswearable-2023/9,
title={Towards wearable sensing-based precise and rapid responding system for the early detection of future pandemic},
author={Xiang T, Liu Z, Ji N, Lu L, Clifton D et al.},
journal={Connected Health And Telemedicine},
volume={2},
number={200007},
publisher={OAE Publishing},
year = "2023"
}
SMKD: Selective mutual knowledge distillation
Li Z, Wang X, Robertson NM, Clifton D, Meinel C et al. (2023), 2023 International Joint Conference on Neural Networks (IJCNN)
BibTeX
@inproceedings{smkdselectivemu-2023/8,
title={SMKD: Selective mutual knowledge distillation},
author={Li Z, Wang X, Robertson NM, Clifton D, Meinel C et al.},
booktitle={2023 International Joint Conference on Neural Networks (IJCNN)},
year = "2023"
}
Using bottleneck adapters to identify cancer in clinical notes under low-resource constraints
Rohanian M, Jauncey H, Nouriborji M, Kumar VK, Gonçalves B et al. (2023), Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks (BioNLP 2023), 62-78
BibTeX
@inproceedings{usingbottleneck-2023/8,
title={Using bottleneck adapters to identify cancer in clinical notes under low-resource constraints},
author={Rohanian M, Jauncey H, Nouriborji M, Kumar VK, Gonçalves B et al.},
booktitle={22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks (BioNLP 2023)},
pages={62-78},
year = "2023"
}
Independent external validation of the QRISK3 cardiovascular disease risk prediction model using UK Biobank
Parsons RE, Liu X, Collister JA, Clifton DA, Cairns BJ et al. (2023), Heart, 109(22), 1690-1697
BibTeX
@article{independentexte-2023/7,
title={Independent external validation of the QRISK3 cardiovascular disease risk prediction model using UK Biobank},
author={Parsons RE, Liu X, Collister JA, Clifton DA, Cairns BJ et al.},
journal={Heart},
volume={109},
pages={1690-1697},
publisher={BMJ Publishing Group},
year = "2023"
}