Support Vector Machine in Novelty Detection for Multi-channel Combustion Data. - Lei A. Clifton; Hujun Yin; Yang Zhang (ISNN (2), 2006)

Combined Support Vector Novelty Detection for Multi-channel Combustion Data. - Lei A. Clifton; Hujun Yin; David A. Clifton; Yang Zhang (ICNSC, 2007)

Automated Novelty Detection in Industrial Systems. - David A. Clifton; Lei A. Clifton; Peter R. Bannister; Lionel Tarassenko (Advances of Computational Intelligence in Industrial Systems, 2008)

Optimising Classifiers for the Detection of Physiological Deterioration in Patient Vital-sign Data. - Sara Khalid; David A. Clifton; Lei A. Clifton; Lionel Tarassenko (BIOSIGNALS, 2011)

Identification of Patient Deterioration in Vital-Sign Data using One-Class Support Vector Machines. - Lei A. Clifton; David A. Clifton; Peter J. Watkinson; Lionel Tarassenko (FedCSIS, 2011)

Vital-sign Data Fusion Models for Post-operative Patients. - Marco A. F. Pimentel; David A. Clifton; Lei A. Clifton; Peter J. Watkinson; Lionel Tarassenko (BIOSIGNALS, 2012)

Gaussian process regression in vital-sign early warning systems. - Lei A. Clifton; David A. Clifton; Marco A. F. Pimentel; Peter J. Watkinson; Lionel Tarassenko (EMBC, 2012)

A Two-Class Approach to the Detection of Physiological Deterioration in Patient Vital Signs, With Clinical Label Refinement. - Sara Khalid; David A. Clifton; Lei A. Clifton; Lionel Tarassenko (IEEE Trans. Inf. Technol. Biomed., 2012)

Probabilistic estimation of respiratory rate using Gaussian processes. - Marco A. F. Pimentel; David A. Clifton; Lei A. Clifton; Lionel Tarassenko (EMBC, 2013)

An Extreme Function Theory for Novelty Detection. - David A. Clifton; Lei A. Clifton; Samuel Hugueny; David Wong 001; Lionel Tarassenko (IEEE J. Sel. Top. Signal Process., 2013)

Modelling physiological deterioration in post-operative patient vital-sign data. - Marco A. F. Pimentel; David A. Clifton; Lei A. Clifton; Peter J. Watkinson; Lionel Tarassenko (Medical Biol. Eng. Comput., 2013)

Gaussian Processes for Personalized e-Health Monitoring With Wearable Sensors. - Lei A. Clifton; David A. Clifton; Marco A. F. Pimentel; Peter J. Watkinson; Lionel Tarassenko (IEEE Trans. Biomed. Eng., 2013)

A Large-Scale Clinical Validation of an Integrated Monitoring System in the Emergency Department. - David A. Clifton; David Wong 001; Lei A. Clifton; Sarah J. Wilson; Rob Way; Richard Pullinger; Lionel Tarassenko (IEEE J. Biomed. Health Informatics, 2013)

Multi-task Gaussian process models for biomedical applications. - Robert Dürichen; Marco A. F. Pimentel; Lei A. Clifton; Achim Schweikard; David A. Clifton (BHI, 2014)

A review of novelty detection. - Marco A. F. Pimentel; David A. Clifton; Lei A. Clifton; Lionel Tarassenko (Signal Process., 2014)

Predictive Monitoring of Mobile Patients by Combining Clinical Observations With Data From Wearable Sensors. - Lei A. Clifton; David A. Clifton; Marco A. F. Pimentel; Peter J. Watkinson; Lionel Tarassenko (IEEE J. Biomed. Health Informatics, 2014)

Probabilistic Novelty Detection With Support Vector Machines. - Lei A. Clifton; David A. Clifton; Yang Zhang; Peter J. Watkinson; Lionel Tarassenko; Hujun Yin (IEEE Trans. Reliab., 2014)

Extending the Generalised Pareto Distribution for Novelty Detection in High-Dimensional Spaces. - David A. Clifton; Lei A. Clifton; Samuel Hugueny; Lionel Tarassenko (J. Signal Process. Syst., 2014)

Multitask Gaussian Processes for Multivariate Physiological Time-Series Analysis. - Robert Dürichen; Marco A. F. Pimentel; Lei A. Clifton; Achim Schweikard; David A. Clifton (IEEE Trans. Biomed. Eng., 2015)

Likelihood-based artefact detection in continuously-acquired patient vital signs. - Glen Wright Colopy; Tingting Zhu 001; Lei A. Clifton; Stephen J. Roberts; David A. Clifton (EMBC, 2017)

Lightweight Transformers for Clinical Natural Language Processing. - Omid Rohanian; Mohammadmahdi Nouriborji; Hannah Jauncey; Samaneh Kouchaki; Lei A. Clifton; Laura Merson; David A. Clifton (CoRR, 2023)

At-Admission Prediction of Mortality and Pulmonary Embolism in COVID-19 Patients Using Statistical and Machine Learning Methods: An International Cohort Study. - Munib Mesinovic; Xin Ci Wong; Giri Shan Rajahram; Barbara Wanjiru Citarella; Kalaiarasu M. Peariasamy; Frank van Someren Greve; Piero Olliaro; Laura Merson; Lei A. Clifton; Christiana Kartsonaki (CoRR, 2023)

A medical multimodal large language model for future pandemics. - Fenglin Liu; Tingting Zhu 001; Xian Wu 001; Bang Yang; Chenyu You; Chenyang Wang; Lei Lu; Zhangdaihong Liu; Yefeng Zheng 001; Xu Sun 001; Yang Yang 125; Lei A. Clifton; et al. (npj Digit. Medicine, 2023)

Large Language Models Are Poor Clinical Decision-Makers: A Comprehensive Benchmark. - Fenglin Liu; Zheng Li 018; Hongjian Zhou; Qingyu Yin; Jingfeng Yang 001; Xianfeng Tang; Chen Luo 003; Ming Zeng 001; Haoming Jiang; Yifan Gao 001; Priyanka Nigam; Sreyashi Nag; et al. (EMNLP, 2024)

Are Time Series Foundation Models Ready for Vital Sign Forecasting in Healthcare? - Xiao Gu 003; Yu Liu; Zaineb Mohsin; Jonathan Bedford; Anshul Thakur; Peter J. Watkinson; Lei A. Clifton; Tingting Zhu 001; David A. Clifton (ML4H@NeurIPS, 2024)

Exploring the effectiveness of instruction tuning in biomedical language processing. - Omid Rohanian; Mohammadmahdi Nouriborji; Samaneh Kouchaki; Farhad Nooralahzadeh; Lei A. Clifton; David A. Clifton (Artif. Intell. Medicine, 2024)

Large Language Models in Healthcare: A Comprehensive Benchmark. - Andrew Liu; Hongjian Zhou; Yining Hua; Omid Rohanian; Lei A. Clifton; David A. Clifton (CoRR, 2024)

Sample Selection Bias in Machine Learning for Healthcare. - Vinod Kumar Chauhan; Lei A. Clifton; Achille Salaün; Huiqi Yvonne Lu; Kim Branson 001; Patrick Schwab; Gaurav Nigam; David A. Clifton (CoRR, 2024)

Computation-Efficient Semi-Supervised Learning for ECG-based Cardiovascular Diseases Detection. - Rushuang Zhou; Zijun Liu; Lei A. Clifton; David A. Clifton; Kannie W. Y. Chan; Yuan-Ting Zhang; Yining Dong (CoRR, 2024)

Lightweight transformers for clinical natural language processing. - Omid Rohanian; Mohammadmahdi Nouriborji; Hannah Jauncey; Samaneh Kouchaki; Farhad Nooralahzadeh; Lei A. Clifton; Laura Merson; David A. Clifton (Nat. Lang. Eng., 2024)

AutoNet-Generated Deep Layer-Wise Convex Networks for ECG Classification. - Yanting Shen; Lei Lu; Tingting Zhu 001; Xinshao Wang; Lei A. Clifton; Zhengming Chen; Robert Clarke; David A. Clifton (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Individualised Treatment Effects Estimation with Composite Treatments and Composite Outcomes. - Vinod Kumar Chauhan; Lei A. Clifton; Gaurav Nigam; David A. Clifton (CoRR, 2025)

RiskAgent: Autonomous Medical AI Copilot for Generalist Risk Prediction. - Fenglin Liu; Jinge Wu; Hongjian Zhou; Xiao Gu 003; Soheila Molaei; Anshul Thakur; Lei A. Clifton; Honghan Wu; David A. Clifton (CoRR, 2025)

Bridging the Generalisation Gap: Synthetic Data Generation for Multi-Site Clinical Model Validation. - Bradley Segal; Joshua Fieggen; David A. Clifton; Lei A. Clifton (CoRR, 2025)

Aligning, Autoencoding and Prompting Large Language Models for Novel Disease Reporting. - Fenglin Liu; Xian Wu 001; Jinfa Huang; Bang Yang; Kim Branson 001; Patrick Schwab; Lei A. Clifton; Ping Zhang 016; Jiebo Luo 001; Yefeng Zheng 001; David A. Clifton (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Sensing Cardiac Health Across Scenarios and Devices: A Multi-Modal Foundation Model Pretrained on Heterogeneous Data from 1.7 Million Individuals. - Xiao Gu 003; Wei Tang; Jinpei Han; Veer Sangha; Fenglin Liu; Shreyank N. Gowda; Antônio H. Ribeiro; Patrick Schwab; Kim Branson 001; Lei A. Clifton; Antonio Luiz P. Ribeiro; Zhangdaihong Liu; et al. (CoRR, 2025)

Dynamic Beat-to-Beat Measurements of Blood Pressure Using Multimodal Physiological Signals and a Hybrid CNN-LSTM Model. - Ting Xiang; Yanwei Jin; Zijun Liu; Lei A. Clifton; David A. Clifton; Yiming Zhang; Quan Zhang; Nan Ji; Yuanting Zhang (IEEE J. Biomed. Health Informatics, 2025)