Retrieve, Reason, and Refine: Generating Accurate and Faithful Patient Instructions. - Fenglin Liu; Bang Yang; Chenyu You; Xian Wu 001; Shen Ge; Zhangdaihong Liu; Xu Sun 001; Yang Yang 125; David A. Clifton (NeurIPS, 2022)

A Deep Learning Approach for the Assessment of Signal Quality of Non-Invasive Foetal Electrocardiography. - Gert Mertes; Yuan Long; Zhangdaihong Liu; Yuhui Li; Yang Yang 125; David A. Clifton (Sensors, 2022)

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)

Patient Clustering for Vital Organ Failure Using ICD Code With Graph Attention. - Zhangdaihong Liu; Ying Hu; Xuan Wu; Gert Mertes; Yang Yang 125; David A. Clifton (IEEE Trans. Biomed. Eng., 2023)

A Comparison of Representation Learning Methods for Medical Concepts in EHR Databases. - Zhangdaihong Liu; Xuan Wu; Yang Yang 125; David A. Clifton (BCB, 2024)

Developing an Ethical Regulatory Framework for Artificial Intelligence: Integrating Systematic Review, Thematic Analysis, and Multidisciplinary Theories. - Jian Wang; Yujia Huo; Jinli Mahe; Zongyuan Ge; Zhangdaihong Liu; Wenxin Wang; Lin Zhang (IEEE Access, 2024)

Intelligent Electrocardiogram Acquisition Via Ubiquitous Photoplethysmography Monitoring. - Zhangdaihong Liu; Tingting Zhu 001; Lei Lu; Yuan-Ting Zhang; David A. Clifton (IEEE J. Biomed. Health Informatics, 2024)

DuKA: A Dual-Keyless-Attention Model for Multi-Modality EHR Data Fusion and Organ Failure Prediction. - Zhangdaihong Liu; Xuan Wu; Yang Yang 125; David A. Clifton (IEEE Trans. Biomed. Eng., 2024)

Continual learning across population cohorts with distribution shift: insights from multi-cohort metabolic syndrome identification. - Chang Liu; Zhangdaihong Liu; Jingjing Liu; Chenglai Cai; David A Clifton; Hui Wang; Yang Yang (J. Am. Medical Informatics Assoc., 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)