Masks and manuscripts: advancing medical pre-training with end-to-end masking and narrative structuring by Gowda, SN, Clifton, DA

Unleashing the power of federated learning in fragmented digital healthcare systems: a visionary perspective by Tania, MH, Clifton, DA

Machine learning for clinical outcome prediction by Shamout, F, Zhu, T, Clifton, DA

CLOCS: contrastive learning of cardiac signals across space, time, and patients by Kiyasseh, D, Zhu, T, Clifton, DA

Smartwatch data help detect COVID-19 by Zhu, T, Watkinson, P, Clifton, DA

Comparison of parametric and non-parametric Bayesian inference for fusing sensory estimates in physiological time-series analysis by Zhu, T, Javed, H, Clifton, DA

Bayesian optimisation of personalised models for patient vital-sign monitoring by Colopy, GW, Roberts, SJ, Clifton, DA

Multimodal learning with transformers: a survey by Xu, P, Zhu, X, Clifton, DA

Dynamic neural graphs based federated reptile for semi-supervised multi-tasking in healthcare applications by Thakur, A, Sharma, P, Clifton, DA

Machine learning generalizability across healthcare settings: insights from multi-site COVID-19 screening by Yang, J, Soltan, AAS, Clifton, DA

On the effectiveness of compact biomedical transformers by Rohanian, O, Nouriborji, M, Kouchaki, S, Clifton, DA

Spectrum estimation of heart rate variability using low-rank matrix completion by Lu, L, Zhu, T, Zhang, Y-T, Clifton, DA

Physical activity and asthma symptom control in children during COVID-19 lockdown: A feasibility study by Ding, X, Whelan, ME, Clifton, DA, Zhu, T

DuKA: A dual-keyless-attention model for multi-modality EHR data fusion and organ failure prediction by Liu, Z, Wu, X, Yang, Y, Clifton, DA

Point process models for novelty detection on spatial point patterns and their extremes by Luca, SE, Pimentel, MAF, Watkinson, PJ, Clifton, DA

Clinical prediction models in epidemiological studies: lessons from the application of QRISK3 to UK Biobank Data by Parsons, RE, Colopy, GW, Clifton, DA, Clifton, L

Accelerometry-based estimation of respiratory rate for post-intensive care patient monitoring by Jarchi, D, Rodgers, S-J, Tarassenko, L, Clifton, DA

Algorithmic fairness and bias mitigation for clinical machine learning with deep reinforcement learning by Yang, J, Soltan, AAS, Eyre, DW, Clifton, DA

Reinforcement learning for imbalanced vehicle booming noise classification by Yang, J, Kunte, DS, Cornelis, B, Clifton, DA

Interpretable machine learning-based decision support for prediction of antibiotic resistance for complicated urinary tract infections by Yang, J, Eyre, DW, Lu, L, Clifton, DA