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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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