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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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