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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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