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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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