Trustworthy image-to-image translation: evaluating uncertainty calibration in unpaired training scenarios. - Ciaran Bench; Emir Ahmed; Spencer A. Thomas (CoRR, 2025)

Style transfer as data augmentation: evaluating unpaired image-to-image translation models in mammography. - Emir Ahmed; Spencer A. Thomas; Ciaran Bench (CoRR, 2025)

Machine-learning for photoplethysmography analysis: Benchmarking feature, image, and signal-based approaches. - Mohammad Moulaeifard; Loic Coquelin; Mantas Rinkevicius; Andrius Solosenko; Oskar Pfeffer; Ciaran Bench; Nando Hegemann; Sara Vardanega; Manasi Nandi; Jordi Alastruey; Christian Heiss; Vaidotas Marozas; et al. (CoRR, 2025)

Quantifying the uncertainty of model-based synthetic image quality metrics. - Ciaran Bench; Spencer A. Thomas (CoRR, 2025)

Uncertainty quantification with approximate variational learning for wearable photoplethysmography prediction tasks. - Ciaran Bench; Vivek Desai; Mohammad Moulaeifard; Nils Strodthoff; Philip J. Aston; Andrew Thompson 014 (CoRR, 2025)