Parking functions, valet functions and priority queues. - Julian D. Gilbey; Louis H. Kalikow (Discret. Math., 1999)

Machine learning for COVID-19 detection and prognostication using chest radiographs and CT scans: a systematic methodological review. - Michael Roberts; Derek Driggs; Matthew Thorpe; Julian D. Gilbey; Michael Yeung; Stephan Ursprung; Angelica I. Avilés-Rivero; Christian Etmann; Cathal McCague; Lucian Beer; Jonathan R. Weir-McCall; Zhongzhao Teng; et al. (CoRR, 2020)

Low resolution scanned text dataset for optical character recognition. - Julian D. Gilbey; Carola-Bibiane Schönlieb (Zenodo, 2020)

Trained tesseract networks for low-resolution optical character recognition. - Julian D. Gilbey; Carola-Bibiane Schönlieb (Zenodo, 2020)

An end-to-end Optical Character Recognition approach for ultra-low-resolution printed text images. - Julian D. Gilbey; Carola-Bibiane Schönlieb (CoRR, 2021)

Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans. - Michael Roberts; Derek Driggs; Matthew Thorpe; Julian D. Gilbey; Michael Yeung; Stephan Ursprung; Angelica I. Avilés-Rivero; Christian Etmann; Cathal McCague; Lucian Beer; Jonathan R. Weir-McCall; Zhongzhao Teng; et al. (Nat. Mach. Intell., 2021)

Classification of datasets with imputed missing values: does imputation quality matter? - Tolou Shadbahr; Michael Roberts; Jan Stanczuk; Julian D. Gilbey; Philip Teare; Sören Dittmer; Matthew Thorpe; Ramón Viñas Torné 001; Evis Sala; Pietro Lió; Mishal Patel; AIX-COVNET Collaboration; et al. (CoRR, 2022)

Navigating the challenges in creating complex data systems: a development philosophy. - Sören Dittmer; Michael Roberts; Julian D. Gilbey; Ander Biguri; AIX-COVNET Collaboration; Jacobus Preller; James H. F. Rudd; John A. D. Aston; Carola-Bibiane Schönlieb (CoRR, 2022)

Dis-AE: Multi-domain & Multi-task Generalisation on Real-World Clinical Data. - Daniel Kreuter; Samuel Tull; Julian D. Gilbey; Jacobus Preller; BloodCounts Consortium; John A. D. Aston; James H. F. Rudd; Suthesh Sivapalaratnam; Carola-Bibiane Schönlieb; Nicholas S. Gleadall; Michael Roberts (CoRR, 2023)

Navigating the development challenges in creating complex data systems. - Sören Dittmer; Michael Roberts; Julian D. Gilbey; Ander Biguri; Ian Selby; Anna Breger; Matthew Thorpe; Jonathan R. Weir-McCall; Effrossyni Gkrania-Klotsas; Anna Korhonen; Emily R. Jefferson; Georg Langs; et al. (Nat. Mac. Intell., 2023)

Deep Generative Classification of Blood Cell Morphology. - Simon Deltadahl; Julian D. Gilbey; Christine van Laer; Nancy Boeckx; Mathie P. G. Leers; Tanya Freeman; Laura Aiken; Timothy Farren; Matthew Smith; Mohamad Zeina; BloodCounts Consortium; Concetta Piazzese; et al. (CoRR, 2024)