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Faculty of Mathematics



The impact of imputation quality on machine learning classifiers for datasets with missing values
T Shadbahr, M Roberts, J Stanczuk, J Gilbey, P Teare, S Dittmer, M Thorpe, RV Torné, E Sala, P Lió, M Patel, J Preller, AIX-COVNET Collaboration, JHF Rudd, T Mirtti, AS Rannikko, JAD Aston, J Tang, C-B Schönlieb
– Communications medicine
Stain normalization gives greater generalizability than stain jittering in neural network training for the classification of coeliac disease in duodenal biopsy whole slide images.
BA Schreiber, J Denholm, JD Gilbey, C-B Schönlieb, EJ Soilleux
– Journal of pathology informatics
Dis-AE: Multi-domain & Multi-task Generalisation on Real-World Clinical Data
D Kreuter, S Tull, J Gilbey, J Preller, B Consortium, JAD Aston, JHF Rudd, S Sivapalaratnam, C-B Schönlieb, N Gleadall, M Roberts
A pipeline to further enhance quality, integrity and reusability of the NCCID clinical data
A Breger, I Selby, M Roberts, J Babar, E Gkrania-Klotsas, J Preller, L Escudero Sanchez, J Rudd, J Aston, J Weir-McCall, E Sala, C Schoenlieb
– Scientific data
Navigating the development challenges in creating complex data systems
S Dittmer, M Roberts, J Gilbey, A Biguri, I Selby, A Breger, M Thorpe, JR Weir-McCall, E Gkrania-Klotsas, A Korhonen, E Jefferson, G Langs, G Yang, H Prosch, J Stanczuk, J Tang, J Babar, L Escudero Sánchez, P Teare, M Patel, M Wassin, M Holzer, N Walton, P Lió, T Shadbahr et al.
– Nat. Mac. Intell.
Multiple-instance-learning-based detection of coeliac disease in histological whole-slide images
J Denholm, BA Schreiber, SC Evans, OM Crook, A Sharma, JL Watson, H Bancroft, G Langman, JD Gilbey, C-B Schönlieb, MJ Arends, EJ Soilleux
– J Pathol Inform
Navigating the challenges in creating complex data systems: a development philosophy
S Dittmer, M Roberts, J Gilbey, A Biguri, AIX-COVNET Collaboration, J Preller, JHF Rudd, JAD Aston, C-B Schönlieb
An end-to-end Optical Character Recognition approach for ultra-low-resolution printed text images.
JD Gilbey, C-B Schönlieb
– CoRR
Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans
M Roberts, D Driggs, M Thorpe, J Gilbey, M Yeung, S Ursprung, AI Aviles-Rivero, C Etmann, C McCague, L Beer, JR Weir-McCall, Z Teng, E Gkrania-Klotsas, A Ruggiero, A Korhonen, E Jefferson, E Ako, G Langs, G Gozaliasl, G Yang, H Prosch, J Preller, J Stanczuk, J Tang, J Hofmanninger et al.
– Nature Machine Intelligence
Multiphoton time-domain fluorescence lifetime imaging microscopy: practical application to proteinprotein interactions using global analysis
PR Barber, SM Ameer-Beg, J Gilbey, LM Carlin, M Keppler, TC Ng, B Vojnovic
– Journal of The Royal Society Interface
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Research Group

Cambridge Image Analysis