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Department of Applied Mathematics and Theoretical Physics

Publications

The Impact of Imputation Quality on Machine Learning Classifier Performance 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
(2023)
3,
139
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
– J Pathol Inform
(2023)
14,
100324
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
(2023)
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 Sánchez, AIX-COVNET Collaboration, JHF Rudd, JAD Aston, JR Weir-McCall, E Sala, C-B Schönlieb
– Sci Data
(2023)
10,
493
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, E Sala, J Preller, JHF Rudd, JAD Aston, CB Schönlieb
– Nature Machine Intelligence
(2023)
5,
681
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
(2022)
13,
100151
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
(2022)
An end-to-end Optical Character Recognition approach for ultra-low-resolution printed text images.
JD Gilbey, C-B Schönlieb
– CoRR
(2021)
abs/2105.04515,
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, J Babar, LE Sánchez, M Thillai, PM Gonzalez, P Teare, X Zhu, M Patel, C Cafolla, H Azadbakht, J Jacob, J Lowe, K Zhang, K Bradley, M Wassin, M Holzer, K Ji, MD Ortet, T Ai, N Walton, P Lio, S Stranks, T Shadbahr, W Lin, Y Zha, Z Niu, JHF Rudd, E Sala, CB Schönlieb
– Nature Machine Intelligence
(2021)
3,
199
Multiphoton time-domain FLIM: Practical application to protein-protein 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
(2008)
6,
s93
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Research Group

Cambridge Image Analysis

Room

F1.11