Dr Julian Gilbey

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)

139

(doi: 10.1038/s43856-023-00356-z)

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

(2023)

14,

100324

(doi: 10.1016/j.jpi.2023.100324)

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)

(doi: 10.48550/arxiv.2306.09177)

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

– Sci Data

(2023)

10,

493

(doi: 10.1038/s41597-023-02340-7)

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)

681

(doi: 10.1038/s42256-023-00665-x)

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

– Journal of Pathology Informatics

(2022)

13,

100151

(doi: 10.1016/j.jpi.2022.100151)

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)

(doi: 10.48550/arxiv.2210.13191)

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,

(link to publication)

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)

199

(doi: 10.1038/s42256-021-00307-0)

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

(2008)

S93

(doi: 10.1098/rsif.2008.0451.focus)

Cambridge Image Analysis

Publications

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Study at Cambridge

About the University

Research at Cambridge