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, ...
Nature Machine Intelligence 3 (3), 199-217, 2021
1032 2021 A deep-learning pipeline for the diagnosis and discrimination of viral, non-viral and COVID-19 pneumonia from chest X-ray images G Wang, X Liu, J Shen, C Wang, Z Li, L Ye, X Wu, T Chen, K Wang, ...
Nature biomedical engineering 5 (6), 509-521, 2021
168 2021 Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions Y Nan, J Del Ser, S Walsh, C Schönlieb, M Roberts, I Selby, K Howard, ...
Information Fusion 82, 99-122, 2022
130 2022 Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence X Bai, H Wang, L Ma, Y Xu, J Gan, Z Fan, F Yang, K Ma, J Yang, S Bai, ...
Nature Machine Intelligence 3 (12), 1081-1089, 2021
61 2021 REFORMS: Consensus-based Recommendations for Machine-learning-based Science S Kapoor, EM Cantrell, K Peng, TH Pham, CA Bail, OE Gundersen, ...
Science Advances 10 (18), eadk3452, 2024
50 * 2024 Assessing robustness of carotid artery CT angiography radiomics in the identification of culprit lesions in cerebrovascular events EPV Le, L Rundo, JM Tarkin, NR Evans, MM Chowdhury, PA Coughlin, ...
Scientific Reports 11 (1), 3499, 2021
50 2021 Comparative performance of fully-automated and semi-automated artificial intelligence methods for the detection of clinically significant prostate cancer on MRI: a systematic … N Sushentsev, N Moreira Da Silva, M Yeung, T Barrett, E Sala, M Roberts, ...
Insights into imaging 13 (1), 59, 2022
48 2022 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, ...
Communications Medicine 3 (1), 139, 2023
42 * 2023 A convex geodesic selective model for image segmentation M Roberts, K Chen, KL Irion
Journal of Mathematical Imaging and Vision 61 (4), 482-503, 2019
39 2019 Machine learning for COVID-19 diagnosis and prognostication: lessons for amplifying the signal while reducing the noise D Driggs, I Selby, M Roberts, E Gkrania-Klotsas, JHF Rudd, G Yang, ...
Radiology: Artificial Intelligence 3 (4), e210011, 2021
34 2021 Chan–vese reformulation for selective image segmentation M Roberts, J Spencer
Journal of Mathematical Imaging and Vision 61 (8), 1173-1196, 2019
18 2019 Recent methodological advances in federated learning for healthcare F Zhang, D Kreuter, Y Chen, S Dittmer, S Tull, T Shadbahr, M Schut, ...
Patterns 5 (6), 2024
10 2024 A Classification of Non-Compact Coxeter Polytopes with M Roberts
arXiv preprint arXiv:1511.08451, 2015
10 2015 When AI Eats Itself: On the Caveats of Data Pollution in the Era of Generative AI X Xing, F Shi, J Huang, Y Wu, Y Nan, S Zhang, Y Fang, M Roberts, ...
arXiv preprint arXiv:2405.09597, 2024
7 2024 Navigating the development challenges in creating complex data systems S Dittmer, M Roberts, J Gilbey, A Biguri, J Preller, JHF Rudd, JAD Aston, ...
Nature Machine Intelligence 5 (7), 681-686, 2023
6 2023 Infrared thermography as a non-invasive scanner for concealed weapon detection WL Khor, YK Chen, M Roberts, F Ciampa
Cranfield University, 2024
5 2024 A study on the adequacy of common IQA measures for medical images A Breger, C Karner, I Selby, J Gröhl, S Dittmer, E Lilley, J Babar, ...
arXiv preprint arXiv:2405.19224, 2024
4 2024 Late Breaking Abstract-Fully automated airway measurement correlates with radiological disease progression in Idiopathic Pulmonary Fibrosis M Roberts, K Kirov, T Mclellan, E Morgan, F Kanavati, D Gallagher, ...
European Respiratory Journal 58 (suppl 65), 2021
4 2021 A study of why we need to reassess full reference image quality assessment with medical images A Breger, A Biguri, MS Landman, I Selby, N Amberg, E Brunner, J Gröhl, ...
arXiv preprint arXiv:2405.19097, 2024
3 2024 On an effective multigrid solver for solving a class of variational problems with application to image segmentation M Roberts, K Chen, J Li, KL Irion
International Journal of Computer Mathematics 97 (10), 2015-2035, 2020
3 2020 