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
993 2021 Optimal mass transport: Signal processing and machine-learning applications S Kolouri, SR Park, M Thorpe, D Slepcev, GK Rohde
IEEE signal processing magazine 34 (4), 43-59, 2017
532 2017 Analysis of D Slepcev, M Thorpe
SIAM Journal on Mathematical Analysis 51 (3), 2085-2120, 2019
152 2019 Poisson learning: Graph based semi-supervised learning at very low label rates J Calder, B Cook, M Thorpe, D Slepcev
International Conference on Machine Learning, 1306-1316, 2020
110 2020 SARS-CoV-2-specific nasal IgA wanes 9 months after hospitalisation with COVID-19 and is not induced by subsequent vaccination F Liew, S Talwar, A Cross, BJ Willett, S Scott, N Logan, MK Siggins, ...
EBioMedicine 87, 2023
93 2023 GRAND++: Graph neural diffusion with a source term M Thorpe, T Nguyen, H Xia, T Strohmer, A Bertozzi, S Osher, B Wang
ICLR, 2022
90 2022 A Transportation M Thorpe, S Park, S Kolouri, GK Rohde, D Slepčev
Journal of mathematical imaging and vision 59, 187-210, 2017
87 2017 Large data and zero noise limits of graph-based semi-supervised learning algorithms MM Dunlop, D Slepčev, AM Stuart, M Thorpe
Applied and Computational Harmonic Analysis 49 (2), 655-697, 2020
64 2020 Deep limits of residual neural networks M Thorpe, Y van Gennip
arXiv preprint arXiv:1810.11741, 2018
62 2018 Introduction to optimal transport M Thorpe
Notes of Course at University of Cambridge, 2018
51 2018 Large-scale phenotyping of patients with long COVID post-hospitalization reveals mechanistic subtypes of disease F Liew, C Efstathiou, S Fontanella, M Richardson, R Saunders, ...
Nature immunology, 1-15, 2024
43 2024 Rates of convergence for Laplacian semi-supervised learning with low labeling rates J Calder, D Slepčev, M Thorpe
Research in the Mathematical Sciences 10 (1), 10, 2023
41 2023 Transport-based analysis, modeling, and learning from signal and data distributions S Kolouri, S Park, M Thorpe, D Slepčev, GK Rohde
arXiv preprint arXiv:1609.04767, 2016
36 2016 Sliced optimal partial transport Y Bai, B Schmitzer, M Thorpe, S Kolouri
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
31 2023 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
30 2023 The Linearized Hellinger--Kantorovich Distance T Cai, J Cheng, B Schmitzer, M Thorpe
SIAM Journal on Imaging Sciences 15 (1), 45-83, 2022
25 2022 Machine learning for COVID-19 detection and prognostication using chest radiographs and CT scans: a systematic methodological review M Roberts, D Driggs, M Thorpe, J Gilbey, M Yeung, S Ursprung, ...
arXiv preprint arXiv:2008.06388, 2020
25 2020 Convergence of the M Thorpe, F Theil, AM Johansen, N Cade
SIAM Journal on Applied Mathematics 75 (6), 2444-2474, 2015
25 2015 AIX-COVNET M Roberts, D Driggs, M Thorpe, J Gilbey, M Yeung, S Ursprung, ...
Common pitfalls and recommendations for using machine learning to detect and …, 2021
22 2021 Asymptotic analysis of the Ginzburg–Landau functional on point clouds M Thorpe, F Theil
Proceedings of the Royal Society of Edinburgh Section A: Mathematics 149 (2 …, 2019
20 2019 