Thomas Varsavsky
Thomas Varsavsky
University College London and King's College London
Verifierad e-postadress på ucl.ac.uk
Citeras av
Citeras av
Risk of COVID-19 among front-line health-care workers and the general community: a prospective cohort study
LH Nguyen, DA Drew, MS Graham, AD Joshi, CG Guo, W Ma, RS Mehta, ...
The Lancet Public Health 5 (9), e475-e483, 2020
Real-time tracking of self-reported symptoms to predict potential COVID-19
C Menni, AM Valdes, MB Freidin, CH Sudre, LH Nguyen, DA Drew, ...
Nature medicine 26 (7), 1037-1040, 2020
Attributes and predictors of long COVID
CH Sudre, B Murray, T Varsavsky, MS Graham, RS Penfold, RC Bowyer, ...
Nature medicine 27 (4), 626-631, 2021
Rapid implementation of mobile technology for real-time epidemiology of COVID-19
DA Drew, LH Nguyen, CJ Steves, C Menni, M Freydin, T Varsavsky, ...
Science 368 (6497), 1362-1367, 2020
Changes in symptomatology, reinfection, and transmissibility associated with the SARS-CoV-2 variant B. 1.1. 7: an ecological study
MS Graham, CH Sudre, A May, M Antonelli, B Murray, T Varsavsky, ...
The Lancet Public Health 6 (5), e335-e345, 2021
Symptom clusters in COVID-19: A potential clinical prediction tool from the COVID Symptom Study app
CH Sudre, KA Lee, M Ni Lochlainn, T Varsavsky, B Murray, MS Graham, ...
Science advances 7 (12), eabd4177, 2021
Detecting COVID-19 infection hotspots in England using large-scale self-reported data from a mobile application: a prospective, observational study
T Varsavsky, MS Graham, LS Canas, S Ganesh, JC Pujol, CH Sudre, ...
The Lancet Public Health 6 (1), e21-e29, 2021
Cancer and Risk of COVID‐19 Through a General Community Survey
KA Lee, W Ma, DR Sikavi, DA Drew, LH Nguyen, RCE Bowyer, ...
The Oncologist 26 (1), e182-e185, 2021
Automated Labelling using an Attention model for Radiology reports of MRI scans (ALARM)
DA Wood, J Lynch, S Kafiabadi, E Guilhem, A Al Busaidi, A Montvila, ...
Medical Imaging with Deep Learning, 811-826, 2020
Geo-social gradients in predicted COVID-19 prevalence in Great Britain: results from 1 960 242 users of the COVID-19 Symptoms Study app
RCE Bowyer, T Varsavsky, EJ Thompson, CH Sudre, BAK Murray, ...
Thorax 76 (7), 723-725, 2021
Multi-domain Adaptation in Brain MRI Through Paired Consistency and Adversarial Learning
M Orbes-Arteaga*, T Varsavsky*, CH Sudre, Z Eaton-Rosen, LJ Haddow, ...
Domain Adaptation and Representation Transfer and Medical Image Learning …, 2019
Key predictors of attending hospital with COVID19: an association study from the COVID symptom Tracker APP in 2,618,948 individuals
MN Lochlainn, KA Lee, CH Sudre, T Varsavsky, MJ Cardoso, C Menni, ...
medRxiv, 2020
A k-space model of movement artefacts: application to segmentation augmentation and artefact removal
R Shaw, CH Sudre, T Varsavsky, S Ourselin, MJ Cardoso
IEEE transactions on medical imaging 39 (9), 2881-2892, 2020
Let’s agree to disagree: Learning highly debatable multirater labelling
CH Sudre, BG Anson, S Ingala, CD Lane, D Jimenez, L Haider, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2019
Test-time unsupervised domain adaptation
T Varsavsky, M Orbes-Arteaga, CH Sudre, MS Graham, P Nachev, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2020
PIMMS: permutation invariant multi-modal segmentation
T Varsavsky, Z Eaton-Rosen, CH Sudre, P Nachev, MJ Cardoso
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2018
3D multirater RCNN for multimodal multi class segmentation of extremely small objects (ESO)
CH Sudre, BG Anson, S Ingala, CD Lane, D Jimenez, L Haider, ...
International Conference on Medical Imaging with Deep Learning--Full Paper Track, 2018
Neuromorphologicaly-preserving Volumetric data encoding using VQ-VAE
PD Tudosiu, T Varsavsky, R Shaw, M Graham, P Nachev, S Ourselin, ...
arXiv preprint arXiv:2002.05692, 2020
Improved MR to CT synthesis for PET/MR attenuation correction using imitation learning
K Kläser, T Varsavsky, P Markiewicz, T Vercauteren, D Atkinson, ...
International Workshop on Simulation and Synthesis in Medical Imaging, 13-21, 2019
Knowledge barriers in the symptomatic-COVID-19 testing programme in the UK: an observational study
MS Graham, A May, T Varsavsky, CH Sudre, B Murray, K Kläser, ...
MedRxiv, 2021
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Artiklar 1–20