Varsavsky, Thomas

Attributes and predictors of long COVID

Sudre, C. H., Murray, B., Varsavsky, T., Graham, M. S., Penfold, R. S., Bowyer, R. C., Pujol, J. C., Klaser, K., Antonelli, M., Canas, L. S., et al. (2021) · Nature Medicine

Long-Term Effects of COVID-19COVID-19 Clinical Research Studies

Cited by 2,707

Real-time tracking of self-reported symptoms to predict potential COVID-19

Menni, C., Valdes, A. M., Freidin, M. B., Sudre, C. H., Nguyen, L. H., Drew, D. A., Ganesh, S., Varsavsky, T., Cardoso, M. J., El-Sayed Moustafa, J. S., et al. (2020) · Nature Medicine

COVID-19 Digital Contact TracingData-Driven Disease Surveillance

Cited by 1,517

Rapid implementation of mobile technology for real-time epidemiology of COVID-19

Drew, D. A., Nguyen, L. H., Steves, C. J., Menni, C., Freydin, M., Varsavsky, T., Sudre, C. H., Cardoso, M. J., Ourselin, S., Wolf, J., et al. (2020) · Science

Data-Driven Disease SurveillanceCOVID-19 Digital Contact Tracing

Cited by 389

Changes in symptomatology, reinfection, and transmissibility associated with the SARS-CoV-2 variant B.1.1.7: an ecological study

Graham, M. S., Sudre, C. H., May, A., Antonelli, M., Murray, B., Varsavsky, T., Kläser, K., Canas, L. S., Molteni, E., Modat, M., et al. (2021) · The Lancet Public Health

SARS-CoV-2 and COVID-19 ResearchCOVID-19 epidemiological studies

Cited by 304

Geo-social gradients in predicted COVID-19 prevalence in Great Britain: results from 1 960 242 users of the COVID-19 Symptoms Study app

Bowyer, R. C. E., Varsavsky, T., Thompson, E. J., Sudre, C. H., Murray, B. A. K., Freidin, M. B., Yarand, D., Ganesh, S., Capdevila, J., Bakker, E., et al. (2021) · Thorax

COVID-19 epidemiological studiesData-Driven Disease Surveillance

Cited by 24

PIMMS: Permutation Invariant Multi-modal Segmentation

Varsavsky, T., Eaton-Rosen, Z., Sudre, C. H., Nachev, P., & Cardoso, M. J. (2018) · Lecture Notes in Computer Science

Medical Image Segmentation TechniquesBrain Tumor Detection and Classification

Cited by 22

As Easy as 1, 2...4? Uncertainty in Counting Tasks for Medical Imaging

Eaton-Rosen, Z., Varsavsky, T., Ourselin, S., & Cardoso, M. J. (2019) · Lecture Notes in Computer Science

Medical Image Segmentation TechniquesCell Image Analysis Techniques

Cited by 14