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Thomas Varsavsky

Showing results (1-10 of 18) with videos related to

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Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|June 24, 2021
As Easy as 1, 2… 4? Uncertainty in Counting Tasks for Medical ImagingZach Eaton-Rosen, Thomas Varsavsky, Sebastien Ourselin, et al.
IEEE Transactions on Medical Imaging|March 10, 2020
A k-Space Model of Movement Artefacts: Application to Segmentation Augmentation and Artefact RemovalRichard Shaw, Carole H Sudre, Thomas Varsavsky, et al.
Medical Image Analysis|December 17, 2023
Acquisition-invariant brain MRI segmentation with informative uncertaintiesPedro Borges, Richard Shaw, Thomas Varsavsky, et al.
Medical Image Analysis|May 5, 2021
Imitation learning for improved 3D PET/MR attenuation correctionKerstin Kläser, Thomas Varsavsky, Pawel Markiewicz, et al.
Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data : First MICCAI Workshop, DART 2019, and First International Workshop, MIL3ID 2019, Shenzhen, Held in Conjunction with MICCAI 20|June 10, 2021
Multi-domain Adaptation in Brain MRI Through Paired Consistency and Adversarial LearningMauricio Orbes-Arteaga, Thomas Varsavsky, Carole H Sudre, et al.
Science (New York, N.Y.)|May 7, 2020
Rapid implementation of mobile technology for real-time epidemiology of COVID-19David A Drew, Long H Nguyen, Claire J Steves, et al.
Thorax|December 30, 2020
Geo-social gradients in predicted COVID-19 prevalence in Great Britain: results from 1 960 242 users of the COVID-19 Symptoms Study appRuth C E Bowyer, Thomas Varsavsky, Ellen J Thompson, et al.
The Lancet. Public Health|April 15, 2021
Changes in symptomatology, reinfection, and transmissibility associated with the SARS-CoV-2 variant B.1.1.7: an ecological studyMark S Graham, Carole H Sudre, Anna May, et al.
Medrxiv : the Preprint Server for Health Sciences|November 3, 2020
Detecting COVID-19 infection hotspots in England using large-scale self-reported data from a mobile application: a prospective, observational studyThomas Varsavsky, Mark S Graham, Liane S Canas, et al.
The Lancet. Public Health|December 6, 2020
Detecting COVID-19 infection hotspots in England using large-scale self-reported data from a mobile application: a prospective, observational studyThomas Varsavsky, Mark S Graham, Liane S Canas, et al.
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Showing results (1-10 of 18) with videos related to

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Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|June 24, 2021
As Easy as 1, 2… 4? Uncertainty in Counting Tasks for Medical ImagingZach Eaton-Rosen, Thomas Varsavsky, Sebastien Ourselin, et al.
IEEE Transactions on Medical Imaging|March 10, 2020
A k-Space Model of Movement Artefacts: Application to Segmentation Augmentation and Artefact RemovalRichard Shaw, Carole H Sudre, Thomas Varsavsky, et al.
Medical Image Analysis|December 17, 2023
Acquisition-invariant brain MRI segmentation with informative uncertaintiesPedro Borges, Richard Shaw, Thomas Varsavsky, et al.
Medical Image Analysis|May 5, 2021
Imitation learning for improved 3D PET/MR attenuation correctionKerstin Kläser, Thomas Varsavsky, Pawel Markiewicz, et al.
Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data : First MICCAI Workshop, DART 2019, and First International Workshop, MIL3ID 2019, Shenzhen, Held in Conjunction with MICCAI 20|June 10, 2021
Multi-domain Adaptation in Brain MRI Through Paired Consistency and Adversarial LearningMauricio Orbes-Arteaga, Thomas Varsavsky, Carole H Sudre, et al.
Science (New York, N.Y.)|May 7, 2020
Rapid implementation of mobile technology for real-time epidemiology of COVID-19David A Drew, Long H Nguyen, Claire J Steves, et al.
Thorax|December 30, 2020
Geo-social gradients in predicted COVID-19 prevalence in Great Britain: results from 1 960 242 users of the COVID-19 Symptoms Study appRuth C E Bowyer, Thomas Varsavsky, Ellen J Thompson, et al.
The Lancet. Public Health|April 15, 2021
Changes in symptomatology, reinfection, and transmissibility associated with the SARS-CoV-2 variant B.1.1.7: an ecological studyMark S Graham, Carole H Sudre, Anna May, et al.
Medrxiv : the Preprint Server for Health Sciences|November 3, 2020
Detecting COVID-19 infection hotspots in England using large-scale self-reported data from a mobile application: a prospective, observational studyThomas Varsavsky, Mark S Graham, Liane S Canas, et al.
The Lancet. Public Health|December 6, 2020
Detecting COVID-19 infection hotspots in England using large-scale self-reported data from a mobile application: a prospective, observational studyThomas Varsavsky, Mark S Graham, Liane S Canas, et al.
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