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Mark S Graham

Showing results (11-20 of 41) with videos related to

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Medical Image Analysis|July 26, 2024
Generating multi-pathological and multi-modal images and labels for brain MRIVirginia Fernandez, Walter Hugo Lopez Pinaya, Pedro Borges, et al.
... IEEE International Conference on Computer Vision Workshops. IEEE International Conference on Computer Vision|August 29, 2024
Self-Supervised Anomaly Detection from Anomalous Training Data via Iterative Latent Token MaskingAshay Patel, Petru-Daniel Tudosiu, Walter H L Pinaya, et al.
Nature Machine Intelligence|July 26, 2024
Realistic morphology-preserving generative modelling of the brainPetru-Daniel Tudosiu, Walter H L Pinaya, Pedro Ferreira Da Costa, et al.
Medical Image Analysis|October 1, 2023
Latent Transformer Models for out-of-distribution detectionMark S Graham, Petru-Daniel Tudosiu, Paul Wright, et al.
The Lancet. Digital Health|August 2, 2021
Early detection of COVID-19 in the UK using self-reported symptoms: a large-scale, prospective, epidemiological surveillance studyLiane S Canas, Carole H Sudre, Joan Capdevila Pujol, et al.
Scientific Data|November 23, 2021
Accessible data curation and analytics for international-scale citizen science datasetsBenjamin Murray, Eric Kerfoot, Liyuan Chen, 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.
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.
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.
Nature Food|April 28, 2023
Diet and lifestyle behaviour disruption related to the pandemic was varied and bidirectional among US and UK adults participating in the ZOE COVID StudyMohsen Mazidi, Emily R Leeming, Jordi Merino, et al.
Pageof 5

Showing results (11-20 of 41) with videos related to

Sort By:
Pageof 5
Medical Image Analysis|July 26, 2024
Generating multi-pathological and multi-modal images and labels for brain MRIVirginia Fernandez, Walter Hugo Lopez Pinaya, Pedro Borges, et al.
... IEEE International Conference on Computer Vision Workshops. IEEE International Conference on Computer Vision|August 29, 2024
Self-Supervised Anomaly Detection from Anomalous Training Data via Iterative Latent Token MaskingAshay Patel, Petru-Daniel Tudosiu, Walter H L Pinaya, et al.
Nature Machine Intelligence|July 26, 2024
Realistic morphology-preserving generative modelling of the brainPetru-Daniel Tudosiu, Walter H L Pinaya, Pedro Ferreira Da Costa, et al.
Medical Image Analysis|October 1, 2023
Latent Transformer Models for out-of-distribution detectionMark S Graham, Petru-Daniel Tudosiu, Paul Wright, et al.
The Lancet. Digital Health|August 2, 2021
Early detection of COVID-19 in the UK using self-reported symptoms: a large-scale, prospective, epidemiological surveillance studyLiane S Canas, Carole H Sudre, Joan Capdevila Pujol, et al.
Scientific Data|November 23, 2021
Accessible data curation and analytics for international-scale citizen science datasetsBenjamin Murray, Eric Kerfoot, Liyuan Chen, 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.
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.
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.
Nature Food|April 28, 2023
Diet and lifestyle behaviour disruption related to the pandemic was varied and bidirectional among US and UK adults participating in the ZOE COVID StudyMohsen Mazidi, Emily R Leeming, Jordi Merino, et al.
Pageof 5