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Carole H Sudre

Showing results (1-10 of 172) with videos related to

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Medical Image Analysis|March 11, 2017
Longitudinal segmentation of age-related white matter hyperintensitiesCarole H Sudre, M Jorge Cardoso, Sebastien Ourselin, et al.
Information Processing in Medical Imaging : Proceedings of the ... Conference|July 30, 2015
Template-Based Multimodal Joint Generative Model of Brain DataM Jorge Cardoso, Carole H Sudre, Marc Modat, et al.
Frontiers in Neurology|April 1, 2026
Editorial: Vascular diseases of the brain: insights, progress and lessons learnedRafael Rehwald, Carole H Sudre, Pedro L Vilela, 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.
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support : Third International Workshop, DLMIA 2017, and 7Th International Workshop, ML-CDS 2017, Held in Conjunction with MICCAI 2017 Quebec City, QC|June 9, 2021
Generalised Dice Overlap as a Deep Learning Loss Function for Highly Unbalanced SegmentationsCarole H Sudre, Wenqi Li, Tom Vercauteren, et al.
Lancet (London, England)|November 6, 2020
Widespread smell testing for COVID-19 has limited application - Authors' replyCristina Menni, Carole H Sudre, Claire J Steves, et al.
Lancet (London, England)|June 8, 2020
Quantifying additional COVID-19 symptoms will save livesCristina Menni, Carole H Sudre, Claire J Steves, et al.
Brain Communications|December 16, 2022
Polygenic coronary artery disease association with brain atrophy in the cognitively impairedEric de Silva, Carole H Sudre, Josephine Barnes, et al.
Annals of Neurology|December 24, 2022
Biomarkers of Migraine and Cluster Headache: Differences and SimilaritiesRoberta Messina, Carole H Sudre, Diana Y Wei, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 22, 2014
Bayesian model selection for pathological dataCarole H Sudre, Manuel Jorge Cardoso, Willem Bouvy, et al.
Pageof 18

Showing results (1-10 of 172) with videos related to

Sort By:
Pageof 18
Medical Image Analysis|March 11, 2017
Longitudinal segmentation of age-related white matter hyperintensitiesCarole H Sudre, M Jorge Cardoso, Sebastien Ourselin, et al.
Information Processing in Medical Imaging : Proceedings of the ... Conference|July 30, 2015
Template-Based Multimodal Joint Generative Model of Brain DataM Jorge Cardoso, Carole H Sudre, Marc Modat, et al.
Frontiers in Neurology|April 1, 2026
Editorial: Vascular diseases of the brain: insights, progress and lessons learnedRafael Rehwald, Carole H Sudre, Pedro L Vilela, 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.
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support : Third International Workshop, DLMIA 2017, and 7Th International Workshop, ML-CDS 2017, Held in Conjunction with MICCAI 2017 Quebec City, QC|June 9, 2021
Generalised Dice Overlap as a Deep Learning Loss Function for Highly Unbalanced SegmentationsCarole H Sudre, Wenqi Li, Tom Vercauteren, et al.
Lancet (London, England)|November 6, 2020
Widespread smell testing for COVID-19 has limited application - Authors' replyCristina Menni, Carole H Sudre, Claire J Steves, et al.
Lancet (London, England)|June 8, 2020
Quantifying additional COVID-19 symptoms will save livesCristina Menni, Carole H Sudre, Claire J Steves, et al.
Brain Communications|December 16, 2022
Polygenic coronary artery disease association with brain atrophy in the cognitively impairedEric de Silva, Carole H Sudre, Josephine Barnes, et al.
Annals of Neurology|December 24, 2022
Biomarkers of Migraine and Cluster Headache: Differences and SimilaritiesRoberta Messina, Carole H Sudre, Diana Y Wei, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 22, 2014
Bayesian model selection for pathological dataCarole H Sudre, Manuel Jorge Cardoso, Willem Bouvy, et al.
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