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Emma C Robinson

Showing results (11-20 of 45) with videos related to

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Imaging Neuroscience (Cambridge, Mass.)|August 13, 2025
Applications of interpretable deep learning in neuroimaging: A comprehensive reviewLindsay Munroe, Mariana da Silva, Faezeh Heidari, et al.
Medical Image Analysis|December 4, 2024
The Developing Human Connectome Project: A fast deep learning-based pipeline for neonatal cortical surface reconstructionQiang Ma, Kaili Liang, Liu Li, et al.
Neuroimage|January 20, 2015
Large-scale probabilistic functional modes from resting state fMRISamuel J Harrison, Mark W Woolrich, Emma C Robinson, et al.
Elife|March 24, 2020
Cross-species cortical alignment identifies different types of anatomical reorganization in the primate temporal lobeNicole Eichert, Emma C Robinson, Katherine L Bryant, et al.
Elife|February 17, 2018
The relationship between spatial configuration and functional connectivity of brain regionsJanine Diane Bijsterbosch, Mark W Woolrich, Matthew F Glasser, et al.
Proceedings of the National Academy of Sciences of the United States of America|May 7, 2014
Rich-club organization of the newborn human brainGareth Ball, Paul Aljabar, Sally Zebari, et al.
Neuroimage|June 28, 2014
Correspondences between retinotopic areas and myelin maps in human visual cortexRouhollah O Abdollahi, Hauke Kolster, Matthew F Glasser, et al.
Neuroimage|June 19, 2014
MSM: a new flexible framework for Multimodal Surface MatchingEmma C Robinson, Saad Jbabdi, Matthew F Glasser, et al.
Information Processing in Medical Imaging : Proceedings of the ... Conference|April 2, 2014
Multimodal surface matching: fast and generalisable cortical registration using discrete optimisationEmma C Robinson, Saad Jbabdi, Jesper Andersson, et al.
Nature|July 21, 2016
A multi-modal parcellation of human cerebral cortexMatthew F Glasser, Timothy S Coalson, Emma C Robinson, et al.
Pageof 5

Showing results (11-20 of 45) with videos related to

Sort By:
Pageof 5
Imaging Neuroscience (Cambridge, Mass.)|August 13, 2025
Applications of interpretable deep learning in neuroimaging: A comprehensive reviewLindsay Munroe, Mariana da Silva, Faezeh Heidari, et al.
Medical Image Analysis|December 4, 2024
The Developing Human Connectome Project: A fast deep learning-based pipeline for neonatal cortical surface reconstructionQiang Ma, Kaili Liang, Liu Li, et al.
Neuroimage|January 20, 2015
Large-scale probabilistic functional modes from resting state fMRISamuel J Harrison, Mark W Woolrich, Emma C Robinson, et al.
Elife|March 24, 2020
Cross-species cortical alignment identifies different types of anatomical reorganization in the primate temporal lobeNicole Eichert, Emma C Robinson, Katherine L Bryant, et al.
Elife|February 17, 2018
The relationship between spatial configuration and functional connectivity of brain regionsJanine Diane Bijsterbosch, Mark W Woolrich, Matthew F Glasser, et al.
Proceedings of the National Academy of Sciences of the United States of America|May 7, 2014
Rich-club organization of the newborn human brainGareth Ball, Paul Aljabar, Sally Zebari, et al.
Neuroimage|June 28, 2014
Correspondences between retinotopic areas and myelin maps in human visual cortexRouhollah O Abdollahi, Hauke Kolster, Matthew F Glasser, et al.
Neuroimage|June 19, 2014
MSM: a new flexible framework for Multimodal Surface MatchingEmma C Robinson, Saad Jbabdi, Matthew F Glasser, et al.
Information Processing in Medical Imaging : Proceedings of the ... Conference|April 2, 2014
Multimodal surface matching: fast and generalisable cortical registration using discrete optimisationEmma C Robinson, Saad Jbabdi, Jesper Andersson, et al.
Nature|July 21, 2016
A multi-modal parcellation of human cerebral cortexMatthew F Glasser, Timothy S Coalson, Emma C Robinson, et al.
Pageof 5