引用次数
引用: 10,728
H-指数: 30
I10-指数 : 49
出版物: 84
Multivariate Statistical Analysis of Whole Brain Structural Networks Obtained Using Probabilistic Tractography
Emma C. Robinson , Michel Valstar , Alexander Hammers , Anders Ericsson
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2008 11 486 -493
17
2008
Functional connectomics from resting-state fMRI
Stephen M. Smith , Diego Vidaurre , Christian F. Beckmann , Matthew F. Glasser
Trends in Cognitive Sciences 17 ( 12) 666 -682
859
2013
Reproducible Large-Scale Neuroimaging Studies with the OpenMOLE Workflow Management System.
Jonathan Passerat-Palmbach , Romain Reuillon , Mathieu Leclaire , Antonios Makropoulos
Frontiers in Neuroinformatics 11 21
5
2017
A probabilistic framework to infer brain functional connectivity from anatomical connections
Fani Deligianni , Gael Varoquaux , Bertrand Thirion , Emma Robinson
information processing in medical imaging 22 296 -307
24
2011
The Developing Human Connectome: announcing the first release of open access neonatal brain imaging
Emer Hughes , Lucilio Cordero-Grande , Maria Murgasova , Jana Hutter
Organization for Human Brain Mapp 25 -29
19
2017
Imaging Neuroscience opening editorial
Stephen Smith , Til Ole Bergmann , Birte Forstmann , Alain Dagher
Imaging Neuroscience 1 1 -4
1
2023
The developing human connectome project automated functional pre-processing pipeline for neonates
Sean Fitzgibbon , Jesper Andersson , Samuel Harrison , Emma Robinson
23rd Annual Meeting of the Organization for Human Brain Mapping
4
2017
Developing Human Connectome Project spatio-temporal surface atlas of the fetal brain
Vycheslav Karolis , Logan Williams , Vanessa Kyriakopoulou , Jelena Bozek
2
2023
Inference of functional connectivity from direct and indirect structural brain connections
Fani Deligianni , Emma Robinson , Christian F Beckmann , David Sharp
Biomedical Imaging: From Nano to Macro, 2011 IEEE International Symposium on 849 -852
16
2011
Biomechanical modelling of brain atrophy through deep learning
Mariana da Silva , Kara Garcia , Carole H Sudre , Cher Bass
arXiv preprint arXiv:2012.07596
4
2020
Predicting gestational age at birth in the context of preterm birth from multi-modal fetal MRI
Diego Fajardo-Rojas , Megan Hall , Daniel Cromb , Mary A Rutherford
medRxiv 2024.02. 17.24302791 -2024.02. 17.24302791
2024
A Deep Generative Model of Neonatal Cortical Surface Development
Abdulah Fawaz , Logan ZJ Williams , A David Edwards , Emma Robinson
arXiv preprint arXiv:2206.07542
2022
Characterising population variability in brain structure through models of whole-brain structural connectivity.
Emma Claire Robinson
Imperial College London
2010
Molecular signatures of cortical expansion in the human fetal brain
Gareth Ball , Stuart Oldham , Vanessa Kyriakopoulou , Logan Zane John Williams
bioRxiv 2024.02. 13.580198 -2024.02. 13.580198
2024
Spatio-Temporal Encoding of Brain Dynamics with Surface Masked Autoencoders
Simon Dahan , Logan Zane John Williams , Yourong Guo , Daniel Rueckert
Medical Imaging with Deep Learning
2024
Geneneralising the HCP multimodal cortical parcellation to UK Biobank
Logan Zane John Williams , Matthew F Glasser , Fidel Alfaro-Almagro , Simon Dahan
bioRxiv 2023.03. 14.532531 -2023.03. 14.532531
3
2023
GeoMorph: Geometric Deep Learning for Cortical Surface Registration
Mohamed A Suliman , Logan Zane John Williams , Abdulah Fawaz , Emma Claire Robinson
Geometric Deep Learning in Medical Image Analysis
2
2022
Surface Generative Modelling of Neurodevelopmental Trajectories
Abdulah Fawaz , Saga NB Masui , Logan Zane John Williams , Simon Dahan
bioRxiv 2023.10. 16.562598 -2023.10. 16.562598
1
2023
Predicting Preterm Birth Using Multimodal Fetal Imaging
Riine Heinsalu , Logan Williams , Aditi Ranjan , Carla Avena Zampieri
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis: 3rd International Workshop, UNSURE 2021, and 6th International Workshop, PIPPI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings 3 284 -293
1
2021
Rich-club organization of the newborn human brain
G. Ball , P. Aljabar , S. Zebari , N. Tusor
Proceedings of the National Academy of Sciences of the United States of America 111 ( 20) 7456 -7461
323
2014