Emer J. Hughes
Orcid: 0000-0002-9867-3179
According to our database1,
Emer J. Hughes
authored at least 19 papers
between 2012 and 2022.
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Bibliography
2022
2021
Simultaneous quantification of GABA, Glx and GSH in the neonatal human brain using magnetic resonance spectroscopy.
NeuroImage, 2021
Preterm birth alters the development of cortical microstructure and morphology at term-equivalent age.
NeuroImage, 2021
Scattered slice SHARD reconstruction for motion correction in multi-shell diffusion MRI.
NeuroImage, 2021
Spatio-Temporal Atlas of Normal Fetal Craniofacial Feature Development and CNN-Based Ocular Biometry for Motion-Corrected Fetal MRI.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis, 2021
2020
The developing Human Connectome Project (dHCP) automated resting-state functional processing framework for newborn infants.
NeuroImage, 2020
A deep learning approach to segmentation of the developing cortex in fetal brain MRI with minimal manual labeling.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020
2019
A framework for multi-component analysis of diffusion MRI data over the neonatal period.
NeuroImage, 2019
Different patterns of cortical maturation before and after 38 weeks gestational age demonstrated by diffusion MRI <i>in vivo</i>.
NeuroImage, 2019
Automated processing pipeline for neonatal diffusion MRI in the developing Human Connectome Project.
NeuroImage, 2019
2018
NeuroImage, 2018
The developing human connectome project: A minimal processing pipeline for neonatal cortical surface reconstruction.
NeuroImage, 2018
Construction of a neonatal cortical surface atlas using Multimodal Surface Matching in the Developing Human Connectome Project.
NeuroImage, 2018
2017
NeuroImage, 2017
Early development of structural networks and the impact of prematurity on brain connectivity.
NeuroImage, 2017
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
2016
IEEE Trans. Computational Imaging, 2016
An exploration of task based fMRI in neonates using echo-shifting to allow acquisition at longer T<sub>E</sub> without loss of temporal efficiency.
NeuroImage, 2016
2012