A. David Edwards

Orcid: 0000-0003-4801-7066

According to our database1, A. David Edwards authored at least 72 papers between 2003 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2022
Predicting age and clinical risk from the neonatal connectome.
NeuroImage, 2022

CAS-Net: Conditional Atlas Generation and Brain Segmentation for Fetal MRI.
CoRR, 2022

Surface Vision Transformers: Flexible Attention-Based Modelling of Biomedical Surfaces.
CoRR, 2022

A Deep Generative Model of Neonatal Cortical Surface Development.
Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022

Surface Vision Transformers: Attention-Based Modelling applied to Cortical Analysis.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

Segmentation of Periventricular White Matter in Neonatal Brain MRI: Analysis of Brain Maturation in Term and Preterm Cohorts.
Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 2022

Attention-Driven Multi-channel Deformable Registration of Structural and Microstructural Neonatal Data.
Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 2022

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

Geometric Deep Learning of the Human Connectome Project Multimodal Cortical Parcellation.
Proceedings of the Machine Learning in Clinical Neuroimaging - 4th International Workshop, 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

Detection of Injury and Automated Triage of Preterm Neonatal MRI Using Patch-Based Gaussian Processes.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis, 2021

CAS-Net: Conditional Atlas Generation and Brain Segmentation for Fetal MRI.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis, 2021

Uncertainty-Aware Deep Learning Based Deformable Registration.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis, 2021

2020
Multi-channel Registration for Diffusion MRI: Longitudinal Analysis for the Neonatal Brain.
Proceedings of the Biomedical Image Registration - 9th International Workshop, 2020

Diffusion Tensor Driven Image Registration: A Deep Learning Approach.
Proceedings of the Biomedical Image Registration - 9th International Workshop, 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

Automatic Detection of Neonatal Brain Injury on MRI.
Proceedings of the Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis, 2020

Harmonised Segmentation of Neonatal Brain MRI: A Domain Adaptation Approach.
Proceedings of the Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis, 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

Investigating Image Registration Impact on Preterm Birth Classification: An Interpretable Deep Learning Approach.
Proceedings of the Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis, 2019

2018
Construction of a neonatal cortical surface atlas using Multimodal Surface Matching in the Developing Human Connectome Project.
NeuroImage, 2018

2017
A tract-specific approach to assessing white matter in preterm infants.
NeuroImage, 2017

Early development of structural networks and the impact of prematurity on brain connectivity.
NeuroImage, 2017

2016
Regional growth and atlasing of the developing human brain.
NeuroImage, 2016

Characterising brain network topologies: A dynamic analysis approach using heat kernels.
NeuroImage, 2016

Machine-learning to characterise neonatal functional connectivity in the preterm brain.
NeuroImage, 2016

2015
Learning and Combining Image Similarities for Neonatal Brain Population Studies.
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015

2014
Automatic Whole Brain MRI Segmentation of the Developing Neonatal Brain.
IEEE Trans. Medical Imaging, 2014

2013
Normalisation of Neonatal Brain Network Measures Using Stochastic Approaches.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

2012
Erratum to Construction of a consistent high-definition spatio-temporal atlas of the developing brain using adaptive kernel regression [NeuroImage 59/3(2012) 2255-2265].
NeuroImage, 2012

Construction of a consistent high-definition spatio-temporal atlas of the developing brain using adaptive kernel regression.
NeuroImage, 2012

Regional changes in thalamic shape and volume with increasing age.
NeuroImage, 2012

Magnetic resonance imaging of the newborn brain: Manual segmentation of labelled atlases in term-born and preterm infants.
NeuroImage, 2012

Development of BOLD signal hemodynamic responses in the human brain.
NeuroImage, 2012

2011
A Combined Manifold Learning Analysis of Shape and Appearance to Characterize Neonatal Brain Development.
IEEE Trans. Medical Imaging, 2011

A dynamic 4D probabilistic atlas of the developing brain.
NeuroImage, 2011

Relating Brain Functional Connectivity to Anatomical Connections: Model Selection.
Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2011

Hierarchy in structural brain networks.
Proceedings of the Medical Image Understanding and Analysis, 2011

Exploiting hierarchy in structural brain networks.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Inference of functional connectivity from direct and indirect structural brain connections.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

A Probabilistic Framework to Infer Brain Functional Connectivity from Anatomical Connections.
Proceedings of the Information Processing in Medical Imaging, 2011

2010
Identifying population differences in whole-brain structural networks: A machine learning approach.
NeuroImage, 2010

A common neonatal image phenotype predicts adverse neurodevelopmental outcome in children born preterm.
NeuroImage, 2010

An optimised tract-based spatial statistics protocol for neonates: Applications to prematurity and chronic lung disease.
NeuroImage, 2010

Somatosensory cortical activation identified by functional MRI in preterm and term infants.
NeuroImage, 2010

Combining Morphological Information in a Manifold Learning Framework: Application to Neonatal MRI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Probabilistic white matter and fiber tract atlas construction.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

Construction of a dynamic 4D probabilistic atlas for the developing brain.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

Inference of functional connectivity from structural brain connectivity.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

2009
Robust Segmentation of Brain Structures in MRI.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

2008
Automatic segmentation of brain MRIs of 2-year-olds into 83 regions of interest.
NeuroImage, 2008

Assessment of brain growth in early childhood using deformation-based morphometry.
NeuroImage, 2008

Multivariate Statistical Analysis of Whole Brain Structural Networks Obtained Using Probabilistic Tractography.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

2007
Automatic segmentation and reconstruction of the cortex from neonatal MRI.
NeuroImage, 2007

Thalamo-cortical connectivity in children born preterm mapped using probabilistic magnetic resonance tractography.
NeuroImage, 2007

Diffusion tensor imaging with tract-based spatial statistics reveals local white matter abnormalities in preterm infants.
NeuroImage, 2007

A multivariate statistical analysis of the developing human brain in preterm infants.
Image Vis. Comput., 2007

Robust segmentation of brain MRI using combination of registration and EM-based methods.
Proceedings of the 23rd Spring Conference on Computer Graphics, 2007

Quantifying brain development in early childhood using segmentation and registration.
Proceedings of the Medical Imaging 2007: Image Processing, 2007

Longitudinal Cortical Registration for Developing Neonates.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007

Groupwise Combined Segmentation and Registration for Atlas Construction.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007

Automatic Cortical Segmentation in the Developing Brain.
Proceedings of the Information Processing in Medical Imaging, 2007

2006
Abnormal deep grey matter development following preterm birth detected using deformation-based morphometry.
NeuroImage, 2006

A whole brain morphometric analysis of changes associated with pre-term birth.
Proceedings of the Medical Imaging 2006: Image Processing, 2006

Segmentation of Brain MRI in Young Children.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006

Analysis of growth in the developing brain using non-rigid registration.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

Quantification of Growth and Motion Using Non-rigid Registration.
Proceedings of the Computer Vision Approaches to Medical Image Analysis, 2006

2004
Consistent Groupwise Non-Rigid Registration for Atlas Construction.
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004

2003
An Evaluation of Deformation-Based Morphometry Applied to the Developing Human Brain and Detection of Volumetric Changes Associated with Preterm Birth.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2003


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