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A. David Edwards
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2020 – today
- 2024
- [c40]Irina Grigorescu
, Alena Uus
Deep Learning Multi-channel Structural and Diffusion Tensor Neonatal Image Registration. WBIR 2024: 192-204 - 2022
- [j31]Yassine Taoudi-Benchekroun, Daan Christiaens
Predicting age and clinical risk from the neonatal connectome. NeuroImage 257: 119319 (2022) - [c39]Irina Grigorescu, Alena Uus, Daan Christiaens, Lucilio Cordero-Grande, Jana Hutter
Attention-Driven Multi-channel Deformable Registration of Structural and Microstructural Neonatal Data. PIPPI@MICCAI 2022: 71-81 - [c38]Alena Uus, Mohammad-Usamah Ayub, Abi Gartner
Segmentation of Periventricular White Matter in Neonatal Brain MRI: Analysis of Brain Maturation in Term and Preterm Cohorts. PIPPI@MICCAI 2022: 94-104 - [c37]Simon Dahan, Abdulah Fawaz, Logan Z. J. Williams, Chunhui Yang, Timothy S. Coalson, Matthew F. Glasser, A. David Edwards, Daniel Rueckert, Emma C. Robinson:
Surface Vision Transformers: Attention-Based Modelling applied to Cortical Analysis. MIDL 2022: 282-303 - [c36]Abdulah Fawaz, Logan Z. J. Williams, A. David Edwards
A Deep Generative Model of Neonatal Cortical Surface Development. MIUA 2022: 469-481 - [i4]Simon Dahan, Abdulah Fawaz, Logan Z. J. Williams, Chunhui Yang, Timothy S. Coalson, Matthew F. Glasser, A. David Edwards, Daniel Rueckert, Emma C. Robinson:
Surface Vision Transformers: Attention-Based Modelling applied to Cortical Analysis. CoRR abs/2203.16414 (2022) - [i3]Simon Dahan, Hao Xu, Logan Z. J. Williams, Abdulah Fawaz, Chunhui Yang, Timothy S. Coalson, Michelle C. Williams, David E. Newby, A. David Edwards, Matthew F. Glasser, Alistair A. Young, Daniel Rueckert, Emma C. Robinson:
Surface Vision Transformers: Flexible Attention-Based Modelling of Biomedical Surfaces. CoRR abs/2204.03408 (2022) - [i2]Liu Li, Qiang Ma, Matthew Sinclair, Antonios Makropoulos, Joseph V. Hajnal, A. David Edwards, Bernhard Kainz, Daniel Rueckert, Amir Alansary:
CAS-Net: Conditional Atlas Generation and Brain Segmentation for Fetal MRI. CoRR abs/2205.08239 (2022) - [i1]Abdulah Fawaz, Logan Z. J. Williams, A. David Edwards, Emma C. Robinson:
A Deep Generative Model of Neonatal Cortical Surface Development. CoRR abs/2206.07542 (2022) - 2021
- [j30]Daan Christiaens
Scattered slice SHARD reconstruction for motion correction in multi-shell diffusion MRI. NeuroImage 225: 117437 (2021) - [j29]Ralica Dimitrova, Maximilian Pietsch, Judit Ciarrusta, Sean P. Fitzgibbon
Preterm birth alters the development of cortical microstructure and morphology at term-equivalent age. NeuroImage 243: 118488 (2021) - [c35]Irina Grigorescu, Alena Uus, Daan Christiaens, Lucilio Cordero-Grande
Uncertainty-Aware Deep Learning Based Deformable Registration. UNSURE/PIPPI@MICCAI 2021: 54-63 - [c34]Logan Z. J. Williams, Abdulah Fawaz, Matthew F. Glasser, A. David Edwards
Geometric Deep Learning of the Human Connectome Project Multimodal Cortical Parcellation. MLCN@MICCAI 2021: 103-112 - [c33]Alena Uus, Jacqueline Matthew
Spatio-Temporal Atlas of Normal Fetal Craniofacial Feature Development and CNN-Based Ocular Biometry for Motion-Corrected Fetal MRI. UNSURE/PIPPI@MICCAI 2021: 168-178 - [c32]Liu Li, Matthew Sinclair, Antonios Makropoulos, Joseph V. Hajnal
CAS-Net: Conditional Atlas Generation and Brain Segmentation for Fetal MRI. UNSURE/PIPPI@MICCAI 2021: 221-230 - [c31]Russell Macleod, Serena J. Counsell
Detection of Injury and Automated Triage of Preterm Neonatal MRI Using Patch-Based Gaussian Processes. UNSURE/PIPPI@MICCAI 2021: 231-241 - 2020
- [c30]Irina Grigorescu
Harmonised Segmentation of Neonatal Brain MRI: A Domain Adaptation Approach. ASMUS/PIPPI@MICCAI 2020: 253-263 - [c29]Russell Macleod, Jonathan O'Muircheartaigh, A. David Edwards
Automatic Detection of Neonatal Brain Injury on MRI. ASMUS/PIPPI@MICCAI 2020: 324-333 - [c28]Ahmed E. Fetit, Amir Alansary, Lucilio Cordero-Grande, John Cupitt, Alice B. Davidson, A. David Edwards, Joseph V. Hajnal, Emer J. Hughes, Konstantinos Kamnitsas, Vanessa Kyriakopoulou, Antonios Makropoulos, Prachi A. Patkee, Anthony N. Price, Mary A. Rutherford, Daniel Rueckert:
A deep learning approach to segmentation of the developing cortex in fetal brain MRI with minimal manual labeling. MIDL 2020: 241-261 - [c27]Alena Uus, Maximilian Pietsch, Irina Grigorescu, Daan Christiaens, Jacques-Donald Tournier, Lucilio Cordero-Grande, Jana Hutter
Multi-channel Registration for Diffusion MRI: Longitudinal Analysis for the Neonatal Brain. WBIR 2020: 111-121 - [c26]Irina Grigorescu, Alena Uus, Daan Christiaens, Lucilio Cordero-Grande
Diffusion Tensor Driven Image Registration: A Deep Learning Approach. WBIR 2020: 131-140
2010 – 2019
- 2019
- [j28]Matteo Bastiani
Automated processing pipeline for neonatal diffusion MRI in the developing Human Connectome Project. NeuroImage 185: 750-763 (2019) - [j27]Dafnis Batalle
Different patterns of cortical maturation before and after 38 weeks gestational age demonstrated by diffusion MRI in vivo. NeuroImage 185: 764-775 (2019) - [j26]Maximilian Pietsch, Daan Christiaens
A framework for multi-component analysis of diffusion MRI data over the neonatal period. NeuroImage 186: 321-337 (2019) - [c25]Irina Grigorescu
Investigating Image Registration Impact on Preterm Birth Classification: An Interpretable Deep Learning Approach. SUSI/PIPPI@MICCAI 2019: 104-112 - 2018
- [j25]Jelena Bozek
Construction of a neonatal cortical surface atlas using Multimodal Surface Matching in the Developing Human Connectome Project. NeuroImage 179: 11-29 (2018) - 2017
- [j24]Dafnis Batalle
Early development of structural networks and the impact of prematurity on brain connectivity. NeuroImage 149: 379-392 (2017) - [j23]Diliana Pecheva
A tract-specific approach to assessing white matter in preterm infants. NeuroImage 157: 675-694 (2017) - 2016
- [j22]Gareth Ball
Machine-learning to characterise neonatal functional connectivity in the preterm brain. NeuroImage 124: 267-275 (2016) - [j21]Antonios Makropoulos, Paul Aljabar, Robert Wright, Britta Hüning, Nazakat Merchant
Regional growth and atlasing of the developing human brain. NeuroImage 125: 456-478 (2016) - [j20]Ai Wern Chung, Markus Schirmer, Michelle L. Krishnan, Gareth Ball
Characterising brain network topologies: A dynamic analysis approach using heat kernels. NeuroImage 141: 490-501 (2016) - 2015
- [c24]Veronika A. M. Zimmer
Learning and Combining Image Similarities for Neonatal Brain Population Studies. MLMI 2015: 110-117 - 2014
- [j19]Antonios Makropoulos, Ioannis S. Gousias, Christian Ledig
Automatic Whole Brain MRI Segmentation of the Developing Neonatal Brain. IEEE Trans. Medical Imaging 33(9): 1818-1831 (2014) - 2013
- [c23]Markus Schirmer
Normalisation of Neonatal Brain Network Measures Using Stochastic Approaches. MICCAI (1) 2013: 574-581 - 2012
- [j18]Ahmed Serag
Construction of a consistent high-definition spatio-temporal atlas of the developing brain using adaptive kernel regression. NeuroImage 59(3): 2255-2265 (2012) - [j17]Ioannis S. Gousias, A. David Edwards
Magnetic resonance imaging of the newborn brain: Manual segmentation of labelled atlases in term-born and preterm infants. NeuroImage 62(3): 1499-1509 (2012) - [j16]Tomoki Arichi
Development of BOLD signal hemodynamic responses in the human brain. NeuroImage 63(2): 663-673 (2012) - [j15]Ahmed Serag
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 63(2): 998 (2012) - [j14]Emer J. Hughes, Jacqueline Bond, Patricia Svrckova, Antonios Makropoulos, Gareth Ball
Regional changes in thalamic shape and volume with increasing age. NeuroImage 63(3): 1134-1142 (2012) - 2011
- [j13]Maria Kuklisova-Murgasova
A dynamic 4D probabilistic atlas of the developing brain. NeuroImage 54(4): 2750-2763 (2011) - [j12]Paul Aljabar, Robin Wolz, Latha Srinivasan, Serena J. Counsell
A Combined Manifold Learning Analysis of Shape and Appearance to Characterize Neonatal Brain Development. IEEE Trans. Medical Imaging 30(12): 2072-2086 (2011) - [c22]Fani Deligianni
A Probabilistic Framework to Infer Brain Functional Connectivity from Anatomical Connections. IPMI 2011: 296-307 - [c21]Fani Deligianni
Inference of functional connectivity from direct and indirect structural brain connections. ISBI 2011: 849-852 - [c20]Fani Deligianni
Exploiting hierarchy in structural brain networks. ISBI 2011: 871-874 - [c19]Fani Deligianni, Emma C. Robinson, David J. Sharp, A. David Edwards, Daniel Rueckert, Daniel C. Alexander:
Hierarchy in structural brain networks. MIUA 2011: 29-34 - [c18]Fani Deligianni
Relating Brain Functional Connectivity to Anatomical Connections: Model Selection. MLINI 2011: 178-185 - 2010
- [j11]Tomoki Arichi
Somatosensory cortical activation identified by functional MRI in preterm and term infants. NeuroImage 49(3): 2063-2071 (2010) - [j10]Emma C. Robinson
Identifying population differences in whole-brain structural networks: A machine learning approach. NeuroImage 50(3): 910-919 (2010) - [j9]James P. Boardman
A common neonatal image phenotype predicts adverse neurodevelopmental outcome in children born preterm. NeuroImage 52(2): 409-414 (2010) - [j8]Gareth Ball
An optimised tract-based spatial statistics protocol for neonates: Applications to prematurity and chronic lung disease. NeuroImage 53(1): 94-102 (2010) - [c17]Maria Murgasova
Construction of a dynamic 4D probabilistic atlas for the developing brain. ISBI 2010: 952-955 - [c16]Fani Deligianni
Inference of functional connectivity from structural brain connectivity. ISBI 2010: 1113-1116 - [c15]Emma C. Robinson, Daniel Rueckert
Probabilistic white matter and fiber tract atlas construction. ISBI 2010: 1153-1156 - [c14]Paul Aljabar, Robin Wolz, Latha Srinivasan, Serena J. Counsell
Combining Morphological Information in a Manifold Learning Framework: Application to Neonatal MRI. MICCAI (3) 2010: 1-8
2000 – 2009
- 2009
- [c13]Maria Murgasova
Robust Segmentation of Brain Structures in MRI. ISBI 2009: 17-20 - 2008
- [j7]Paul Aljabar, Kanwal K. Bhatia, Maria Murgasova
Assessment of brain growth in early childhood using deformation-based morphometry. NeuroImage 39(1): 348-358 (2008) - [j6]Ioannis S. Gousias, Daniel Rueckert
Automatic segmentation of brain MRIs of 2-year-olds into 83 regions of interest. NeuroImage 40(2): 672-684 (2008) - [c12]Emma C. Robinson
Multivariate Statistical Analysis of Whole Brain Structural Networks Obtained Using Probabilistic Tractography. MICCAI (1) 2008: 486-493 - 2007
- [j5]Carlos E. Thomaz
A multivariate statistical analysis of the developing human brain in preterm infants. Image Vis. Comput. 25(6): 981-994 (2007) - [j4]Serena J. Counsell
Thalamo-cortical connectivity in children born preterm mapped using probabilistic magnetic resonance tractography. NeuroImage 34(3): 896-904 (2007) - [j3]Mustafa Anjari, Latha Srinivasan, Joanna M. Allsop, Joseph V. Hajnal
Diffusion tensor imaging with tract-based spatial statistics reveals local white matter abnormalities in preterm infants. NeuroImage 35(3): 1021-1027 (2007) - [j2]Hui Xue, Latha Srinivasan, Shuzhou Jiang, Mary A. Rutherford
Automatic segmentation and reconstruction of the cortex from neonatal MRI. NeuroImage 38(3): 461-477 (2007) - [c11]Hui Xue, Latha Srinivasan, Shuzhou Jiang, Mary A. Rutherford
Automatic Cortical Segmentation in the Developing Brain. IPMI 2007: 257-269 - [c10]Hui Xue, Latha Srinivasan, Shuzhou Jiang, Mary A. Rutherford, A. David Edwards, Daniel Rueckert, Joseph V. Hajnal:
Longitudinal Cortical Registration for Developing Neonates. MICCAI (2) 2007: 127-135 - [c9]Kanwal K. Bhatia, Paul Aljabar, James P. Boardman
Groupwise Combined Segmentation and Registration for Atlas Construction. MICCAI (1) 2007: 532-540 - [c8]Paul Aljabar, Kanwal K. Bhatia, Maria Murgasova
Quantifying brain development in early childhood using segmentation and registration. Medical Imaging: Image Processing 2007: 65120O - [c7]Maria Murgasova
Robust segmentation of brain MRI using combination of registration and EM-based methods. SCCG 2007: 107-114 - 2006
- [j1]James P. Boardman
Abnormal deep grey matter development following preterm birth detected using deformation-based morphometry. NeuroImage 32(1): 70-78 (2006) - [c6]Daniel Rueckert, Raghavendra Chandrashekara, Paul Aljabar, Kanwal K. Bhatia, James P. Boardman
Quantification of Growth and Motion Using Non-rigid Registration. CVAMIA 2006: 49-60 - [c5]Paul Aljabar, Kanwal K. Bhatia, Joseph V. Hajnal, James P. Boardman, Latha Srinivasan, Mary A. Rutherford, Dyet Dyet, A. David Edwards, Daniel Rueckert:
Analysis of growth in the developing brain using non-rigid registration. ISBI 2006: 201-204 - [c4]Maria Murgasova
Segmentation of Brain MRI in Young Children. MICCAI (1) 2006: 687-694 - [c3]Carlos E. Thomaz
A whole brain morphometric analysis of changes associated with pre-term birth. Medical Imaging: Image Processing 2006: 61445Y - 2004
- [c2]Kanwal K. Bhatia, Joseph V. Hajnal, Basant K. Puri
Consistent Groupwise Non-Rigid Registration for Atlas Construction. ISBI 2004: 908-911 - 2003
- [c1]James P. Boardman, Kanwal K. Bhatia, Serena J. Counsell
An Evaluation of Deformation-Based Morphometry Applied to the Developing Human Brain and Detection of Volumetric Changes Associated with Preterm Birth. MICCAI (1) 2003: 697-704
Coauthor Index
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