Joseph V. Hajnal

According to our database1, Joseph V. Hajnal authored at least 201 papers between 1999 and 2024.

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

Timeline

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Bibliography

2024
Craniofacial phenotyping with fetal MRI: a feasibility study of 3D visualisation, segmentation, surface-rendered and physical models.
BMC Medical Imaging, December, 2024

Whole-examination AI estimation of fetal biometrics from 20-week ultrasound scans.
CoRR, 2024

2023
SAPM: Self-Adaptive Parallel Manipulator With Pose and Force Adjustment for Robotic Ultrasonography.
IEEE Trans. Ind. Electron., October, 2023

Fast fetal head compounding from multi-view 3D ultrasound.
Medical Image Anal., October, 2023

Fetal MRI by Robust Deep Generative Prior Reconstruction and Diffeomorphic Registration.
IEEE Trans. Medical Imaging, March, 2023

A Novel Ultrasound Robot With Force/Torque Measurement and Control for Safe and Efficient Scanning.
IEEE Trans. Instrum. Meas., 2023

Placenta segmentation in ultrasound imaging: Addressing sources of uncertainty and limited field-of-view.
Medical Image Anal., 2023

Combined Quantitative T2* Map and Structural T2-Weighted Tissue-Specific Analysis for Fetal Brain MRI: Pilot Automated Pipeline.
Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 2023

A Deep Learning Approach for Segmenting the Subplate and Proliferative Zones in Fetal Brain MRI.
Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 2023

The Challenge of Fetal Cardiac MRI Reconstruction Using Deep Learning.
Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 2023

An Automated Pipeline for Quantitative T2* Fetal Body MRI and Segmentation at Low Field.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Conditional Temporal Attention Networks for Neonatal Cortical Surface Reconstruction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Robust Segmentation via Topology Violation Detection and Feature Synthesis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022
PRETUS: A plug-in based platform for real-time ultrasound imaging research.
SoftwareX, 2022

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

Automated 3D reconstruction of the fetal thorax in the standard atlas space from motion-corrupted MRI stacks for 21-36 weeks GA range.
Medical Image Anal., 2022

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

Fetal Cortex Segmentation with Topology and Thickness Loss Constraints.
Proceedings of the Ethical and Philosophical Issues in Medical Imaging, Multimodal Learning and Fusion Across Scales for Clinical Decision Support, and Topological Data Analysis for Biomedical Imaging, 2022

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

A Fast Anatomical and Quantitative MRI Fetal Exam at Low Field.
Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 2022

2021
A Constant-Force End-Effector With Online Force Adjustment for Robotic Ultrasonography.
IEEE Robotics Autom. Lett., 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

Data-Driven multi-Contrast spectral microstructure imaging with InSpect: INtegrated SPECTral component estimation and mapping.
Medical Image Anal., 2021

APPLAUSE: Automatic Prediction of PLAcental health via U-net Segmentation and statistical Evaluation.
Medical Image Anal., 2021

dStripe: Slice artefact correction in diffusion MRI via constrained neural network.
Medical Image Anal., 2021

Fetal MRI by robust deep generative prior reconstruction and diffeomorphic registration: application to gestational age prediction.
CoRR, 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

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
Deformable Slice-to-Volume Registration for Motion Correction of Fetal Body and Placenta MRI.
IEEE Trans. Medical Imaging, 2020

Higher Order Spherical Harmonics Reconstruction of Fetal Diffusion MRI With Intensity Correction.
IEEE Trans. Medical Imaging, 2020

On the need for bundle-specific microstructure kernels in diffusion MRI.
NeuroImage, 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

Deep Generative Models to Simulate 2D Patient-Specific Ultrasound Images in Real Time.
Proceedings of the Medical Image Understanding and Analysis - 24th Annual Conference, 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

A Multi-task Approach Using Positional Information for Ultrasound Placenta Segmentation.
Proceedings of the Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis, 2020

Deformable Slice-to-Volume Registration for Reconstruction of Quantitative T2* Placental and Fetal MRI.
Proceedings of the Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis, 2020

Data-Driven Multi-contrast Spectral Microstructure Imaging with InSpect.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 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
Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction.
IEEE Trans. Medical Imaging, 2019

Learning Compact ${q}$ -Space Representations for Multi-Shell Diffusion-Weighted MRI.
IEEE Trans. Medical Imaging, 2019

Inherent and unpredictable bias in multi-component DESPOT myelin water fraction estimation.
NeuroImage, 2019

A framework for multi-component analysis of diffusion MRI data over the neonatal period.
NeuroImage, 2019

Complex diffusion-weighted image estimation via matrix recovery under general noise models.
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

Data consistency networks for (calibration-less) accelerated parallel MR image reconstruction.
CoRR, 2019

dAUTOMAP: decomposing AUTOMAP to achieve scalability and enhance performance.
CoRR, 2019

Generalising Deep Learning MRI Reconstruction across Different Domains.
CoRR, 2019


Towards Whole Placenta Segmentation at Late Gestation Using Multi-view Ultrasound Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Self-supervised Recurrent Neural Network for 4D Abdominal and In-utero MR Imaging.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2019

Complete Fetal Head Compounding from Multi-view 3D Ultrasound.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Exploiting Motion for Deep Learning Reconstruction of Extremely-Undersampled Dynamic MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

k-t NEXT: Dynamic MR Image Reconstruction Exploiting Spatio-Temporal Correlations.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 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

InSpect: INtegrated SPECTral Component Estimation and Mapping for Multi-contrast Microstructural MRI.
Proceedings of the Information Processing in Medical Imaging, 2019

2018
A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction.
IEEE Trans. Medical Imaging, 2018

Distortion Correction in Fetal EPI Using Non-Rigid Registration With a Laplacian Constraint.
IEEE Trans. Medical Imaging, 2018

3-D Reconstruction in Canonical Co-Ordinate Space From Arbitrarily Oriented 2-D Images.
IEEE Trans. Medical Imaging, 2018

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

Slice-level diffusion encoding for motion and distortion correction.
Medical Image Anal., 2018

LSTM Spatial Co-transformer Networks for Registration of 3D Fetal US and MR Brain Images.
Proceedings of the Data Driven Treatment Response Assessment - and - Preterm, Perinatal, and Paediatric Image Analysis, 2018

Cardiac MR Segmentation from Undersampled k-space Using Deep Latent Representation Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Bayesian Deep Learning for Accelerated MR Image Reconstruction.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2018

Computing CNN Loss and Gradients for Pose Estimation with Riemannian Geometry.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Human-level Performance On Automatic Head Biometrics In Fetal Ultrasound Using Fully Convolutional Neural Networks.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017
Placenta Maps: In Utero Placental Health Assessment of the Human Fetus.
IEEE Trans. Vis. Comput. Graph., 2017

DeepCut: Object Segmentation From Bounding Box Annotations Using Convolutional Neural Networks.
IEEE Trans. Medical Imaging, 2017

PVR: Patch-to-Volume Reconstruction for Large Area Motion Correction of Fetal MRI.
IEEE Trans. Medical Imaging, 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

3D Reconstruction in Canonical Co-ordinate Space from Arbitrarily Oriented 2D Images.
CoRR, 2017

Context-Sensitive Super-Resolution for Fast Fetal Magnetic Resonance Imaging.
Proceedings of the Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment, 2017

Dynamic Field Mapping and Motion Correction Using Interleaved Double Spin-Echo Diffusion MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Predicting Slice-to-Volume Transformation in Presence of Arbitrary Subject Motion.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

A deformable model for the reconstruction of the neonatal cortex.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

A Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction.
Proceedings of the Information Processing in Medical Imaging, 2017

2016
Sensitivity Encoding for Aligned Multishot Magnetic Resonance Reconstruction.
IEEE Trans. Computational Imaging, 2016

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

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

High-Performance Motion Correction of Fetal MRI.
Proceedings of the 4th EuroVis Workshop on Reproducibility, 2016

Fast Fully Automatic Segmentation of the Human Placenta from Motion Corrupted MRI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Regression analysis for assessment of myelination status in preterm brains with magnetic resonance imaging.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Distortion correction in fetal EPI using non-rigid registration with Laplacian constraint.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015
Fast Volume Reconstruction From Motion Corrupted Stacks of 2D Slices.
IEEE Trans. Medical Imaging, 2015

Construction of a fetal spatio-temporal cortical surface atlas from in utero MRI: Application of spectral surface matching.
NeuroImage, 2015

Discriminative dictionary learning for abdominal multi-organ segmentation.
Medical Image Anal., 2015

Machine learning for the automatic localisation of foetal body parts in cine-MRI scans.
Proceedings of the Medical Imaging 2015: Image Processing, 2015

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

Automated Localization of Fetal Organs in MRI Using Random Forests with Steerable Features.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

Flexible Reconstruction and Correction of Unpredictable Motion from Stacks of 2D Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Fast Reconstruction of Accelerated Dynamic MRI Using Manifold Kernel Regression.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

Adaptive scan strategies for fetal MRI imaging using slice to volume techniques.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Automatic Brain Localization in Fetal MRI Using Superpixel Graphs.
Proceedings of the Machine Learning Meets Medical Imaging - First International Workshop, 2015

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

Dictionary Learning and Time Sparsity for Dynamic MR Data Reconstruction.
IEEE Trans. Medical Imaging, 2014

Hierarchical Manifold Learning for Regional Image Analysis.
IEEE Trans. Medical Imaging, 2014

Automatic quantification of normal cortical folding patterns from fetal brain MRI.
NeuroImage, 2014

Automated fetal brain segmentation from 2D MRI slices for motion correction.
NeuroImage, 2014

Resting State fMRI in the moving fetus: A robust framework for motion, bias field and spin history correction.
NeuroImage, 2014

Multiple instance learning for classification of dementia in brain MRI.
Medical Image Anal., 2014

Construction of a 4D Brain Atlas and Growth Model Using Diffeomorphic Registration.
Proceedings of the Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data, 2014

Graph-Based Label Propagation in Fetal Brain MR Images.
Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014

Motion Corrected 3D Reconstruction of the Fetal Thorax from Prenatal MRI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Application-Driven MRI: Joint Reconstruction and Segmentation from Undersampled MRI Data.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Fast fully automatic brain detection in fetal MRI using dense rotation invariant image descriptors.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Super-resolution reconstruction of cardiac MRI using coupled dictionary learning.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

2013
Segmentation of MR images via discriminative dictionary learning and sparse coding: Application to hippocampus labeling.
NeuroImage, 2013

Registration of 3D fetal neurosonography and MRI.
Medical Image Anal., 2013

Multiple Instance Learning for Classification of Dementia in Brain MRI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

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

Localisation of the Brain in Fetal MRI Using Bundled SIFT Features.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

3D cardiac cine reconstruction from free-breathing 2D real-time image acquisitions using iterative motion correction.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 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

Identification and characterisation of midbrain nuclei using optimised functional magnetic resonance imaging.
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

Nonlinear dimensionality reduction combining MR imaging with non-imaging information.
Medical Image Anal., 2012

Reconstruction of fetal brain MRI with intensity matching and complete outlier removal.
Medical Image Anal., 2012

Localised manifold learning for cardiac image analysis.
Proceedings of the Medical Imaging 2012: Image Processing, 2012

Unsupervised Learning of Shape Complexity: Application to Brain Development.
Proceedings of the Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data, 2012

Dictionary Learning and Time Sparsity in Dynamic MRI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Hierarchical Manifold Learning.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

LISA: Longitudinal image registration via spatio-temporal atlases.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Towards 3D registration of fetal brain MRI and ultrasound.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

4D Cardiac Volume Reconstruction from Free-Breathing 2D Real-Time Image Acquisitions using Iterative Motion Correction.
Proceedings of the 2012 Imperial College Computing Student Workshop, 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

Automatic morphometry in Alzheimer's disease and mild cognitive impairment.
NeuroImage, 2011

Manifold-based classification incorporating subject metadata.
Proceedings of the Medical Image Understanding and Analysis, 2011

A Four-dimensional Atlas of Neonatal Brain MRI.
Proceedings of the Medical Image Understanding and Analysis, 2011

Manifold learning combining imaging with non-imaging information.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Construction of a 4D atlas of the developing brain using non-rigid registration.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Tracking developmental changes in subcortical structures of the preterm brain using multi-modal MRI.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

A repository of MR morphometry data in Alzheimer's disease and mild cognitive impairment.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

2010
Measurement of hippocampal atrophy using 4D graph-cut segmentation: Application to ADNI.
NeuroImage, 2010

LEAP: Learning embeddings for atlas propagation.
NeuroImage, 2010

A robust method to estimate the intracranial volume across MRI field strengths (1.5T and 3T).
NeuroImage, 2010

Improving intersubject image registration using tissue-class information benefits robustness and accuracy of multi-atlas based anatomical segmentation.
NeuroImage, 2010

Manifold Learning for Biomarker Discovery in MR Imaging.
Proceedings of the Machine Learning in Medical Imaging, First International Workshop, 2010

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

Measuring atrophy by simultaneous segmentation of serial MR images using 4-D graph-cuts.
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

Automatic volumetry can reveal visually undetected disease features on brain MR images in temporal lobe epilepsy.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

2009
Analysis of serial magnetic resonance images of mouse brains using image registration.
NeuroImage, 2009

Multi-atlas based segmentation of brain images: Atlas selection and its effect on accuracy.
NeuroImage, 2009

Automatic segmentation of brain MRIs and mapping neuroanatomy across the human lifespan.
Proceedings of the Medical Imaging 2009: Image Processing, 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

The Mirror Method of Assessing Segmentation Quality in Atlas Label Propagation.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

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

Automatic volumetry on MR brain images can support diagnostic decision making.
BMC Medical Imaging, 2008

Evaluation of Rigid and Non-rigid Motion Compensation of Cardiac Perfusion MRI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

Deformation based morphmetry and atlas based label segmentation: Application to serial mouse brain images.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

2007
MRI of Moving Subjects Using Multislice Snapshot Images With Volume Reconstruction (SVR): Application to Fetal, Neonatal, and Adult Brain Studies.
IEEE Trans. Medical Imaging, 2007

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

Automatic detection and quantification of hippocampal atrophy on MRI in temporal lobe epilepsy: A proof-of-principle study.
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

Motion Estimation Applied to Reconstruct Undersampled Dynamic MRI.
Proceedings of the Advances in Image and Video Technology, Second Pacific Rim Symposium, 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

In-utero Three Dimension High Resolution Fetal Brain Diffusion Tensor Imaging.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007

Similarity Metrics for Groupwise Non-rigid Registration.
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

Classifier Selection Strategies for Label Fusion Using Large Atlas Databases.
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
Automatic Quantification of Changes in Bone in Serial MR Images of Joints.
IEEE Trans. Medical Imaging, 2006

The effect of preterm birth on neonatal cerebral vasculature studied with magnetic resonance angiography at 3 Tesla.
NeuroImage, 2006

Automatic anatomical brain MRI segmentation combining label propagation and decision fusion.
NeuroImage, 2006

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

Deformation Based Morphometry Analysis of Serial Magnetic Resonance Images of Mouse Brains.
Proceedings of the Biomedical Image Registration, Third International Workshop, 2006

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

Diffeomorphic Registration Using B-Splines.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006

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

Multiclassifier Fusion in Human Brain MR Segmentation: Modelling Convergence.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006

Automatic extraction and matching of neonatal cerebral vasculature.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

A novel approach to accurate 3D high resolution and high SNR fetal brain imaging.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 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

The Challenges of Developing a Collaborative Data and Compute Grid for Neurosciences.
Proceedings of the 19th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2006), 2006

2005
A comparison of the tissue classification and the segmentation propagation techniques in MRI brain image segmentation.
Proceedings of the Medical Imaging 2005: Image Processing, 2005

Propagating labels of the human brain based on non-rigid MR image registration: an evaluation.
Proceedings of the Medical Imaging 2005: Image Processing, 2005

Interpolation Artefacts in Non-rigid Registration.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005

NeuroGrid: Using Grid Technology to Advance Neuroscience.
Proceedings of the 18th IEEE Symposium on Computer-Based Medical Systems (CBMS 2005), 2005

2004
Spatial transformation of motion and deformation fields using nonrigid registration.
IEEE Trans. Medical Imaging, 2004

Using a Maximum Uncertainty LDA-Based Approach to Classify and Analyse MR Brain Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004, 2004

Multiple Coils for Reduction of Flow Artefacts in MR Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004, 2004

Analysis of Serial MR Images of Joints.
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 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

2002
A Dynamic Brain Atlas.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2002

1999
Non-linear Registration with the Variable Viscosity Fluid Algorithm.
Proceedings of the Information Processing in Medical Imaging, 1999


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