Anthony N. Price

Orcid: 0000-0002-6907-7554

According to our database1, Anthony N. Price authored at least 43 papers between 2009 and 2024.

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

Timeline

Legend:

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Bibliography

2024
CINA: Conditional Implicit Neural Atlas for Spatio-Temporal Representation of Fetal Brains.
CoRR, 2024

2023
Quantitative T2 Relaxometry in Fetal Brain: Validation Using Modified FaBiaN Fetal Brain MRI Simulator.
Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 2023

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

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

The developing Human Connectome Project (dHCP) automated resting-state functional processing framework for newborn infants.
NeuroImage, 2020

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

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

Automated processing pipeline for neonatal diffusion MRI in the developing Human Connectome Project.
NeuroImage, 2019

Generalising Deep Learning MRI Reconstruction across Different Domains.
CoRR, 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

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

Multimodal surface matching with higher-order smoothness constraints.
NeuroImage, 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

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

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

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

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

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

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

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

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

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

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

2011
Structural correlates of active-staining following magnetic resonance microscopy in the mouse brain.
NeuroImage, 2011

Magnetic resonance virtual histology for embryos: 3D atlases for automated high-throughput phenotyping.
NeuroImage, 2011

2009
In vivo magnetic resonance imaging of endogenous neuroblasts labelled with a ferumoxide-polycation complex.
NeuroImage, 2009

Two-Compartment Models of the Diffusion MR Signal in Brain White Matter.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009


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