Anthony N Price - Citegraph

Author Info

Name	Affiliation	Papers
ANTHONY N PRICE	Division of Imaging Sciences and Biomedical Engineering, King's College London, London, UK	27
Collaborators	Citations	PageRank
113	253	15.32
Referers	Referees	References
1026	813	301

Search Limit

1001000

Publications (27 rows)

Collaborators (100 rows)

Referers (100 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
Scattered slice SHARD reconstruction for motion correction in multi-shell diffusion MRI	5	0.39	2021
Spatio-Temporal Atlas of Normal Fetal Craniofacial Feature Development and CNN-Based Ocular Biometry for Motion-Corrected Fetal MRI.	0	0.34	2021
Higher Order Spherical Harmonics Reconstruction of Fetal Diffusion MRI With Intensity Correction	0	0.34	2020
The developing Human Connectome Project (dHCP) automated resting-state functional processing framework for newborn infants	3	0.37	2020
On the need for bundle-specific microstructure kernels in diffusion MRI.	2	0.36	2020
Learning Compact Q-Space Representations For Multi-Shell Diffusion-Weighted Mri	0	0.34	2019
Automated processing pipeline for neonatal diffusion MRI in the developing Human Connectome Project.	12	0.50	2019
A framework for multi-component analysis of diffusion MRI data over the neonatal period.	5	0.45	2019
Complex diffusion-weighted image estimation via matrix recovery under general noise models.	16	0.64	2019
Generalising Deep Learning MRI Reconstruction across Different Domains.	0	0.34	2019
Exploiting Motion for Deep Learning Reconstruction of Extremely-Undersampled Dynamic MRI.	2	0.35	2019
k-t NEXT: Dynamic MR Image Reconstruction Exploiting Spatio-Temporal Correlations	1	0.36	2019
Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction.	25	0.66	2019
Multimodal surface matching with higher-order smoothness constraints.	23	0.76	2018
Construction of a neonatal cortical surface atlas using Multimodal Surface Matching in the Developing Human Connectome Project.	8	0.44	2018
A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction.	80	2.42	2018
Bayesian Deep Learning for Accelerated MR Image Reconstruction.	2	0.41	2018
Slice-level diffusion encoding for motion and distortion correction.	3	0.38	2018
Dynamic Field Mapping and Motion Correction Using Interleaved Double Spin-Echo Diffusion MRI.	1	0.35	2017
An exploration of task based fMRI in neonates using echo-shifting to allow acquisition at longer T without loss of temporal efficiency.	0	0.34	2016
Sensitivity Encoding for Aligned Multishot Magnetic Resonance Reconstruction.	0	0.34	2016
Fast Reconstruction of Accelerated Dynamic MRI Using Manifold Kernel Regression.	0	0.34	2015
Application-driven MRI: joint reconstruction and segmentation from undersampled MRI data.	5	0.51	2014
Dictionary learning and time sparsity for dynamic MR data reconstruction.	41	1.85	2014
Hierarchical manifold learning.	8	0.61	2012
Localised manifold learning for cardiac image analysis	2	0.39	2012
Magnetic resonance virtual histology for embryos: 3D atlases for automated high-throughput phenotyping.	9	0.73	2011