Anthony N. Price

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 24

Top Topics

Convolutional Neural Networks

Distortion Correction

Image Reconstruction

Magnetic Resonance

Top Venues

IEEE Trans. Medical Imaging

Publications

Maik Dannecker, Vanessa Kyriakopoulou, Lucilio Cordero-Grande, Anthony N. Price, Joseph V. Hajnal, Daniel Rueckert
CINA: Conditional Implicit Neural Atlas for Spatio-Temporal Representation of Fetal Brains. CoRR (2024)
Yassine Taoudi-Benchekroun, Daan Christiaens, Irina Grigorescu, Oliver Gale-Grant, Andreas Schuh, Maximilian Pietsch, Andrew Chew, Nicholas Harper, Shona Falconer, Tanya Poppe, Emer J. Hughes, Jana Hutter, Anthony N. Price, Jacques-Donald Tournier, Lucilio Cordero-Grande, Serena J. Counsell, Daniel Rueckert, Tomoki Arichi, Joseph V. Hajnal, A. David Edwards, Maria Deprez, Dafnis Batalle
Predicting age and clinical risk from the neonatal connectome. NeuroImage 257 (2022)
Daan Christiaens, Lucilio Cordero-Grande, Maximilian Pietsch, Jana Hutter, Anthony N. Price, Emer J. Hughes, Katy Vecchiato, Maria Deprez, A. David Edwards, Joseph V. Hajnal, Jacques-Donald Tournier
Scattered slice SHARD reconstruction for motion correction in multi-shell diffusion MRI. NeuroImage 225 (2021)
Ralica Dimitrova, Maximilian Pietsch, Judit Ciarrusta, Sean P. Fitzgibbon, Logan Z. J. Williams, Daan Christiaens, Lucilio Cordero-Grande, Dafnis Batalle, Antonios Makropoulos, Andreas Schuh, Anthony N. Price, Jana Hutter, Rui Pedro A. G. Teixeira, Emer J. Hughes, Andrew Chew, Shona Falconer, Olivia Carney, Alexia Egloff, Jacques-Donald Tournier, Grainne M. McAlonan, Mary A. Rutherford, Serena J. Counsell, Emma C. Robinson, Joseph V. Hajnal, Daniel Rueckert, A. David Edwards, Jonathan O'Muircheartaigh
Preterm birth alters the development of cortical microstructure and morphology at term-equivalent age. NeuroImage 243 (2021)
Maria Yanez Lopez, Anthony N. Price, Nicolaas A. J. Puts, Emer J. Hughes, Richard A. E. Edden, Grainne M. McAlonan, Tomoki Arichi, Enrico De Vita
Simultaneous quantification of GABA, Glx and GSH in the neonatal human brain using magnetic resonance spectroscopy. NeuroImage 233 (2021)
Daan Christiaens, Jelle Veraart, Lucilio Cordero-Grande, Anthony N. Price, Jana Hutter, Joseph V. Hajnal, Jacques-Donald Tournier
On the need for bundle-specific microstructure kernels in diffusion MRI. NeuroImage 208 (2020)
Sean P. Fitzgibbon, Samuel J. Harrison, Mark Jenkinson, Luke Baxter, Emma C. Robinson, Matteo Bastiani, Jelena Bozek, Vyacheslav Karolis, Lucilio Cordero-Grande, Anthony N. Price, Emer J. Hughes, Antonios Makropoulos, Jonathan Passerat-Palmbach, Andreas Schuh, Jianliang Gao, Seyedeh-Rezvan Farahibozorg, Jonathan O'Muircheartaigh, Judit Ciarrusta, Jesper Andersson
The developing Human Connectome Project (dHCP) automated resting-state functional processing framework for newborn infants. NeuroImage 223 (2020)
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)
Lucilio Cordero-Grande, Daan Christiaens, Jana Hutter, Anthony N. Price, Joseph V. Hajnal
Complex diffusion-weighted image estimation via matrix recovery under general noise models. NeuroImage 200 (2019)
Cheng Ouyang, Jo Schlemper, Carlo Biffi, Gavin Seegoolam, Jose Caballero, Anthony N. Price, Joseph V. Hajnal, Daniel Rueckert
Generalising Deep Learning MRI Reconstruction across Different Domains. CoRR (2019)
Maximilian Pietsch, Daan Christiaens, Jana Hutter, Lucilio Cordero-Grande, Anthony N. Price, Emer J. Hughes, A. David Edwards, Joseph V. Hajnal, Serena J. Counsell, Jacques-Donald Tournier
A framework for multi-component analysis of diffusion MRI data over the neonatal period. NeuroImage 186 (2019)
Chen Qin, Jo Schlemper, Jose Caballero, Anthony N. Price, Joseph V. Hajnal, Daniel Rueckert
Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction. IEEE Trans. Medical Imaging 38 (1) (2019)
Daan Christiaens, Lucilio Cordero-Grande, Jana Hutter, Anthony N. Price, Maria Deprez, Joseph V. Hajnal, Jacques-Donald Tournier
Learning Compact ${q}$ -Space Representations for Multi-Shell Diffusion-Weighted MRI. IEEE Trans. Medical Imaging 38 (3) (2019)
Matteo Bastiani, Jesper L. R. Andersson, Lucilio Cordero-Grande, Maria Murgasova, Jana Hutter, Anthony N. Price, Antonios Makropoulos, Sean P. Fitzgibbon, Emer J. Hughes, Daniel Rueckert, Suresh Victor, Mary A. Rutherford, A. David Edwards, Stephen M. Smith, Jacques-Donald Tournier, Joseph V. Hajnal, Saâd Jbabdi, Stamatios N. Sotiropoulos
Automated processing pipeline for neonatal diffusion MRI in the developing Human Connectome Project. NeuroImage 185 (2019)
Jelena Bozek, Antonios Makropoulos, Andreas Schuh, Sean P. Fitzgibbon, Robert Wright, Matthew F. Glasser, Timothy S. Coalson, Jonathan O'Muircheartaigh, Jana Hutter, Anthony N. Price, Lucilio Cordero-Grande, Rui Pedro A. G. Teixeira, Emer J. Hughes, Nora Tusor, Kelly Pegoretti Baruteau, Mary A. Rutherford, A. David Edwards, Joseph V. Hajnal, Emma C. Robinson
Construction of a neonatal cortical surface atlas using Multimodal Surface Matching in the Developing Human Connectome Project. NeuroImage 179 (2018)
Jo Schlemper, Daniel Coelho de Castro, Wenjia Bai, Chen Qin, Ozan Oktay, Jinming Duan, Anthony N. Price, Joseph V. Hajnal, Daniel Rueckert
Bayesian Deep Learning for Accelerated MR Image Reconstruction. MLMIR@MICCAI (2018)
Jana Hutter, Daan Christiaens, Torben Schneider, Lucilio Cordero-Grande, Paddy Slator, Maria Deprez, Anthony N. Price, Jacques-Donald Tournier, Mary A. Rutherford, Joseph V. Hajnal
Slice-level diffusion encoding for motion and distortion correction. Medical Image Anal. 48 (2018)
Jo Schlemper, Jose Caballero, Joseph V. Hajnal, Anthony N. Price, Daniel Rueckert
A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction. IEEE Trans. Medical Imaging 37 (2) (2018)
Jo Schlemper, Jose Caballero, Joseph V. Hajnal, Anthony N. Price, Daniel Rueckert
A Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction. CoRR (2017)
Andreas Schuh, Antonios Makropoulos, Robert Wright, Emma C. Robinson, Nora Tusor, Johannes Steinweg, Emer J. Hughes, Lucilio Cordero-Grande, Anthony N. Price, Jana Hutter, Joseph V. Hajnal, Daniel Rueckert
A deformable model for the reconstruction of the neonatal cortex. ISBI (2017)
Jo Schlemper, Jose Caballero, Joseph V. Hajnal, Anthony N. Price, Daniel Rueckert
A Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction. IPMI (2017)
Jo Schlemper, Jose Caballero, Joseph V. Hajnal, Anthony N. Price, Daniel Rueckert
A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction. CoRR (2017)
Giulio Ferrazzi, Rita Gouveia Nunes, Tomoki Arichi, Andreia S. Gaspar, Giovanni Barone, Alessandro Allievi, Serge Vasylechko, Maryam Abaei, Emer J. Hughes, Daniel Rueckert, Anthony N. Price, Joseph V. Hajnal
without loss of temporal efficiency. NeuroImage 127 (2016)
Lucilio Cordero-Grande, Rui Pedro A. G. Teixeira, Emer J. Hughes, Jana Hutter, Anthony N. Price, Joseph V. Hajnal
Sensitivity Encoding for Aligned Multishot Magnetic Resonance Reconstruction. IEEE Trans. Computational Imaging 2 (3) (2016)
Kanwal K. Bhatia, Jose Caballero, Anthony N. Price, Ying Sun, Joseph V. Hajnal, Daniel Rueckert
Fast Reconstruction of Accelerated Dynamic MRI Using Manifold Kernel Regression. MICCAI (3) (2015)
Kanwal K. Bhatia, Anthony N. Price, Wenzhe Shi, Joseph V. Hajnal, Daniel Rueckert
Super-resolution reconstruction of cardiac MRI using coupled dictionary learning. ISBI (2014)
Jose Caballero, Wenjia Bai, Anthony N. Price, Daniel Rueckert, Joseph V. Hajnal
Application-Driven MRI: Joint Reconstruction and Segmentation from Undersampled MRI Data. MICCAI (1) (2014)
Jose Caballero, Anthony N. Price, Daniel Rueckert, Joseph V. Hajnal
Dictionary Learning and Time Sparsity for Dynamic MR Data Reconstruction. IEEE Trans. Medical Imaging 33 (4) (2014)
Kanwal K. Bhatia, Anil Rao, Anthony N. Price, Robin Wolz, Joseph V. Hajnal, Daniel Rueckert
Hierarchical Manifold Learning for Regional Image Analysis. IEEE Trans. Medical Imaging 33 (2) (2014)
Martin Jantsch, Daniel Rueckert, Anthony N. Price, Joseph V. Hajnal
3D cardiac cine reconstruction from free-breathing 2D real-time image acquisitions using iterative motion correction. ISBI (2013)
Kanwal K. Bhatia, Anthony N. Price, Joseph V. Hajnal, Daniel Rueckert
Localised manifold learning for cardiac image analysis. Medical Imaging: Image Processing (2012)
Kanwal K. Bhatia, Anil Rao, Anthony N. Price, Robin Wolz, Joseph V. Hajnal, Daniel Rueckert
Hierarchical Manifold Learning. MICCAI (1) (2012)