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Anthony N. Price
Anthony Price
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2020 – today
- 2024
- [c19]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. MICCAI (9) 2024: 181-191 - [i6]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 abs/2403.08550 (2024) - 2023
- [c18]Suryava Bhattacharya
, Anthony Price, Alena Uus, Helena S. Sousa, Massimo Marenzana, Kathleen Colford, Peter Murkin, Maggie Lee, Lucilio Cordero-Grande, Rui Pedro A. G. Teixeira, Shaihan J. Malik, Maria Deprez:
Quantitative T2 Relaxometry in Fetal Brain: Validation Using Modified FaBiaN Fetal Brain MRI Simulator. PIPPI@MICCAI 2023: 39-49 - 2022
- [j23]Yassine Taoudi-Benchekroun, Daan Christiaens
Predicting age and clinical risk from the neonatal connectome. NeuroImage 257: 119319 (2022) - [c17]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 - [c16]Liu Li, Qiang Ma, Zeju Li, Cheng Ouyang, Weitong Zhang, Anthony Price, Vanessa Kyriakopoulou
Fetal Cortex Segmentation with Topology and Thickness Loss Constraints. EPIMI/ML-CDS@MICCAI 2022: 123-133 - 2021
- [j22]Daan Christiaens
Scattered slice SHARD reconstruction for motion correction in multi-shell diffusion MRI. NeuroImage 225: 117437 (2021) - [j21]Maria Yanez Lopez
Simultaneous quantification of GABA, Glx and GSH in the neonatal human brain using magnetic resonance spectroscopy. NeuroImage 233: 117930 (2021) - [j20]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) - [c15]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 - 2020
- [j19]Daan Christiaens
On the need for bundle-specific microstructure kernels in diffusion MRI. NeuroImage 208: 116460 (2020) - [j18]Sean P. Fitzgibbon
The developing Human Connectome Project (dHCP) automated resting-state functional processing framework for newborn infants. NeuroImage 223: 117303 (2020) - [j17]Maria Deprez
Higher Order Spherical Harmonics Reconstruction of Fetal Diffusion MRI With Intensity Correction. IEEE Trans. Medical Imaging 39(4): 1104-1113 (2020) - [c14]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
2010 – 2019
- 2019
- [j16]Matteo Bastiani
Automated processing pipeline for neonatal diffusion MRI in the developing Human Connectome Project. NeuroImage 185: 750-763 (2019) - [j15]Maximilian Pietsch, Daan Christiaens
A framework for multi-component analysis of diffusion MRI data over the neonatal period. NeuroImage 186: 321-337 (2019) - [j14]Lucilio Cordero-Grande
Complex diffusion-weighted image estimation via matrix recovery under general noise models. NeuroImage 200: 391-404 (2019) - [j13]Chen Qin
Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction. IEEE Trans. Medical Imaging 38(1): 280-290 (2019) - [j12]Daan Christiaens
Learning Compact ${q}$ -Space Representations for Multi-Shell Diffusion-Weighted MRI. IEEE Trans. Medical Imaging 38(3): 834-843 (2019) - [c13]Chen Qin
k-t NEXT: Dynamic MR Image Reconstruction Exploiting Spatio-Temporal Correlations. MICCAI (2) 2019: 505-513 - [c12]Gavin Seegoolam, Jo Schlemper, Chen Qin
Exploiting Motion for Deep Learning Reconstruction of Extremely-Undersampled Dynamic MRI. MICCAI (4) 2019: 704-712 - [i5]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 abs/1902.10815 (2019) - [i4]Chen Qin, Jo Schlemper, Jinming Duan, Gavin Seegoolam, Anthony Price, Joseph V. Hajnal, Daniel Rueckert:
k-t NEXT: Dynamic MR Image Reconstruction Exploiting Spatio-temporal Correlations. CoRR abs/1907.09425 (2019) - 2018
- [j11]Jana Hutter
Slice-level diffusion encoding for motion and distortion correction. Medical Image Anal. 48: 214-229 (2018) - [j10]Emma C. Robinson
Multimodal surface matching with higher-order smoothness constraints. NeuroImage 167: 453-465 (2018) - [j9]Jelena Bozek
Construction of a neonatal cortical surface atlas using Multimodal Surface Matching in the Developing Human Connectome Project. NeuroImage 179: 11-29 (2018) - [j8]Jo Schlemper
A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction. IEEE Trans. Medical Imaging 37(2): 491-503 (2018) - [c11]Jo Schlemper, Daniel Coelho de Castro
Bayesian Deep Learning for Accelerated MR Image Reconstruction. MLMIR@MICCAI 2018: 64-71 - 2017
- [c10]Jo Schlemper, Jose Caballero, Joseph V. Hajnal
A Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction. IPMI 2017: 647-658 - [c9]Andreas Schuh
A deformable model for the reconstruction of the neonatal cortex. ISBI 2017: 800-803 - [c8]Jana Hutter
Dynamic Field Mapping and Motion Correction Using Interleaved Double Spin-Echo Diffusion MRI. MICCAI (1) 2017: 523-531 - [i3]Jo Schlemper, Jose Caballero, Joseph V. Hajnal, Anthony N. Price, Daniel Rueckert:
A Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction. CoRR abs/1703.00555 (2017) - [i2]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 abs/1704.02422 (2017) - [i1]Chen Qin, Jo Schlemper, Jose Caballero, Anthony Price, Joseph V. Hajnal, Daniel Rueckert:
Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction. CoRR abs/1712.01751 (2017) - 2016
- [j7]Giulio Ferrazzi
An exploration of task based fMRI in neonates using echo-shifting to allow acquisition at longer TE without loss of temporal efficiency. NeuroImage 127: 298-306 (2016) - [j6]Lucilio Cordero-Grande
Sensitivity Encoding for Aligned Multishot Magnetic Resonance Reconstruction. IEEE Trans. Computational Imaging 2(3): 266-280 (2016) - 2015
- [c7]Kanwal K. Bhatia, Jose Caballero, Anthony N. Price
Fast Reconstruction of Accelerated Dynamic MRI Using Manifold Kernel Regression. MICCAI (3) 2015: 510-518 - 2014
- [j5]Kanwal K. Bhatia, Anil Rao, Anthony N. Price
Hierarchical Manifold Learning for Regional Image Analysis. IEEE Trans. Medical Imaging 33(2): 444-461 (2014) - [j4]Jose Caballero, Anthony N. Price
Dictionary Learning and Time Sparsity for Dynamic MR Data Reconstruction. IEEE Trans. Medical Imaging 33(4): 979-994 (2014) - [c6]Kanwal K. Bhatia, Anthony N. Price, Wenzhe Shi, Joseph V. Hajnal
Super-resolution reconstruction of cardiac MRI using coupled dictionary learning. ISBI 2014: 947-950 - [c5]Jose Caballero, Wenjia Bai
Application-Driven MRI: Joint Reconstruction and Segmentation from Undersampled MRI Data. MICCAI (1) 2014: 106-113 - 2013
- [c4]Martin Jantsch, Daniel Rueckert
3D cardiac cine reconstruction from free-breathing 2D real-time image acquisitions using iterative motion correction. ISBI 2013: 812-815 - 2012
- [c3]Kanwal K. Bhatia, Anil Rao, Anthony N. Price, Robin Wolz, Joseph V. Hajnal
Hierarchical Manifold Learning. MICCAI (1) 2012: 512-519 - [c2]Kanwal K. Bhatia, Anthony N. Price
Localised manifold learning for cardiac image analysis. Medical Imaging: Image Processing 2012: 83140H - 2011
- [j3]Jon O. Cleary
Magnetic resonance virtual histology for embryos: 3D atlases for automated high-throughput phenotyping. NeuroImage 54(2): 769-778 (2011) - [j2]Jon O. Cleary
Structural correlates of active-staining following magnetic resonance microscopy in the mouse brain. NeuroImage 56(3): 974-983 (2011)
2000 – 2009
- 2009
- [j1]Rachael A. Panizzo, Panagiotis G. Kyrtatos
In vivo magnetic resonance imaging of endogenous neuroblasts labelled with a ferumoxide-polycation complex. NeuroImage 44(4): 1239-1246 (2009) - [c1]Eleftheria Panagiotaki, Hubert M. J. Fonteijn, Bernard Siow
Two-Compartment Models of the Diffusion MR Signal in Brain White Matter. MICCAI (1) 2009: 329-336
Coauthor Index
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last updated on 2024-10-11 18:22 CEST by the dblp team
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