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Zach Eaton-Rosen
Zach Eaton-Rosen
DeepMind
Verified email at deepmind.com
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Cited by
Year
Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge
S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ...
arXiv preprint arXiv:1811.02629, 2018
17262018
NiftyNet: a deep-learning platform for medical imaging
E Gibson, W Li, C Sudre, L Fidon, DI Shakir, G Wang, Z Eaton-Rosen, ...
Computer methods and programs in biomedicine 158, 113-122, 2018
6542018
GraphCast: Learning skillful medium-range global weather forecasting
R Lam, A Sanchez-Gonzalez, M Willson, P Wirnsberger, M Fortunato, ...
arXiv preprint arXiv:2212.12794, 2022
1312022
Improving data augmentation for medical image segmentation
Z Eaton-Rosen, F Bragman, S Ourselin, MJ Cardoso
1162018
Longitudinal measurement of the developing grey matter in preterm subjects using multi-modal MRI
Z Eaton-Rosen, A Melbourne, E Orasanu, MJ Cardoso, M Modat, ...
NeuroImage 111, 580-589, 2015
952015
Somatosensory function and pain in extremely preterm young adults from the UK EPICure cohort: sex-dependent differences and impact of neonatal surgery
SM Walker, A Melbourne, H O'Reilly, J Beckmann, Z Eaton-Rosen, ...
British journal of anaesthesia 121 (3), 623-635, 2018
912018
Towards safe deep learning: accurately quantifying biomarker uncertainty in neural network predictions
Z Eaton-Rosen, F Bragman, S Bisdas, S Ourselin, MJ Cardoso
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
902018
Uncertainty in multitask learning: joint representations for probabilistic MR-only radiotherapy planning
FJS Bragman, R Tanno, Z Eaton-Rosen, W Li, DJ Hawkes, S Ourselin, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
532018
Learning skillful medium-range global weather forecasting
R Lam, A Sanchez-Gonzalez, M Willson, P Wirnsberger, M Fortunato, ...
Science 382 (6677), 1416-1421, 2023
502023
Multi-domain adaptation in brain MRI through paired consistency and adversarial learning
M Orbes-Arteaga, T Varsavsky, CH Sudre, Z Eaton-Rosen, LJ Haddow, ...
Domain Adaptation and Representation Transfer and Medical Image Learning …, 2019
402019
Longitudinal development in the preterm thalamus and posterior white matter: MRI correlations between diffusion weighted imaging and T2 relaxometry
A Melbourne, Z Eaton‐Rosen, E Orasanu, D Price, A Bainbridge, ...
Human Brain Mapping 37 (7), 2479-2492, 2016
332016
Investigating the maturation of microstructure and radial orientation in the preterm human cortex with diffusion MRI
Z Eaton-Rosen, B Scherrer, A Melbourne, S Ourselin, JJ Neil, SK Warfield
Neuroimage 162, 65-72, 2017
292017
Differential rates of perinatal maturation of human primary and nonprimary auditory cortex
BB Monson, Z Eaton-Rosen, K Kapur, E Liebenthal, A Brownell, ...
ENeuro 5 (1), 2018
252018
Pimms: permutation invariant multi-modal segmentation
T Varsavsky, Z Eaton-Rosen, CH Sudre, P Nachev, MJ Cardoso
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2018
242018
Deep convolutional filtering for spatio-temporal denoising and artifact removal in arterial spin labelling MRI
D Owen, A Melbourne, Z Eaton-Rosen, DL Thomas, N Marlow, J Rohrer, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
202018
Multi-modal measurement of the myelin-to-axon diameter g-ratio in preterm-born neonates and adult controls
A Melbourne, Z Eaton-Rosen, E De Vita, A Bainbridge, MJ Cardoso, ...
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2014: 17th …, 2014
192014
Measurement of Myelin in the Preterm Brain: Multi-compartment Diffusion Imaging and Multi-component T2 Relaxometry
A Melbourne, Z Eaton-Rosen, A Bainbridge, GS Kendall, MJ Cardoso, ...
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2013: 16th …, 2013
172013
Proxy-normalizing activations to match batch normalization while removing batch dependence
A Labatie, D Masters, Z Eaton-Rosen, C Luschi
Advances in Neural Information Processing Systems 34, 16990-17006, 2021
152021
As easy as 1, 2... 4? uncertainty in counting tasks for medical imaging
Z Eaton-Rosen, T Varsavsky, S Ourselin, MJ Cardoso
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
152019
Improving neural network training in low dimensional random bases
F Gressmann, Z Eaton-Rosen, C Luschi
Advances in Neural Information Processing Systems 33, 12140-12150, 2020
142020
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