Articles with public access mandates - Zach Eaton-RosenLearn more
Not available anywhere: 1
Fitting parametric models of diffusion MRI in regions of partial volume
Z Eaton-Rosen, MJ Cardoso, A Melbourne, E Orasanu, A Bainbridge, ...
Medical Imaging 2016: Image Processing 9784, 902-910, 2016
Mandates: UK Engineering and Physical Sciences Research Council, National Institute …
Available somewhere: 22
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
Mandates: Cancer Research UK, UK Engineering and Physical Sciences Research Council …
Improving data augmentation for medical image segmentation
Z Eaton-Rosen, F Bragman, S Ourselin, MJ Cardoso
Mandates: UK Engineering and Physical Sciences Research Council
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
Mandates: UK Engineering and Physical Sciences Research Council, UK Medical Research …
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
Mandates: Cancer Research UK, UK Engineering and Physical Sciences Research Council …
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
Mandates: UK Medical Research Council, National Institute for Health Research, UK
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
Mandates: Cancer Research UK, UK Engineering and Physical Sciences Research Council …
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
Mandates: UK Engineering and Physical Sciences Research Council, Wellcome Trust …
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
Mandates: UK Engineering and Physical Sciences Research Council, UK Medical Research …
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
Mandates: US National Institutes of Health, UK Engineering and Physical Sciences …
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
Mandates: UK Engineering and Physical Sciences Research Council, National Institute …
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
Mandates: US National Institutes of Health, Doris Duke Charitable Foundation
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
Mandates: UK Engineering and Physical Sciences Research Council, National Institute …
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
Mandates: UK Engineering and Physical Sciences Research Council, UK Medical Research …
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
Mandates: UK Engineering and Physical Sciences Research Council, Wellcome Trust
Longitudinal measurement of the developing thalamus in the preterm brain using multi-modal MRI
Z Eaton-Rosen, A Melbourne, E Orasanu, M Modat, MJ Cardoso, ...
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2014: 17th …, 2014
Mandates: UK Engineering and Physical Sciences Research Council, UK Medical Research …
Anatomy-driven modelling of spatial correlation for regularisation of arterial spin labelling images
D Owen, A Melbourne, Z Eaton-Rosen, DL Thomas, N Marlow, J Rohrer, ...
Medical Image Computing and Computer-Assisted Intervention− MICCAI 2017 …, 2017
Mandates: UK Engineering and Physical Sciences Research Council, National Institute …
Beyond the resolution limit: diffusion parameter estimation in partial volume
Z Eaton-Rosen, A Melbourne, MJ Cardoso, N Marlow, S Ourselin
Medical Image Computing and Computer-Assisted Intervention-MICCAI 2016: 19th …, 2016
Mandates: US National Institutes of Health, UK Engineering and Physical Sciences …
Tensor spectral matching of diffusion weighted images
E Orasanu, A Melbourne, M Lorenzi, M Modat, H Lombaert, ...
SAMI Conference Proceedings, MIDAS Journal, 35-44, 2015
Mandates: UK Engineering and Physical Sciences Research Council, National Institute …
Measuring cortical neurite-dispersion and perfusion in preterm-born adolescents using multi-modal MRI
A Melbourne, Z Eaton-Rosen, D Owen, J Cardoso, J Beckmann, ...
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2015: 18th …, 2015
Mandates: UK Engineering and Physical Sciences Research Council, National Institute …
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