Zach Eaton-Rosen

28 papers A* 2B 1Journal 13Unranked 12
YearRankTypeTitle / Venue / Authors
2022 J jnl
GraphCast: Learning skillful medium-range global weather forecasting.
CoRR
Rémi Lam, Alvaro Sanchez-Gonzalez, Matthew Willson, Peter Wirnsberger, Meire Fortunato, Alexander Pritzel, Suman V. Ravuri, Timo Ewalds, Ferran Alet, Zach Eaton-Rosen, Weihua Hu, Alexander Merose, Stephan Hoyer, George Holland, Jacklynn Stott, Oriol Vinyals, Shakir Mohamed, Peter W. Battaglia
2021 J jnl
Making EfficientNet More Efficient: Exploring Batch-Independent Normalization, Group Convolutions and Reduced Resolution Training.
CoRR
Dominic Masters, Antoine Labatie, Zach Eaton-Rosen, Carlo Luschi
2021 A* conf
Proxy-Normalizing Activations to Match Batch Normalization while Removing Batch Dependence.
NeurIPS
Antoine Labatie, Dominic Masters, Zach Eaton-Rosen, Carlo Luschi
2021 J jnl
Proxy-Normalizing Activations to Match Batch Normalization while Removing Batch Dependence.
CoRR
Antoine Labatie, Dominic Masters, Zach Eaton-Rosen, Carlo Luschi
2020 A* conf
Improving Neural Network Training in Low Dimensional Random Bases.
NeurIPS
Frithjof Gressmann, Zach Eaton-Rosen, Carlo Luschi
2020 J jnl
Improving Neural Network Training in Low Dimensional Random Bases.
CoRR
Frithjof Gressmann, Zach Eaton-Rosen, Carlo Luschi
2019 — conf
As Easy as 1, 2...4? Uncertainty in Counting Tasks for Medical Imaging.
MICCAI (4)
Zach Eaton-Rosen, Thomas Varsavsky, Sébastien Ourselin, M. Jorge Cardoso
2019 J jnl
As easy as 1, 2... 4? Uncertainty in counting tasks for medical imaging.
CoRR
Zach Eaton-Rosen, Thomas Varsavsky, Sébastien Ourselin, M. Jorge Cardoso
2019 J jnl
Multi-Domain Adaptation in Brain MRI through Paired Consistency and Adversarial Learning.
CoRR
Mauricio Orbes-Arteaga, Thomas Varsavsky, Carole H. Sudre, Zach Eaton-Rosen, Lewis J. Haddow, Lauge Sørensen, Mads Nielsen, Akshay Pai, Sébastien Ourselin, Marc Modat, Parashkev Nachev, Manuel Jorge Cardoso
2019 — conf
Multi-domain Adaptation in Brain MRI Through Paired Consistency and Adversarial Learning.
DART/MIL3ID@MICCAI
Mauricio Orbes-Arteaga, Thomas Varsavsky, Carole H. Sudre, Zach Eaton-Rosen, Lewis J. Haddow, Lauge Sørensen, Mads Nielsen, Akshay Pai, Sébastien Ourselin, Marc Modat, Parashkev Nachev, M. Jorge Cardoso
2018 — conf
Deep Convolutional Filtering for Spatio-Temporal Denoising and Artifact Removal in Arterial Spin Labelling MRI.
MICCAI (1)
David Owen, Andrew Melbourne, Zach Eaton-Rosen, David L. Thomas, Neil Marlow, Jonathan D. Rohrer, Sébastien Ourselin
2018 J jnl
NiftyNet: a deep-learning platform for medical imaging.
Comput. Methods Programs Biomed.
Eli Gibson, Wenqi Li, Carole H. Sudre, Lucas Fidon, Dzhoshkun I. Shakir, Guotai Wang, Zach Eaton-Rosen, Robert J. Gray, Tom Doel, Yipeng Hu, Tom Whyntie, Parashkev Nachev, Marc Modat, Dean C. Barratt, Sébastien Ourselin, M. Jorge Cardoso, Tom Vercauteren
2018 J jnl
PIMMS: Permutation Invariant Multi-Modal Segmentation.
CoRR
Thomas Varsavsky, Zach Eaton-Rosen, Carole H. Sudre, Parashkev Nachev, M. Jorge Cardoso
2018 — conf
PIMMS: Permutation Invariant Multi-modal Segmentation.
DLMIA/ML-CDS@MICCAI
Thomas Varsavsky, Zach Eaton-Rosen, Carole H. Sudre, Parashkev Nachev, M. Jorge Cardoso
2018 — conf
Towards Safe Deep Learning: Accurately Quantifying Biomarker Uncertainty in Neural Network Predictions.
MICCAI (1)
Zach Eaton-Rosen, Felix J. S. Bragman, Sotirios Bisdas, Sébastien Ourselin, M. Jorge Cardoso
2018 J jnl
Towards safe deep learning: accurately quantifying biomarker uncertainty in neural network predictions.
CoRR
Zach Eaton-Rosen, Felix J. S. Bragman, Sotirios Bisdas, Sébastien Ourselin, M. Jorge Cardoso
2018 — conf
Uncertainty in Multitask Learning: Joint Representations for Probabilistic MR-only Radiotherapy Planning.
MICCAI (4)
Felix J. S. Bragman, Ryutaro Tanno, Zach Eaton-Rosen, Wenqi Li, David J. Hawkes, Sébastien Ourselin, Daniel C. Alexander, Jamie R. McClelland, M. Jorge Cardoso
2018 J jnl
Uncertainty in multitask learning: joint representations for probabilistic MR-only radiotherapy planning.
CoRR
Felix J. S. Bragman, Ryutaro Tanno, Zach Eaton-Rosen, Wenqi Li, David J. Hawkes, Sébastien Ourselin, Daniel C. Alexander, Jamie R. McClelland, M. Jorge Cardoso
2017 — conf
Anatomy-Driven Modelling of Spatial Correlation for Regularisation of Arterial Spin Labelling Images.
MICCAI (2)
David Owen, Andrew Melbourne, Zach Eaton-Rosen, David Thomas, Neil Marlow, Jonathan D. Rohrer, Sébastien Ourselin
2017 J jnl
Investigating the maturation of microstructure and radial orientation in the preterm human cortex with diffusion MRI.
NeuroImage
Zach Eaton-Rosen, Benoît Scherrer, Andrew Melbourne, Sébastien Ourselin, Jeffrey J. Neil, Simon K. Warfield
2017 J jnl
NiftyNet: a deep-learning platform for medical imaging.
CoRR
Eli Gibson, Wenqi Li, Carole H. Sudre, Lucas Fidon, Dzhoshkun I. Shakir, Guotai Wang, Zach Eaton-Rosen, Robert J. Gray, Tom Doel, Yipeng Hu, Tom Whyntie, Parashkev Nachev, Dean C. Barratt, Sébastien Ourselin, M. Jorge Cardoso, Tom Vercauteren
2016 — conf
Beyond the Resolution Limit: Diffusion Parameter Estimation in Partial Volume.
MICCAI (3)
Zach Eaton-Rosen, Andrew Melbourne, M. Jorge Cardoso, Neil Marlow, Sébastien Ourselin
2016 B conf
Fitting parametric models of diffusion MRI in regions of partial volume.
Image Processing
Zach Eaton-Rosen, Manuel Jorge Cardoso, Andrew Melbourne, Eliza Orasanu, Alan Bainbridge, Giles S. Kendall, Nicola J. Robertson, Neil Marlow, Sébastien Ourselin
2015 J jnl
Longitudinal measurement of the developing grey matter in preterm subjects using multi-modal MRI.
NeuroImage
Zach Eaton-Rosen, Andrew Melbourne, Eliza Orasanu, Manuel Jorge Cardoso, Marc Modat, Alan Bainbridge, Giles S. Kendall, Nicola J. Robertson, Neil Marlow, Sébastien Ourselin
2015 — conf
Measuring Cortical Neurite-Dispersion and Perfusion in Preterm-Born Adolescents Using Multi-modal MRI.
MICCAI (3)
Andrew Melbourne, Zach Eaton-Rosen, David Owen, M. Jorge Cardoso, Joanne Beckmann, David Atkinson, Neil Marlow, Sébastien Ourselin
2014 — conf
Longitudinal Measurement of the Developing Thalamus in the Preterm Brain Using Multi-modal MRI.
MICCAI (2)
Zach Eaton-Rosen, Andrew Melbourne, Eliza Orasanu, Marc Modat, Manuel Jorge Cardoso, Alan Bainbridge, Giles S. Kendall, Nicola J. Robertson, Neil Marlow, Sébastien Ourselin
2014 — conf
Multi-modal Measurement of the Myelin-to-Axon Diameter g-ratio in Preterm-born Neonates and Adult Controls.
MICCAI (2)
Andrew Melbourne, Zach Eaton-Rosen, Enrico De Vita, Alan Bainbridge, Manuel Jorge Cardoso, David Price, Ernest Cady, Giles S. Kendall, Nicola J. Robertson, Neil Marlow, Sébastien Ourselin
2013 — conf
Measurement of Myelin in the Preterm Brain: Multi-compartment Diffusion Imaging and Multi-component T2 Relaxometry.
MICCAI (2)
Andrew Melbourne, Zach Eaton-Rosen, Alan Bainbridge, Giles S. Kendall, Manuel Jorge Cardoso, Nicola J. Robertson, Neil Marlow, Sébastien Ourselin