Zach Eaton-Rosen

According to our database, Zach Eaton-Rosen authored at least 21 papers between 2013 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

GraphCast: Learning skillful medium-range global weather forecasting.

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

CoRR, 2022

2021

Making EfficientNet More Efficient: Exploring Batch-Independent Normalization, Group Convolutions and Reduced Resolution Training.

Dominic Masters, Antoine Labatie, Zach Eaton-Rosen, Carlo Luschi

CoRR, 2021

Proxy-Normalizing Activations to Match Batch Normalization while Removing Batch Dependence.

Antoine Labatie, Dominic Masters, Zach Eaton-Rosen, Carlo Luschi

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Improving Neural Network Training in Low Dimensional Random Bases.

Frithjof Gressmann, Zach Eaton-Rosen, Carlo Luschi

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Multi-domain Adaptation in Brain MRI Through Paired Consistency and Adversarial Learning.

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

Proceedings of the Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data, 2019

As Easy as 1, 2...4? Uncertainty in Counting Tasks for Medical Imaging.

Zach Eaton-Rosen, Thomas Varsavsky, Sébastien Ourselin, M. Jorge Cardoso

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018

NiftyNet: a deep-learning platform for medical imaging.

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

Comput. Methods Programs Biomed., 2018

PIMMS: Permutation Invariant Multi-modal Segmentation.

Thomas Varsavsky, Zach Eaton-Rosen, Carole H. Sudre, Parashkev Nachev, M. Jorge Cardoso

Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018

Towards Safe Deep Learning: Accurately Quantifying Biomarker Uncertainty in Neural Network Predictions.

Zach Eaton-Rosen, Felix J. S. Bragman, Sotirios Bisdas, Sébastien Ourselin, M. Jorge Cardoso

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Uncertainty in Multitask Learning: Joint Representations for Probabilistic MR-only Radiotherapy Planning.

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Deep Convolutional Filtering for Spatio-Temporal Denoising and Artifact Removal in Arterial Spin Labelling MRI.

David Owen, Andrew Melbourne, Zach Eaton-Rosen, David L. Thomas, Neil Marlow, Jonathan D. Rohrer, Sébastien Ourselin

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017

Investigating the maturation of microstructure and radial orientation in the preterm human cortex with diffusion MRI.

Zach Eaton-Rosen, Benoît Scherrer, Andrew Melbourne, Sébastien Ourselin, Jeffrey J. Neil, Simon K. Warfield

NeuroImage, 2017

NiftyNet: a deep-learning platform for medical imaging.

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

CoRR, 2017

Anatomy-Driven Modelling of Spatial Correlation for Regularisation of Arterial Spin Labelling Images.

David Owen, Andrew Melbourne, Zach Eaton-Rosen, David Thomas, Neil Marlow, Jonathan D. Rohrer, Sébastien Ourselin

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

2016

Fitting parametric models of diffusion MRI in regions of partial volume.

Zach Eaton-Rosen, Manuel Jorge Cardoso, Andrew Melbourne, Eliza Orasanu, Alan Bainbridge, Giles S. Kendall, Nicola J. Robertson, Neil Marlow, Sébastien Ourselin

Proceedings of the Medical Imaging 2016: Image Processing, 2016

Beyond the Resolution Limit: Diffusion Parameter Estimation in Partial Volume.

Zach Eaton-Rosen, Andrew Melbourne, M. Jorge Cardoso, Neil Marlow, Sébastien Ourselin

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

2015

Longitudinal measurement of the developing grey matter in preterm subjects using multi-modal MRI.

Zach Eaton-Rosen, Andrew Melbourne, Eliza Orasanu, Manuel Jorge Cardoso, Marc Modat, Alan Bainbridge, Giles S. Kendall, Nicola J. Robertson, Neil Marlow, Sébastien Ourselin

NeuroImage, 2015

Measuring Cortical Neurite-Dispersion and Perfusion in Preterm-Born Adolescents Using Multi-modal MRI.

Andrew Melbourne, Zach Eaton-Rosen, David Owen, M. Jorge Cardoso, Joanne Beckmann, David Atkinson, Neil Marlow, Sébastien Ourselin

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

2014

Multi-modal Measurement of the Myelin-to-Axon Diameter g-ratio in Preterm-born Neonates and Adult Controls.

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

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Longitudinal Measurement of the Developing Thalamus in the Preterm Brain Using Multi-modal MRI.

Zach Eaton-Rosen, Andrew Melbourne, Eliza Orasanu, Marc Modat, Manuel Jorge Cardoso, Alan Bainbridge, Giles S. Kendall, Nicola J. Robertson, Neil Marlow, Sébastien Ourselin

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

2013

Measurement of Myelin in the Preterm Brain: Multi-compartment Diffusion Imaging and Multi-component T2 Relaxometry.

Andrew Melbourne, Zach Eaton-Rosen, Alan Bainbridge, Giles S. Kendall, Manuel Jorge Cardoso, Nicola J. Robertson, Neil Marlow, Sébastien Ourselin

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013