ZE
Zach Eaton-Rosen
cs.CVcs.LGstat.MLcs.AIcs.NEeess.IVAdversarial learningauditionBrain MRconnectivity
On Valency
published · living versionsW_ctyr365s·v1 · currentpublished
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
with Spyridon Bakas, Mauricio Reyes, Andras Jakab, Stefan Bauer +422
1 version
Preprints & journals
21 papers in the corpus · 2013–2024Imagen 32408.07009v3 · Imagen-Team-Google: Jason Baldridge, Jakob Bauer, Mukul Bhutani et al.2024 · 4 citationsarXiv
Learning skillful medium-range global weather forecasting.37962497 · Lam, Remi, Sanchez-Gonzalez, Alvaro, Willson, Matthew et al.2023 · 1,453 citationsScience (New York, N.Y.). 2023;382(6677):1416-1421
GraphCast: Learning skillful medium-range global weather forecasting2212.12794v2 · Remi Lam, Alvaro Sanchez-Gonzalez, Matthew Willson et al.2022 · 155 citationsarXiv
Making EfficientNet More Efficient: Exploring Batch-Independent Normalization, Group Convolutions and Reduced Resolution Training2106.03640v4 · Dominic Masters, Antoine Labatie, Zach Eaton-Rosen et al.2021 · 8 citationsarXiv
Proxy-Normalizing Activations to Match Batch Normalization while Removing Batch Dependence2106.03743v6 · Antoine Labatie, Dominic Masters, Zach Eaton-Rosen et al.2021 · 11 citationsarXiv
Improving Neural Network Training in Low Dimensional Random Bases2011.04720v1 · Frithjof Gressmann, Zach Eaton-Rosen, Carlo Luschi2020 · 11 citationsarXiv
As easy as 1, 2... 4? Uncertainty in counting tasks for medical imaging1907.11555v1 · Zach Eaton-Rosen, Thomas Varsavsky, Sebastien Ourselin et al.2019 · 14 citationsarXiv
Multi-domain Adaptation in Brain MRI Through Paired Consistency and Adversarial Learning.34109324 · Orbes-Arteaga, Mauricio, Varsavsky, Thomas, Sudre, Carole H et al.2025 · 10 citationsDomain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data : first MICCAI Workshop, DART 2019, and first International Workshop, MIL3ID 2019, Shenzhen, held in conjunction with MICCAI 20.... 2019;2019:54-62
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge1811.02629v3 · Spyridon Bakas, Mauricio Reyes, Andras Jakab et al.2018 · 1,441 citationsarXivon Valency
PIMMS: Permutation Invariant Multi-Modal Segmentation1807.06537v1 · Thomas Varsavsky, Zach Eaton-Rosen, Carole H. Sudre et al.2018 · 22 citationsarXiv
Towards safe deep learning: accurately quantifying biomarker uncertainty in neural network predictions1806.08640v1 · Zach Eaton-Rosen, Felix Bragman, Sotirios Bisdas et al.2018 · 85 citationsarXiv
Somatosensory function and pain in extremely preterm young adults from the UK EPICure cohort: sex-dependent differences and impact of neonatal surgery.30115261 · Walker, S M, Melbourne, A, O'Reilly, H et al.2019 · 115 citationsBritish journal of anaesthesia. 2018;121(3):623-635
Uncertainty in multitask learning: joint representations for probabilistic MR-only radiotherapy planning1806.06595v1 · Felix J.S. Bragman, Ryutaro Tanno, Zach Eaton-Rosen et al.2018 · 49 citationsarXiv
NiftyNet: a deep-learning platform for medical imaging.29544777 · Gibson, Eli, Li, Wenqi, Sudre, Carole et al.2018 · 553 citationsComputer methods and programs in biomedicine. 2018;158:113-122
Differential Rates of Perinatal Maturation of Human Primary and Nonprimary Auditory Cortex.29354680 · Monson, Brian B, Eaton-Rosen, Zach, Kapur, Kush et al.2019 · 39 citationseNeuro. 2018;5(1)
Investigating the maturation of microstructure and radial orientation in the preterm human cortex with diffusion MRI.28801253 · Eaton-Rosen, Zach, Scherrer, Benoit, Melbourne, Andrew et al.2018 · 32 citationsNeuroImage. 2017;162:65-72
Longitudinal development in the preterm thalamus and posterior white matter: MRI correlations between diffusion weighted imaging and T2 relaxometry.26996400 · Melbourne, Andrew, Eaton-Rosen, Zach, Orasanu, Eliza et al.2018 · 30 citationsHuman brain mapping. 2016;37(7):2479-92
Longitudinal measurement of the developing grey matter in preterm subjects using multi-modal MRI.25681570 · Eaton-Rosen, Zach, Melbourne, Andrew, Orasanu, Eliza et al.2016 · 85 citationsNeuroImage. 2015;111:580-9
Multi-modal measurement of the myelin-to-axon diameter g-ratio in preterm-born neonates and adult controls.25485388 · Melbourne, Andrew, Eaton-Rosen, Zach, De Vita, Enrico et al.2015 · 16 citationsMedical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. 2014;17(Pt 2):268-75
Longitudinal measurement of the developing thalamus in the preterm brain using multi-modal MRI.25485389 · Eaton-Rosen, Zach, Melbourne, Andrew, Orasanu, Eliza et al.2015 · 8 citationsMedical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. 2014;17(Pt 2):276-83
Measurement of myelin in the preterm brain: multi-compartment diffusion imaging and multi-component T2 relaxometry.24579158 · Melbourne, Andrew, Eaton-Rosen, Zach, Bainbridge, Alan et al.2014 · 15 citationsMedical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. 2013;16(Pt 2):336-44
Career total: 38 works. 21 are in this corpus.
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