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

, , , , , , , , , , , and . DART/MIL3ID@MICCAI, volume 11795 of Lecture Notes in Computer Science, page 54-62. Springer, (2019)

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Fitting parametric models of diffusion MRI in regions of partial volume., , , , , , , , and . Medical Imaging: Image Processing, volume 9784 of SPIE Proceedings, page 97843E. SPIE, (2016)PIMMS: Permutation Invariant Multi-modal Segmentation., , , , and . DLMIA/ML-CDS@MICCAI, volume 11045 of Lecture Notes in Computer Science, page 201-209. Springer, (2018)Making EfficientNet More Efficient: Exploring Batch-Independent Normalization, Group Convolutions and Reduced Resolution Training., , , and . CoRR, (2021)As Easy as 1, 2...4? Uncertainty in Counting Tasks for Medical Imaging., , , and . MICCAI (4), volume 11767 of Lecture Notes in Computer Science, page 356-364. Springer, (2019)Beyond the Resolution Limit: Diffusion Parameter Estimation in Partial Volume., , , , and . MICCAI (3), volume 9902 of Lecture Notes in Computer Science, page 605-612. (2016)Towards Safe Deep Learning: Accurately Quantifying Biomarker Uncertainty in Neural Network Predictions., , , , and . MICCAI (1), volume 11070 of Lecture Notes in Computer Science, page 691-699. Springer, (2018)Multi-modal Measurement of the Myelin-to-Axon Diameter g-ratio in Preterm-born Neonates and Adult Controls., , , , , , , , , and 1 other author(s). MICCAI (2), volume 8674 of Lecture Notes in Computer Science, page 268-275. Springer, (2014)Longitudinal measurement of the developing grey matter in preterm subjects using multi-modal MRI., , , , , , , , , and . NeuroImage, (2015)Proxy-Normalizing Activations to Match Batch Normalization while Removing Batch Dependence., , , and . NeurIPS, page 16990-17006. (2021)Improving Neural Network Training in Low Dimensional Random Bases., , and . NeurIPS, (2020)