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Let's Agree to Disagree: Learning Highly Debatable Multirater Labelling.

, , , , , , , , , , , and . MICCAI (4), volume 11767 of Lecture Notes in Computer Science, page 665-673. Springer, (2019)

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PIMMS: Permutation Invariant Multi-modal Segmentation., , , , and . DLMIA/ML-CDS@MICCAI, volume 11045 of Lecture Notes in Computer Science, page 201-209. Springer, (2018)Multi-domain Adaptation in Brain MRI Through Paired Consistency and Adversarial Learning., , , , , , , , , and 2 other author(s). DART/MIL3ID@MICCAI, volume 11795 of Lecture Notes in Computer Science, page 54-62. Springer, (2019)Bayesian Volumetric Autoregressive Generative Models for Better Semisupervised Learning., , , , and . MICCAI (4), volume 11767 of Lecture Notes in Computer Science, page 429-437. Springer, (2019)Physics-Informed Brain MRI Segmentation., , , , , , and . SASHIMI@MICCAI, volume 11827 of Lecture Notes in Computer Science, page 100-109. Springer, (2019)Neuromorphologicaly-preserving Volumetric data encoding using VQ-VAE., , , , , , , and . CoRR, (2020)3D multirater RCNN for multimodal multiclass detection and characterisation of extremely small objects., , , , , , , , , and 1 other author(s). MIDL, volume 102 of Proceedings of Machine Learning Research, page 447-456. PMLR, (2019)Imitation learning for improved 3D PET/MR attenuation correction., , , , , , , , , and . Medical Image Anal., (2021)The Role of MRI Physics in Brain Segmentation CNNs: Achieving Acquisition Invariance and Instructive Uncertainties., , , , , , , and . SASHIMI@MICCAI, volume 12965 of Lecture Notes in Computer Science, page 67-76. Springer, (2021)Hierarchical Brain Parcellation with Uncertainty., , , , , , and . UNSURE/GRAIL@MICCAI, volume 12443 of Lecture Notes in Computer Science, page 23-31. Springer, (2020)Let's Agree to Disagree: Learning Highly Debatable Multirater Labelling., , , , , , , , , and 2 other author(s). MICCAI (4), volume 11767 of Lecture Notes in Computer Science, page 665-673. Springer, (2019)