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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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PIMMS: Permutation Invariant Multi-modal Segmentation., , , , and . DLMIA/ML-CDS@MICCAI, volume 11045 of Lecture Notes in Computer Science, page 201-209. Springer, (2018)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)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)Imitation learning for improved 3D PET/MR attenuation correction., , , , , , , , , and . Medical Image Anal., (2021)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)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)Physics-Informed Brain MRI Segmentation., , , , , , and . SASHIMI@MICCAI, volume 11827 of Lecture Notes in Computer Science, page 100-109. Springer, (2019)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)Test-Time Unsupervised Domain Adaptation., , , , , and . MICCAI (1), volume 12261 of Lecture Notes in Computer Science, page 428-436. Springer, (2020)