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Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge., , , , , , , , , and 34 other author(s). CoRR, (2019)Understanding metric-related pitfalls in image analysis validation., , , , , , , , , and 68 other author(s). CoRR, (2023)PIMMS: Permutation Invariant Multi-modal Segmentation., , , , and . DLMIA/ML-CDS@MICCAI, volume 11045 of Lecture Notes in Computer Science, page 201-209. Springer, (2018)ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping., , , , , and . NeurIPS, (2020)Bilayered anatomically constrained split-and-merge expectation maximisation algorithm (BiASM) for brain segmentation., , and . Medical Imaging: Image Processing, volume 9034 of SPIE Proceedings, page 903411. SPIE, (2014)Bayesian Model Selection for Pathological Neuroimaging Data Applied to White Matter Lesion Segmentation., , , , , and . IEEE Trans. Medical Imaging, 34 (10): 2079-2102 (2015)A k-Space Model of Movement Artefacts: Application to Segmentation Augmentation and Artefact Removal., , , , and . IEEE Trans. Medical Imaging, 39 (9): 2881-2892 (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)Hierarchical Brain Parcellation with Uncertainty., , , , , , and . UNSURE/GRAIL@MICCAI, volume 12443 of Lecture Notes in Computer Science, page 23-31. Springer, (2020)NiftyNet: a deep-learning platform for medical imaging., , , , , , , , , and 6 other author(s). CoRR, (2017)