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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)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)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)Understanding metric-related pitfalls in image analysis validation., , , , , , , , , and 68 other author(s). CoRR, (2023)MRI k-Space Motion Artefact Augmentation: Model Robustness and Task-Specific Uncertainty., , , and . MIDL, volume 102 of Proceedings of Machine Learning Research, page 427-436. PMLR, (2019)ICAM-Reg: Interpretable Classification and Regression With Feature Attribution for Mapping Neurological Phenotypes in Individual Scans., , , , , , , , , and 1 other author(s). IEEE Trans. Medical Imaging, 42 (4): 959-970 (April 2023)Learning joint segmentation of tissues and brain lesions from task-specific hetero-modal domain-shifted datasets., , , , , , , and . CoRR, (2020)3D multirater RCNN for multimodal multiclass detection and characterisation of extremely small objects., , , , , , , , , and . CoRR, (2018)Machine learning assisted DSC-MRI radiomics as a tool for glioma classification by grade and mutation status., , , , , , , , , and 19 other author(s). BMC Medical Informatics Decis. Mak., 20 (1): 149 (2020)