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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)ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping., , , , , and . NeurIPS, (2020)PIMMS: Permutation Invariant Multi-modal Segmentation., , , , and . DLMIA/ML-CDS@MICCAI, volume 11045 of Lecture Notes in Computer Science, page 201-209. Springer, (2018)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)Evaluation of automated airway morphological quantification for assessing fibrosing lung disease., , , , , , , , , and 14 other author(s). CoRR, (2021)Estimating MRI Image Quality via Image Reconstruction Uncertainty., , , and . CoRR, (2021)Author Correction: High-dimensional detection of imaging response to treatment in multiple sclerosis., , , , , , , , , and 1 other author(s). npj Digit. Medicine, (2019)