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ICAM-Reg: Interpretable Classification and Regression With Feature Attribution for Mapping Neurological Phenotypes in Individual Scans.

, , , , , , , , , , and . IEEE Trans. Medical Imaging, 42 (4): 959-970 (April 2023)

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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)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)Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge., , , , , , , , , and 34 other author(s). CoRR, (2019)ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping., , , , , and . NeurIPS, (2020)Automated White Matter Hyperintensity Segmentation Using Bayesian Model Selection: Assessment and Correlations with Cognitive Change., , , , , , , , , and 2 other author(s). Neuroinformatics, 18 (3): 429-449 (2020)Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021., , , , , , , , , and 39 other author(s). CoRR, (2022)Physics-Informed Brain MRI Segmentation., , , , , , and . SASHIMI@MICCAI, volume 11827 of Lecture Notes in Computer Science, page 100-109. 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)Bayesian Model Selection for Pathological Neuroimaging Data Applied to White Matter Lesion Segmentation., , , , , and . IEEE Trans. Medical Imaging, 34 (10): 2079-2102 (2015)