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Incorporating Domain Knowledge Into the Fuzzy Connectedness Framework: Application to Brain Lesion Volume Estimation in Multiple Sclerosis.

, , , , , , , , , , and . IEEE Trans. Med. Imaging, 26 (12): 1670-1680 (2007)

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MIMoSA: An Approach to Automatically Segment T2 Hyperintense and T1 Hypointense Lesions in Multiple Sclerosis., , , , , , , , and . BrainLes@MICCAI (1), volume 11383 of Lecture Notes in Computer Science, page 47-56. Springer, (2018)Segmentation of Multiple Sclerosis Lesions across Hospitals: Learn Continually or Train from Scratch?, , , , , , , , , and 1 other author(s). CoRR, (2022)Power estimation for non-standardized multisite studies., , , , , , , , , and 46 other author(s). NeuroImage, (2016)The relationship between whole brain volume and disability in multiple sclerosis: A comparison of normalized gray vs. white matter with misclassification correction., , , , and . NeuroImage, 26 (4): 1068-1077 (2005)Incorporating Domain Knowledge Into the Fuzzy Connectedness Framework: Application to Brain Lesion Volume Estimation in Multiple Sclerosis., , , , , , , , , and 1 other author(s). IEEE Trans. Med. Imaging, 26 (12): 1670-1680 (2007)3 T MRI relaxometry detects T2 prolongation in the cerebral normal-appearing white matter in multiple sclerosis., , , , , , , , , and 1 other author(s). NeuroImage, 46 (3): 633-641 (2009)Automatic spinal cord localization, robust to MRI contrasts using global curve optimization., , , , , , , , , and 2 other author(s). Medical Image Anal., (2018)OptiC: Robust and Automatic Spinal Cord Localization on a Large Variety of MRI Data Using a Distance Transform Based Global Optimization., , , , , , , , , and 2 other author(s). MICCAI (2), volume 10434 of Lecture Notes in Computer Science, page 712-719. Springer, (2017)Using multiple imputation to efficiently correct cerebral MRI whole brain lesion and atrophy data in patients with multiple sclerosis., , , , , , , , and . NeuroImage, (2015)Rapid semi-automatic segmentation of the spinal cord from magnetic resonance images: Application in multiple sclerosis., , , , , , , , and . NeuroImage, 50 (2): 446-455 (2010)