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Brain MRI Intensity Inhomogeneity Correction Using Region of Interest, Anatomic Structural Map, and Outlier Detection, , and . Applied Computing in Medicine and Health, chapter 4, Elsevier and Morgan Kaufmann, Amsterdam, (2016)Local Indicators of Spatial Autocorrelation (LISA): Application to Blind Noise-Based Perceptual Quality Metric Index for Magnetic Resonance Images., , , and . J. Imaging, 5 (1): 20 (2019)Periodic Table of the Finite Elements, and . (Nov 3, 2014)Statistical power and measurement bias in multisite resting-state fMRI connectivity., , , , , , and . CoRR, (2016)Multigrid in H(div) and H(curl), , and . Numerische Mathematik, 85 (2): 197--212 (2000)Automated detection of focal cortical dysplasia lesions using computational models of their MRI characteristics and texture analysis., , , , , , , and . NeuroImage, 19 (4): 1748-1759 (2003)Exploring Uncertainty Measures in Deep Networks for Multiple Sclerosis Lesion Detection and Segmentation., , , and . MICCAI (1), volume 11070 of Lecture Notes in Computer Science, page 655-663. Springer, (2018)The Hellan-Herrmann-Johnson Method with Curved Elements., and . SIAM J. Numer. Anal., 58 (5): 2829-2855 (2020)Evaluation of automated techniques for the quantification of grey matter atrophy in patients with multiple sclerosis., , , , , , , and . NeuroImage, 52 (4): 1261-1267 (2010)Automated separation of diffusely abnormal white matter from focal white matter lesions on MRI in multiple sclerosis., , , , , and . NeuroImage, (2020)