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Mapping registration sensitivity in MR mouse brain images., , , , and . NeuroImage, (2013)The impact of the Siemens Tim Trio to Prisma upgrade and the addition of volumetric navigators on cortical thickness, structure volume, and 1H-MRS indices: An MRI reliability study with implications for longitudinal study designs., , , , , , , , , and 3 other author(s). NeuroImage, (2021)BIDS apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods., , , , , , , , , and 19 other author(s). PLoS Comput. Biol., (2017)Hippocampal subfield volumes across the healthy lifespan and the effects of MR sequence on estimates., , , , , , , , , and 3 other author(s). NeuroImage, (2021)Embracing diversity and inclusivity in an academic setting: Insights from the Organization for Human Brain Mapping., , , , , , , , , and 8 other author(s). NeuroImage, (2021)Neurite density from magnetic resonance diffusion measurements at ultrahigh field: Comparison with light microscopy and electron microscopy., , , , , , , , , and . NeuroImage, 49 (1): 205-216 (2010)Toward defining deep brain stimulation targets in MNI space: A subcortical atlas based on multimodal MRI, histology and structural connectivity., , , , , , , and . NeuroImage, (2018)Pydpiper: a flexible toolkit for constructing novel registration pipelines., , , , and . Frontiers Neuroinformatics, (2014)Heritability estimates of cortical anatomy: The influence and reliability of different estimation strategies., , , , , and . NeuroImage, (2018)Inter- and intra-individual variation in brain structural-cognition relationships in aging., , , , , , , , , and 1 other author(s). NeuroImage, (2022)