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the CCNA groups

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Neuroscience· 1

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Research Focus:benchmarking· 1 Research Focus:dimensionality reduction· 1 Organism:human· 1 Assay:imaging· 1 Approach:statistical model· 1

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Louis Dieumegarde· 1 shared Olivier PotviniD· 1 shared Simon DuchesneiD· 1 shared the Alzheimer’s Disease Neuroimaging Initiative· 1 shared the CIMA-Q· 1 shared

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2021-2021 · peak 1/yr

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1 shared paperNeuroscience

Louis Dieumegarde

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Recent·Most cited

NOMIS: Quantifying morphometric deviations from normality over the lifetime of the adult human brain

Olivier Potvin, Louis Dieumegarde, Simon Duchesne, the Alzheimer’s Disease Neuroimaging Initiative, the CIMA-Q, the CCNA groups

NOMIS quantifies morphometric deviations from normality in adult human brains using MRI data, providing Z-scores adjusted for age, sex, and image quality across 6,909 individuals.

bioRxiv · Jan 25, 2021 · PreprintNeuroscience