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Estimation of brain age delta from brain imaging.

Journal article

Smith SM. et al, (2019), Neuroimage, 200, 528 - 539

Discovering markers of healthy aging: a prospective study in a Danish male birth cohort.

Journal article

Zarnani K. et al, (2019), Aging (Albany NY), 11, 5943 - 5974

Towards algorithmic analytics for large-scale datasets

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Bzdok D. et al, (2019), Nature Machine Intelligence, 1, 296 - 306

Hippocampal volume across age: Nomograms derived from over 19,700 people in UK Biobank

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Nobis L. et al, (2019), NeuroImage: Clinical, 23

The spatial correspondence and genetic influence of interhemispheric connectivity with white matter microstructure

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Mollink J. et al, (2019), Nature Neuroscience, 22, 809 - 819

Classification of temporal ICA components for separating global noise from fMRI data: Reply to Power.

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Glasser MF. et al, (2019), Neuroimage, 197, 435 - 438

Using GPUs to accelerate computational diffusion MRI: From microstructure estimation to tractography and connectomes

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Hernandez-Fernandez M. et al, (2019), NeuroImage, 188, 598 - 615

Spatial parcellations, spectral filtering, and connectivity measures in fMRI: Optimizing for discrimination

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Sala-Llonch R. et al, (2019), Human Brain Mapping, 40, 407 - 419

Automated processing pipeline for neonatal diffusion MRI in the developing Human Connectome Project

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Bastiani M. et al, (2019), NeuroImage, 185, 750 - 763

The Lifespan Human Connectome Project in Aging: An overview

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Bookheimer SY. et al, (2019), NeuroImage, 185, 335 - 348

Using temporal ICA to selectively remove global noise while preserving global signal in functional MRI data

Journal article

Glasser MF. et al, (2018), NeuroImage, 181, 692 - 717

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