Author

Hans C Breiter

Northwestern University

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Neuroscience· 1

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Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:graph neural network· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

Aggelos K. KatsaggelosiD· 1 shared Emanuel A. AzconaiD· 1 shared Pierre BessoniD· 1 shared S. Kathleen BandtiD· 1 shared Todd B. ParrishiD· 1 shared Yunan WuiD· 1 shared

Activity by Year

2020-2020 · peak 1/yr

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6 top collaborators · 15 mutual co-author links

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1 shared paperNeuroscience

Aggelos K. KatsaggelosORCID

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1 paper

Recent·Most cited

Novel age-dependent cortico-subcortical morphologic interactions predict fluid intelligence: A multi-cohort geometric deep learning study.

Yunan Wu, Pierre Besson, Emanuel A. Azcona, S. Kathleen Bandt, Todd B. Parrish, Hans C Breiter, Aggelos K. Katsaggelos

This study uses geometric deep learning to predict fluid intelligence from brain morphology across two cohorts, finding that amygdala, hippocampus, and specific cortical regions are key predictors.

bioRxiv · Oct 14, 2020 · PreprintNeuroscience