Author

Kenevan Carter

University of Minnesota

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

Alice M. GrahamiD· 1 shared Amanda RueteriD· 1 shared Anders J. PerroneiD· 1 shared Anurima MummaneniiD· 1 shared Begim FayzullobekovaiD· 1 shared Brad Bower· 1 shared Christopher D. SmyseriD· 1 shared Damien A. FairiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperNeuroscience

Alice M. GrahamORCID

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Author profile →

1 paper

Recent·Most cited

BIBSNet: A Deep Learning Baby Image Brain Segmentation Network for MRI Scans

Timothy John Hendrickson, Paul Reiners, Lucille A. Moore, Jacob T. Lundquist, Begim Fayzullobekova, Anders J. Perrone, Erik G. Lee, Julia Moser, Trevor K. M. Day, Dimitrios Alexopoulos, Martin Andreas Styner, Omid Kardan, Taylor A. Chamberlain, Anurima Mummaneni, Henrique A. Caldas, , Eric Feczko

BIBSNet is a deep learning model for infant brain segmentation in MRI scans that outperforms JLF in accuracy and speed, with compatible outputs for further analysis.

Developmental Cognitive Neuroscience · Mar 9, 2026Peer-reviewedNeuroscience