Author

Rosie Dutt

Washington University in St. LouisORCID 0000-0002-9887-9513Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Organism:human· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Janine Diane BijsterboschiD· 2 shared Daphne LewiD· 1 shared Deanna M. BarchiD· 1 shared Kayla HannoniD· 1 shared Ruiqi CheniD· 1 shared Ty O. EasleyiD· 1 shared Wei ZhangiD· 1 shared

Activity by Year

2023-2024 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 12 mutual co-author links

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2 shared papersNeuroscience

Janine Diane BijsterboschORCID

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2 papers

Recent·Most cited

NeurosciencePsychological MedicinePeer-reviewedDec 1, 2024

Higher amplitudes of visual networks are associated with trait but not state- depression.

Wei Zhang, Rosie Dutt, Daphne Lew…·Janine Diane Bijsterbosch

The paper identifies higher visual network amplitudes in individuals with trait depression compared to controls, suggesting altered visual processing in those predisposed to depression.

7 citations

humanimaging

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NeuroscienceNeuroimage ReportsPeer-reviewedMar 13, 2023

Population modeling with machine learning can enhance measures of mental health - Open-Data Replication

Ty O. Easley, Ruiqi Chen, Kayla Hannon…·Janine Diane Bijsterbosch

This paper replicates and improves mental health trait predictions using fMRI data through data manipulations like feature expansion and phenotype balancing.

7 citations

machine learning (classical)benchmarking

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