Author

Francesca Mapua Filbey

The University of Texas at DallasORCID 0000-0002-7466-4796Unclaimed 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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Organism:human· 2 Approach:machine learning (classical)· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Assay:imaging· 1

Frequent Co-Authors

Kaustubh R. KulkarniiD· 2 shared Matthew HefliniD· 2 shared Vincenzo G. FioreiD· 2 shared Xiaosi GuiD· 2 shared Ayaka KatoiD· 1 shared Daniela SchilleriD· 1 shared Gaurav Shankar PandeyiD· 1 shared Kent E. HutchisoniD· 1 shared

Activity by Year

2021-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 40 mutual co-author links

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2 shared papersNeuroscience

Kaustubh R. KulkarniORCID

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2 papers

Recent·Most cited

NeurosciencebioRxivPreprintOct 24, 2025

Multi-Class Classification of Cannabis and Alcohol Use Disorder: Identifying Common and Substance-Specific Neural Circuits.

Ayaka Kato, Kaustubh R. Kulkarni, Nikash R Das…·Xiaosi Gu

This paper develops a multiclass classification framework to identify shared and substance-specific neural circuits in cannabis and alcohol use disorder using functional connectivity features from cue-induced craving tasks.

DOI 10.1101/2025.10.24.684424

humanmachine learning (classical)

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NeurosciencebioRxivPreprintMay 4, 2021

An interpretable connectivity-based decoding model for classification of chronic marijuana use

Kaustubh R. Kulkarni, Matthew Schafer, Laura A. Berner…·Xiaosi Gu

This paper develops an interpretable decoding model using functional connectivity to classify chronic marijuana users and non-users with high accuracy.

1 citation

humanimaging

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