Author

Anton Orlichenko

Tulane UniversityORCID 0000-0001-7870-4970Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Organism:human· 1 Assay:imaging· 1 Approach:statistical model· 1 Approach:variational autoencoder· 1

Frequent Co-Authors

Gang QuiD· 2 shared Julia M. StepheniD· 2 shared Tony W. WilsoniD· 2 shared Vince D. CalhouniD· 2 shared Zhengming DingiD· 2 shared Anqi LiuiD· 1 shared Gemeng ZhangiD· 1 shared Hong‐Wen DengiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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2 shared papersBioengineering

Gang QuORCID

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2 papers

Recent·Most cited

BioengineeringbioRxivPreprintMay 19, 2026

Modeling Complex Effects and Individual Variability in Multi-Paradigm fMRI with Nonlinear Mixed Models

Xiaoxuan Li, Gemeng Zhang, Gang Qu…·Ying Wang

This paper introduces a nonlinear mixed model (NMM) for fMRI analysis to better capture nonlinear relationships and individual variability, showing improved model fit compared to linear models.

DOI 10.64898/2026.05.16.725673

humanimaging

𝕏 PostBluesky

NeurosciencebioRxivPreprintMay 16, 2024

A Demographic-Conditioned Variational Autoencoder for fMRI Distribution Sampling and Removal of Confounds

Anton Orlichenko, Gang Qu, Ziyu Zhou…·Yu-Ping Wang

This paper introduces DemoVAE, a variational autoencoder that generates synthetic fMRI data conditioned on demographics and removes demographic confounds from fMRI features.

DOI 10.1101/2024.05.16.594528

variational autoencoder

𝕏 PostBluesky