Author

Joel Selvaraj

University of MissouriORCID 0000-0003-0068-3262Unclaimed 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-cell communication· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Assay:imaging· 1 Research Focus:spatial domain detection· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Jianlin Jack ChengiD· 2 shared Liguo WangiD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

2 top collaborators · 1 mutual co-author link

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2 shared papersBioinformatics

Jianlin Jack ChengORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintNov 23, 2025

ETSAM: Effectively Segmenting Cell Membranes in cryo-Electron Tomograms

Joel Selvaraj, Jianlin Jack Cheng

ETSAM is a fine-tuned AI method for segmenting cell membranes in cryo-ET tomograms, achieving state-of-the-art performance on an independent test set.

DOI 10.1101/2025.11.23.689996

imagingdeep learning

𝕏 PostBluesky

BioinformaticsBioinformaticsPeer-reviewedFeb 25, 2025

CryoTEN: Efficiently Enhancing Cryo-EM DensityMaps Using Transformers

Joel Selvaraj, Liguo Wang, Jianlin Jack Cheng

CryoTEN improves cryo-EM density maps using a transformer-based model, achieving better quality and faster performance than existing methods.

13 citations

transformer / foundation model

𝕏 PostBluesky