Author

Shouyi Li

University of Southern CaliforniaORCID 0000-0002-2067-2176Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Cancer Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

Amin NaghdlooiD· 1 shared Assad A. OberaiiD· 1 shared Brian ZhangiD· 1 shared Dean TessoneiD· 1 shared James B HicksiD· 1 shared Jeffrey Kang· 1 shared Peter KühniD· 1 shared Rajiv M. Nagaraju· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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1 shared paperCancer Biology

Amin NaghdlooORCID

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1 paper

Recent·Most cited

Contrastive Representation Learning for Single Cell Phenotyping in Whole Slide Imaging of Enrichment-free Liquid Biopsy

Amin Naghdloo, Dean Tessone, Rajiv M. Nagaraju, Brian Zhang, Jeffrey Kang, Shouyi Li, Assad A. Oberai, James B Hicks, Peter Kühn

This paper introduces a contrastive learning framework for single-cell phenotyping in whole slide imaging of liquid biopsy samples, achieving high accuracy and enabling automated identification of rare cell phenotypes.

bioRxiv · May 21, 2025 · PreprintCancer Biology