Author

Yao Lee

University of MichiganORCID 0000-0003-0408-4654Unclaimed 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:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Organism:human· 1 Assay:imaging· 1 Approach:statistical model· 1

Frequent Co-Authors

Beikang Gu· 1 shared Galit H. FrydmaniD· 1 shared He LiiD· 1 shared Mengjia XuiD· 1 shared Subhadeep SenguptaiD· 1 shared Suqiang MaiD· 1 shared Xianqiao WangiD· 1 shared Xianyan CheniD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

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1 shared paperBioinformatics

Beikang Gu

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1 paper

Recent·Most cited

BioinformaticsEngineering Applications of Artificial IntelligencePeer-reviewedDec 3, 2025

Automatic Classification of Circulating Blood Cell Clusters based on Multi-channel Flow Cytometry Imaging

Suqiang Ma, Subhadeep Sengupta, Yao Lee…·He Li

This study introduces a framework for automatically classifying circulating blood cell clusters using flow cytometry images, achieving over 95% accuracy in cluster classification and phenotype identification.

1 citation

humanimaging

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