Author

Emily Oei

Boston University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Organism:human· 1 Assay:imaging· 1 Organism:mouse· 1

Frequent Co-Authors

Anqi ZouiD· 1 shared Chao ZhangiD· 1 shared Florencia Rojas-Miguez· 1 shared Hongying Yang· 1 shared Hui A. CheniD· 1 shared Jiayi JiiD· 1 shared Joel HendersoniD· 1 shared Laura Dodd· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Anqi ZouORCID

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1 paper

Recent·Most cited

Deep Learning Enables Automated Segmentation and Quantification of Ultrastructure from Transmission Electron Microscopy Images

Anqi Zou, Winston Tan, Jiayi Ji, Florencia Rojas-Miguez, Laura Dodd, Emily Oei, Sarah R. Vargas, Stephen P. Berasi, Hongying Yang, Hui A. Chen, Joel Henderson, Xueping Fan, Weining Lu, Chao Zhang

This paper introduces TEAMKidney, a deep learning framework for automated segmentation and quantification of TEM images, showing improved accuracy and efficiency over existing methods.

bioRxiv · Nov 5, 2025 · PreprintBioinformatics