Author

Zejun Fan

King Abdullah University of Science and TechnologyORCID 0000-0002-9866-853XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Developmental Biology· 1

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 Research Focus:differential expression· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

Aisha SiddiqueiD· 1 shared Arun Pandian ChandrasekaraniD· 1 shared Ismail Mohammed ShakiriD· 1 shared Mengge WangiD· 1 shared Mo LiiD· 1 shared Peter WonkaiD· 1 shared Xuan ZhouiD· 1 shared Yeteng TianiD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperDevelopmental Biology

Aisha SiddiqueORCID

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1 paper

Recent·Most cited

deepBlastoid: A Deep Learning-Based High-Throughput Classifier for Human Blastoids Using Brightfield Images with Confidence Assessment

Zejun Fan, Zhenyu Li, Yiqing Jin, Arun Pandian Chandrasekaran, Ismail Mohammed Shakir, Yingzi Zhang, Aisha Siddique, Mengge Wang, Xuan Zhou, Yeteng Tian, Peter Wonka, Mo Li

deepBlastoid is a deep learning model that classifies human blastoid brightfield images into quality categories with high accuracy and throughput, outperforming human experts in speed while matching their accuracy.

bioRxiv · Dec 5, 2024 · PreprintDevelopmental Biology