Author

K. Keung

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Biology Disciplines

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Pathology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:human· 1 Assay:imaging· 1 Research Focus:spatial domain detection· 1

Frequent Co-Authors

B. Murphy· 1 shared C. Wei· 1 shared C. Xi· 1 shared F. Salem· 1 shared F. Su· 1 shared G. Wong· 1 shared I. A. Rosales· 1 shared K. Banu· 1 shared

Activity by Year

2021-2021 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperPathology

B. Murphy

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1 paper

Recent·Most cited

Deep learning identifies pathological abnormalities predictive of graft loss in kidney transplant biopsies

Z. Yi, F. Salem, M. C. Menon, K. Keung, C. Xi, S. Hultin, M. R. H. A. Rasheed, L. Li, F. Su, Z. Sun, C. Wei, W. Huang, S. Fredericks, Q. Lin, K. Banu, , W. Zhang

This paper develops a deep learning model to quantify pathological features in kidney transplant biopsies, showing improved prediction of graft loss compared to clinical and Banff scores.

bioRxiv · Apr 18, 2021Pathology