Author

S. E. Hwang

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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Pathology· 1

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

A. Hall· 1 shared B. Gusterson· 1 shared C. Maley· 1 shared J. R. Marks· 1 shared L. Hernandez· 1 shared L. King· 1 shared M. Dowsett· 1 shared P. L. Narayanan· 1 shared

Activity by Year

2019-2019 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperPathology

A. Hall

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1 paper

Recent·Most cited

Unmasking the tissue microecology of ductal carcinoma in situ with deep learning

P. L. Narayanan, S. E. A. Raza, A. Hall, J. R. Marks, L. King, R. B. West, L. Hernandez, M. Dowsett, B. Gusterson, C. Maley, S. E. Hwang, Y. Yuan

This paper develops a deep learning pipeline to detect and segment DCIS ducts, revealing that pure DCIS has more TILs but less co-localization with ducts compared to adjacent DCIS.

bioRxiv · Oct 28, 2019Pathology