Author

Mary McDonnell

Oregon Health & Science 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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Systems Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Assay:imaging· 1

Frequent Co-Authors

Brett JohnsoniD· 1 shared Christian Lanciault· 1 shared Christopher L. CorlessiD· 1 shared Erik A. BurlingameiD· 1 shared Geoffrey F. SchauiD· 1 shared Guillaume ThibaultiD· 1 shared Joe W. GrayiD· 1 shared Terry K. MorganiD· 1 shared

Activity by Year

2020-2020 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

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1 shared paperSystems Biology

Brett JohnsonORCID

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1 paper

Recent·Most cited

SHIFT: speedy histological-to-immunofluorescent translation of whole slide images enabled by deep learning

Erik A. Burlingame, Mary McDonnell, Geoffrey F. Schau, Guillaume Thibault, Christian Lanciault, Terry K. Morgan, Brett Johnson, Christopher L. Corless, Joe W. Gray, Young Hwan Chang

This paper introduces a deep learning method called SHIFT that translates histological images into virtual immunofluorescence images, improving efficiency and reducing costs in cancer diagnostics.

Scientific Reports · Oct 15, 2020Peer-reviewedSystems Biology