Author

Yanling Liu

Frederick National Laboratory for Cancer ResearchORCID 0000-0002-5173-2426Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Yanling Liu2 papers · National Institute of Allergy and Infectious Diseases

Biology Disciplines

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Bioinformatics· 1 Pathology· 1

Signature Assays, Organisms & Methods

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Assay:imaging· 2 Approach:deep learning· 1 Research Focus:imputation· 1

Frequent Co-Authors

Clint Tanner AlleniD· 1 shared Eric Yi· 1 shared Faisal MahmoodiD· 1 shared George ZakiiD· 1 shared Houssein Abdul SateriD· 1 shared James L. GulleyiD· 1 shared Julius StraussiD· 1 shared Kenneth Canubas· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperPathology

Clint Tanner AllenORCID

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2 papers

Recent·Most cited

PathologybioRxivPreprintNov 21, 2023

Deep Learning Model Imputes Missing Stains in Multiplex Images

Muhammad Shaban, Wiem Lassoued, Kenneth Canubas…·Houssein Abdul Sater

The paper introduces a deep learning model, MAXIM, to impute missing protein markers in multiplex images, improving efficiency in staining and imaging processes.

6 citations

imagingdeep learning

𝕏 PostBluesky

BioinformaticsbioRxivPreprintNov 12, 2020

A pilot exploratory study of the potentials of deep learning methods in cancer image segmentation and classification

Eric Yi, Yanling Liu

The paper does not provide substantive content as the authors have withdrawn the manuscript due to data-sharing issues.

1 citation

𝕏 PostBluesky