Author

T. Dicker

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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Immunology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

A. Bart· 1 shared A. Debby· 1 shared A. Gutwillig· 1 shared B. Arbiv· 1 shared E. Markovits· 1 shared G. Ben-Betzalel· 1 shared I. Barshack· 1 shared I. Weiss· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperImmunology

A. Bart

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1 paper

Recent·Most cited

A novel deep learning pipeline for cell typing and phenotypic marker quantification in multiplex imaging

E. Markovits, T. Dankovich, R. Gluskin, I. Weiss, A. Gutwillig, T. Dicker, S. Dagan, R. Elran, B. Arbiv, Y. Shachaf, A. Bart, A. Debby, N. Asher, G. Ben-Betzalel, R. Shapira-Frommer, , O. Zelichov

This paper introduces a deep learning pipeline for cell typing and phenotypic marker quantification in multiplex imaging, achieving high accuracy across different tumor types and imaging modalities.

bioRxiv · Nov 9, 2022 · PreprintImmunology