Author

Sarit Aviel‐Ronen

Ariel UniversityORCID 0000-0002-9660-7979Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Organism:human· 2 Assay:imaging· 2 Research Focus:clustering· 1 Approach:deep learning· 1 Approach:machine learning (classical)· 1 Research Focus:spatial domain detection· 1 Approach:statistical model· 1

Frequent Co-Authors

Alex Loebel· 1 shared Amir Ben‐Dor· 1 shared Anya Tsalenko· 1 shared Coral Teper· 1 shared Daniela Rabkin· 1 shared Elad Arbel· 1 shared Frederik Aidt· 1 shared Gilad AltshuleriD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperPathology

Alex Loebel

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2 papers

Recent·Most cited

Multi-scale histology reveals localized ageing signatures in normal human colon

Gilad Altshuler, Coral Teper, Yoash Barak, Sarit Aviel‐Ronen, Alex Loebel, Iris Barshack

This paper uses multi-scale histology to identify localized age-related changes in normal human colon tissue using H&E images and machine learning.

bioRxiv · Oct 24, 2026 · PreprintPathology

Quantification of HER2-low and ultra-low expression in breast cancer specimens by quantitative IHC and artificial intelligence

Frederik Aidt, Elad Arbel, Itay Remer, Oded Ben-David, Amir Ben‐Dor, Daniela Rabkin, Kirsten Damgaard Hoff, Karin Salomon, Sarit Aviel‐Ronen, Gitte Nielsen, Jens Mollerup, Lars Jacobsen, Anya Tsalenko

This paper develops qIHC and AI-based methods to quantify HER2 expression in breast cancer, showing significant differences between IHC categories and high spatial heterogeneity.

Journal of Pathology Informatics · Aug 26, 2025Peer-reviewedPathology