Author

Ido Livneh

Rambam Health Care CampusORCID 0000-0001-5530-7964Unclaimed 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 Approach:deep learning· 2 Assay:imaging· 2 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Research Focus:dimensionality reduction· 1 Organism:human· 1 Organism:mouse· 1

Frequent Co-Authors

Anas OdehiD· 2 shared Ariel Shemesh· 2 shared Maher Abu SalehiD· 2 shared Peleg HassoniD· 2 shared Polina SteiniD· 2 shared Adi Raz· 1 shared Hadas Achildiev CoheniD· 1 shared Haguy WolfensoniD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersPathology

Anas OdehORCID

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2 papers

Recent·Most cited

PathologybioRxivPreprintAug 21, 2026

An AI-assisted platform for quantitative histopathological analysis in interstitial lung disease

Ido Mizrahi, Yuanning Guo, Jiayu He…·Anas Odeh

FibroSight is a deep learning platform that quantifies lung remodeling in ILD histology, showing strong correlation with expert scoring and distinguishing fibrotic from inflammatory changes.

DOI 10.64898/2026.08.16.745078

mousehuman

𝕏 PostBluesky

PathologySkeletal MusclePeer-reviewedJan 26, 2026

FibroTrack: A Standalone Deep Learning Platform for Automated Fibrosis Quantification in Muscle and Cardiac Histology

Anas Odeh, Rahaf Salem, Maher Abu Saleh…·Peleg Hasson

FibroTrack automates fibrosis quantification in muscle and cardiac histology using deep learning, achieving high precision and agreement with pathologists.

5 citationstop 1%

imagingdeep learning

𝕏 PostBluesky