Author

Neda Haj‐Hosseini

Linköping UniversityORCID 0000-0002-0555-8877Unclaimed 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· 1 Approach:deep learning· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

Alia ShamikhiD· 1 shared Christoforos SpyretosiD· 1 shared Iulian Emil TampuiD· 1 shared Joakim LindbladiD· 1 shared Per Olof NymaniD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 10 mutual co-author links

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1 shared paperPathology

Alia ShamikhORCID

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1 paper

Recent·Most cited

PathologybioRxivPreprintSep 23, 2026

Multi-Stain Fusion of Histopathology Images Using Deep Learning for Pediatric Brain Tumor Classification

Christoforos Spyretos, Iulian Emil Tampu, Per Olof Nyman…·Neda Haj‐Hosseini

This study uses deep learning to classify pediatric brain tumors using H&E and Ki-67 images, finding that multi-stain fusion improves classification accuracy compared to single-stain models.

DOI 10.64898/2026.04.10.717785

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