Author

Ramya Alugam

Nizam's Institute of Medical Sciences

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Pathology· 1

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Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Assay:imaging· 1 Assay:spatial transcriptomics· 1

Frequent Co-Authors

Megha S. Uppin· 1 shared Nameeta ShahiD· 1 shared Pranali SonpatkiiD· 1 shared Shashank Gupta· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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1 shared paperPathology

Megha S. Uppin

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1 paper

Recent·Most cited

Cross-Modal Training Using Xenium Spatial Transcriptomics Enables DINO-DETR Based Detection of Vascular Niches in H&E Whole-Slide Images

Pranali Sonpatki, Ramya Alugam, Shashank Gupta, Nameeta Shah, Megha S. Uppin

This paper develops a DINO-DETR model trained on spatial transcriptomics data to detect vascular niches in H&E slides, showing improved vascular quantification and prognostic value in astrocytoma.

bioRxiv · Mar 19, 2026 · PreprintPathology