Author

Vidushi Walia

Tata Consultancy Services (India)

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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Bioinformatics· 1 Pathology· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Assay:imaging· 1 Assay:metagenomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Naveen Sivadasan· 2 shared Vangala Govindakrishnan Saipradeep· 2 shared Bhagat Singh LaliiD· 1 shared Dhandapani Nandagopal· 1 shared Rajgopal Srinivasan· 1 shared Sujatha Kotte· 1 shared Thomas JosephiD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 17 mutual co-author links

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2 shared papersPathology

Naveen Sivadasan

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2 papers

Recent·Most cited

Mitosis detection in the wild using detection transformers

Vidushi Walia, Dhandapani Nandagopal, Sujatha Kotte, Vangala Govindakrishnan Saipradeep, Thomas Joseph, Naveen Sivadasan, Bhagat Singh Lali

This paper develops a deep learning model for mitotic figure detection that generalizes across diverse histological regions and tumor types, achieving an F1-score of 0.7769.

Lecture notes in computer science · Jan 1, 2026Peer-reviewedPathology

MAGE: Strain Level Profiling of Metagenome Samples

Vidushi Walia, Vangala Govindakrishnan Saipradeep, Rajgopal Srinivasan, Naveen Sivadasan

MAGE accurately identifies microbial strains and quantifies their abundances using read mapping information without relying on strain-specific markers.

Lecture notes in computer science · Jan 1, 2023Peer-reviewedBioinformatics