Author

Arpan Mahapatra

Purdue University West Lafayette

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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Pathology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:contrastive learning· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Abigail D. CoxiD· 1 shared Abigail English· 1 shared Aditya MalusareiD· 1 shared Ananth Y. GramaiD· 1 shared Deborah W. KnappiD· 1 shared Deepika DhawaniD· 1 shared Grant N. BurchamiD· 1 shared Luopin WangiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperPathology

Abigail D. CoxORCID

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1 paper

Recent·Most cited

AnnotateAnyCell: Open-Source AI Framework for Efficient Annotation in Digital Pathology

Shourya Verma, Aditya Malusare, Mengbo Wang, Luopin Wang, Arpan Mahapatra, Abigail English, Abigail D. Cox, Meaghan Maureen Broman, Simone de Brot, Grant N. Burcham, Deborah W. Knapp, Deepika Dhawan, Mario Sola, Vaneet Aggarwal, Ananth Y. Grama, Nadia A. Lanman

AnnotateAnyCell reduces annotation time for histopathological images by 25% using a semi-supervised framework with active contrastive learning and human-in-the-loop feedback.

bioRxiv · Nov 2, 2025 · PreprintPathology