Author

Pushkar Ambastha

Indian Institute of Technology Guwahati

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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Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Assay:imaging· 1 Organism:non-human primate· 1

Frequent Co-Authors

Douglas H. SmithiD· 1 shared Drew ParkeriD· 1 shared Hailong SongiD· 1 shared Javid DadashkarimiiD· 1 shared Jean-Pierre DolléiD· 1 shared John A. WolfiD· 1 shared Ragini VermaiD· 1 shared Ramon Diaz-Arrastia· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperNeuroscience

Douglas H. SmithORCID

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1 paper

Recent·Most cited

PIGMENT: A deep learning framework for Porcine Immunohistochemistry seGMENTation

Pushkar Ambastha, Javid Dadashkarimi, Sai Krishna C Annavazala, Drew Parker, Ramon Diaz-Arrastia, Hailong Song, Rebecca Donahue, Douglas H. Smith, Jean-Pierre Dollé, Victoria E. Johnson, John A. Wolf, Ragini Verma

PIGMENT is a deep learning framework that automates the segmentation and quantification of APP-positive pathology in porcine white matter histology, achieving high detection rates with limited expert annotations.

bioRxiv · Jun 29, 2026 · PreprintNeuroscience