Author

Satyender Dharamdasani

Post Graduate Institute of Medical Education and Research

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· 2

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Approach:deep learning· 2 Organism:human· 2 Assay:imaging· 2

Frequent Co-Authors

Praveen Sharma· 2 shared Sukrit GuptaiD· 2 shared Anilpreet Singh· 1 shared Dheeraj ChinnamiD· 1 shared Panav Raina· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

5 top collaborators · 8 mutual co-author links

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2 shared papersPathology

Praveen Sharma

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2 papers

Recent·Most cited

BoMBR: An Annotated Bone Marrow Biopsy Dataset for Segmentation of Reticulin Fibers

Panav Raina, Satyender Dharamdasani, Dheeraj Chinnam, Praveen Sharma, Sukrit Gupta

The paper introduces BoMBR, a dataset of 201 annotated bone marrow biopsy images for reticulin fiber segmentation, and demonstrates a deep learning model achieving high accuracy in reticulin quantification and marrow fibrosis grading.

The Journal of Machine Learning for Biomedical Imaging · Dec 31, 2025Peer-reviewedPathology

BaMBo: An Annotated Bone Marrow Biopsy Dataset for Segmentation Task

Anilpreet Singh, Satyender Dharamdasani, Praveen Sharma, Sukrit Gupta

The paper introduces BaMBo, a bone marrow biopsy dataset for automated cellularity calculation, and presents a U-Net model achieving 83.1% Dice score and 5.9% cellularity prediction error.

The Journal of Machine Learning for Biomedical Imaging · Dec 31, 2025Peer-reviewedPathology