Author

Mohanasankar Sivaprakasam

Indian Institute of Technology MadrasORCID 0000-0002-6714-9147Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 3

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Approach:experimental assay· 2 Organism:human· 2 Assay:imaging· 2 Assay:spatial transcriptomics· 2 Research Focus:database / resource· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1

Frequent Co-Authors

Jaikishan JayakumariD· 2 shared Keerthi RamiD· 2 shared Mihail BotaiD· 2 shared Partha P. MitraiD· 2 shared Richa VermaiD· 2 shared Samik BanerjeeiD· 2 shared Supriti MulayiD· 2 shared A.S.T. Aditya Bharg· 1 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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2 shared papersNeuroscience

Jaikishan JayakumarORCID

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Author profile →

3 papers

Recent·Most cited

ANCHOR : Atlas of Neurochemical Characterization of the Human Brainstem with 3D Reconstruction

Mihail Bota, Soundharya Venkatesh, Shevani Arun Arunesh, Nagajothi Ganesan, Supriti Mulay, Karan Ramana Gopi, Sruti Rekha Muni, Shrimathi Mani, Chrisline Sam C, A.S.T. Aditya Bharg, Vinoth Kanna, Rajeswaran Rangaswami, S. Lata, E. Harish kumar, S. Suresh, , Mohanasankar Sivaprakasam

ANCHOR provides a detailed human brainstem atlas across three age groups with neurochemical characterization and 3D reconstruction.

bioRxiv · Jun 22, 2026 · PreprintNeuroscience

A three-dimensional histological cell atlas of the developing human brain

Jaikishan Jayakumar, Mohanasankar Sivaprakasam, Richa Verma, Mihail Bota, Jayaraj Joseph, Supriti Mulay, Jayaraman Kumutha, Chitra Srinivasan, Suresh Seshadri, S. Latha, Harish E Kumar, Aparna Bhaduri, Tomasz Jan Nowakowski, Prasun K. Roy, Stephen Savoia, , Partha P. Mitra

This study creates a 3D histological cell atlas of the developing human brain, providing detailed cell counts, proliferative dynamics, and cell type distribution at 13-14 and 20-21 gestational weeks.

bioRxiv · Dec 17, 2024 · PreprintNeuroscience

Semantic segmentation of microscopic neuroanatomical data by combining topological priors with encoder-decoder deep networks

Samik Banerjee, Lucas Magee, Dingkang Wang, Xu Li, Bing‐Xing Huo, Jaikishan Jayakumar, Katherine S. Matho, Mengkuan Lin, Keerthi Ram, Mohanasankar Sivaprakasam, Z. Josh Huang, Yusu Wang, Partha P. Mitra

The paper introduces a hybrid deep learning architecture combining topological priors with encoder-decoder networks to improve semantic segmentation of neuroanatomical data with high precision and recall.

Nature Machine Intelligence · Sep 28, 2020Peer-reviewedNeuroscience