Author

Sundeep Chakladar

Washington University in St. LouisORCID 0000-0001-5123-1421Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Assay:imaging· 1 Organism:mouse· 1 Assay:multiome· 1 Organism:rat· 1

Frequent Co-Authors

Annie Zhao· 1 shared Arash NazeriiD· 1 shared Grace L. Halupnik· 1 shared James D. QuirkiD· 1 shared Jennifer Mae StrahleiD· 1 shared Maneesha Pandey· 1 shared Moe R. MahjoubiD· 1 shared Owen W. Limbrick· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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9 top collaborators · 36 mutual co-author links

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1 shared paperNeuroscience

Annie Zhao

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1 paper

Recent·Most cited

NeuroscienceNeuroImagePeer-reviewedJul 10, 2026

Automated Ventricle Assessment via Three-dimensional Anatomical Reconstruction (AVA-TAR): a computational toolkit for autonomous lateral ventricle assessment in preclinical hydrocephalus models

Sundeep Chakladar, Shelei Pan, Owen W. Limbrick…·Jennifer Mae Strahle

This paper develops a deep learning tool for automated segmentation and morphological analysis of lateral ventricles in rodent MRIs, achieving high accuracy and correlation with manual measurements.

DOI 10.1016/j.neuroimage.2026.122124

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