Author

Maneesha Pandey

Washington University in St. Louis

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Neuroscience· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

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 Moe R. MahjoubiD· 1 shared Owen W. Limbrick· 1 shared Shelei PaniD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperNeuroscience

Annie Zhao

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

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, Maneesha Pandey, Grace L. Halupnik, Annie Zhao, Moe R. Mahjoub, James D. Quirk, Arash Nazeri, 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.

NeuroImage · Jul 10, 2026Peer-reviewedNeuroscience