Author

Chunhui Yang

Washington University in St. LouisORCID 0000-0002-3012-4501Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Organism:human· 2 Assay:imaging· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:database / resource· 1 Research Focus:dimensionality reduction· 1

Frequent Co-Authors

David C. Van EsseniD· 2 shared Matthew F. GlasseriD· 2 shared Timothy S. CoalsoniD· 2 shared Janine Diane BijsterboschiD· 1 shared Seyedeh-Rezvan FarahibozorgiD· 1 shared Stephen M. SmithiD· 1 shared Yübo WangiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 18 mutual co-author links

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2 shared papersNeuroscience

David C. Van EssenORCID

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2 papers

Recent·Most cited

DRUMS - A Flexible New Deep Learning Tool for Precise Cortical Surface Alignment across Individuals

Yübo Wang, Timothy S. Coalson, Chunhui Yang, David C. Van Essen, Matthew F. Glasser

DRUMS improves cortical surface alignment by using deep learning with multimodal supervision, outperforming existing methods in accuracy and reproducibility.

bioRxiv · Sep 6, 2026 · PreprintNeuroscience

Automatic Individual Cortical Parcellation for the Human Connectome Project

Chunhui Yang, Timothy S. Coalson, Seyedeh-Rezvan Farahibozorg, Janine Diane Bijsterbosch, Stephen M. Smith, David C. Van Essen, Matthew F. Glasser

This paper introduces an automated individual cortical parcellation method using a novel weakly supervised classifier, improving performance over previous models and identifying new atypical language-related brain areas.

bioRxiv · Apr 29, 2025 · PreprintNeuroscience