Author

Kelvin Kuang

Boston University

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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Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

Arash YazdanbakhshiD· 1 shared Basilis ZikopoulosiD· 1 shared Kim T. M. Dang· 1 shared Songlin XieiD· 1 shared Tingru Lian· 1 shared Xuefeng LiuiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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1 shared paperNeuroscience

Arash YazdanbakhshORCID

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1 paper

Recent·Most cited

Artificial intelligence networks combining histopathology and machine learning can extract axon pathology in autism spectrum disorder

Arash Yazdanbakhsh, Kim T. M. Dang, Kelvin Kuang, Tingru Lian, Xuefeng Liu, Songlin Xie, Basilis Zikopoulos

The paper develops an AI model that classifies white matter regions in ASD and CTR brains with high accuracy, highlighting axon pathology differences.

Autism Research · Nov 1, 2025Peer-reviewedNeuroscience