Author

Yi Ban

NYU Langone Health

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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Cancer Biology· 2

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Approach:deep learning· 2 Organism:human· 2 Assay:imaging· 2 Research Focus:cell-cell communication· 1 Research Focus:differential expression· 1 Research Focus:spatial domain detection· 1 Assay:spatial transcriptomics· 1

Frequent Co-Authors

Aristotelis TsirigosiD· 2 shared Hortense LeiD· 2 shared Jimin TaniD· 2 shared Andre Luis MoreiraiD· 1 shared Benjamin G. NeeliD· 1 shared Bo XiaiD· 1 shared Cynthia A. LoomisiD· 1 shared Danielle Share· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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2 shared papersCancer Biology

Aristotelis TsirigosORCID

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2 papers

Recent·Most cited

A multi-scale segmentation-free self-supervised AI model to characterize the heterogeneity of the brain tumor microenvironment

Sam Sterling, Jimin Tan, Hortense Le, Danielle Share, Yi Ban, Matija Snuderl, Aristotelis Tsirigos

This paper introduces a segmentation-free self-supervised AI model to analyze brain tumor microenvironments, identifying a novel tumor-associated B cell subset linked to improved survival.

bioRxiv · Feb 20, 2025 · PreprintCancer Biology

Characterization of tumor heterogeneity through segmentation-free representation learning

Jimin Tan, Hortense Le, Jiehui Deng, Yingzhuo Liu, Yuan Hao, Michelle Hollenberg, Wenke Liu, Joshua M. Wang, Bo Xia, Sitharam Ramaswami, Valeria Mezzano, Cynthia A. Loomis, Nina Murrell, Andre Luis Moreira, Kyunghyun Cho, , David Fenyö

The paper introduces a segmentation-free vision transformer, CANVAS, to discover and characterize tumor microenvironment signatures from high-dimensional multiplexed images, identifying a monocytic signature linked to poor prognosis.

Nature Biomedical Engineering · Feb 20, 2025Peer-reviewedCancer Biology