Author

S.-M. Hong

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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Pathology· 3 Cancer Biology· 2

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 5 Organism:human· 4 Approach:deep learning· 3 Assay:imaging· 3 Research Focus:spatial domain detection· 3 Assay:bulk RNA-seq· 2 Approach:microscopy & imaging analysis· 2 Research Focus:clustering· 1

Frequent Co-Authors

R. H. Hruban· 4 shared A. L. Kiemen· 2 shared A. M. Braxton· 2 shared D. Wirtz· 2 shared J. Shin· 2 shared L. D. Wood· 2 shared P.-H. Wu· 2 shared A. C. Jiang· 1 shared

Activity by Year

2020-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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4 shared papersPathology

R. H. Hruban

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Author profile →

5 papers

Recent·Most cited

Explainable Multimodal Prognostic Modeling Uncovers New Clinically Relevant Pathological Features in a Multi-Institutional Pancreatic Neuroendocrine Tumor Cohort

A. Sivasubramanian, M. Salimian, J. R. Vennapusa, L. Dequiedt, Y. Shen, V. Matos Romero, Y. Zhu, U.-A. Ebong, Z. Gaillard, I. Reucroft, H.-N. Yun, S.-M. Hong, J. Shin, A. Kasajima, G. Klöppel, , Ashley L Kiemen

This paper develops a multimodal prognostic model for pancreatic neuroendocrine tumors using clinicopathologic data and histology images, finding that stromal features are as prognostic as tumor cells.

bioRxiv · Nov 4, 2026 · PreprintPathology

Three-dimensional assessments are necessary to determine the true, spatially-resolved composition of tissues

A. Forjaz, E. Vaz, V. M. Romero, S. Joshi, A. M. Braxton, A. C. Jiang, K. Fujikura, T. Cornish, S.-M. Hong, R. H. Hruban, P.-H. Wu, L. D. Wood, A. L. Kiemen, D. Wirtz

This study shows that 3D assessments are necessary to accurately determine tissue composition and neoplastic content, as 2D methods under-sample spatial heterogeneity.

bioRxiv · Dec 4, 2023Cancer Biology

Open-top Bessel beam two-photon light sheet microscopy for three-dimensional pathology

W. Y. Park, J. Yun, J. Shin, B. H. Oh, G. Yoon, S.-M. Hong, K. H. Kim

This paper introduces OT-TP-LSM for 3D pathology, achieving high imaging depths and enabling virtual H&E image generation via deep learning.

bioRxiv · Oct 18, 2023Pathology

In situ characterization of the 3D microanatomy of the pancreas and pancreatic cancer at single cell resolution

A. L. Kiemen, A. M. Braxton, M. P. Grahn, K. S. Han, J. Mahesh Babu, R. Reichel, F. Amoa, S.-M. Hong, T. C. Cornish, E. D. Thompson, L. D. Wood, R. H. Hruban, P.-H. Wu, D. Wirtz

The paper develops a method to reconstruct 3D pancreatic tissue at single-cell resolution and maps cancer invasion modes in the tumor microenvironment.

bioRxiv · Dec 8, 2020Cancer Biology

Multiscale label-free volumetric holographic histopathology of thick-tissue slides with subcellular resolution

H. Hugonnet, Y. W. Kim, M. Lee, S. Shin, R. H. Hruban, S.-M. Hong, Y. Park

This paper introduces a label-free volumetric imaging technique for thick-tissue slides with subcellular resolution, demonstrating its ability to visualize various tumor types and pathologies.

bioRxiv · Jul 15, 2020Pathology