Author

Sanghoon Lee

Emory UniversityORCID 0000-0003-2173-6490Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:imaging· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Daniel Jay BratiD· 1 shared David A. GutmaniD· 1 shared Drew F. K. WilliamsoniD· 1 shared Hannah Vitalos· 1 shared Jose Enrique Velazquez Vega· 1 shared Kazi Aminul IslamiD· 1 shared Lee CooperiD· 1 shared Michael Nalisnik· 1 shared

Activity by Year

2017-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Daniel Jay BratORCID

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2 papers

Recent·Most cited

BioinformaticsIEEE AccessPeer-reviewedJan 1, 2024

SN-FPN: Self-attention Nested Feature Pyramid Network for Digital Pathology Image Segmentation

Sanghoon Lee, Kazi Aminul Islam, Sai Chandana Koganti…·Drew F. K. Williamson

The paper introduces a deep learning model for digital pathology image segmentation that outperforms existing methods in tumor and stromal region segmentation.

7 citations

imagingdeep learning

𝕏 PostBluesky

BioinformaticsScientific ReportsPeer-reviewedOct 31, 2017

Interactive Phenotyping Of Large-Scale Histology Imaging Data With HistomicsML

Michael Nalisnik, Mohamed T. Amgad, Sanghoon Lee…·Lee Cooper

HistomicsML enables interactive machine learning for analyzing histology images to identify phenotypes and predict survival in gliomas.

67 citations

humanimaging

𝕏 PostBluesky