Author

Ji‐Youn Sung

Kyung Hee UniversityORCID 0000-0002-6607-2117Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Cancer Biology· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Research Focus:cell type annotation· 2 Approach:deep learning· 2 Assay:imaging· 2 Approach:Bayesian inference· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

Inyeop Jang· 3 shared Isabel BarnfatheriD· 3 shared Jean Rene V. ClemenceauiD· 3 shared Jeong Hwan ParkiD· 3 shared Tae Hyun HwangiD· 3 shared Minji KimiD· 2 shared Amelia R. Schroeder· 1 shared Baohong ZhangiD· 1 shared

Activity by Year

2024-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 42 mutual co-author links

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3 shared papersGenomics

Inyeop Jang

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

GenomicsNature MethodsPeer-reviewedSep 1, 2025

Scaling up spatial transcriptomics for large-sized tissues: uncovering cellular-level tissue architecture beyond conventional platforms with iSCALE

Amelia R. Schroeder, Melanie Loth, Chunyu Luo…·Mingyao Li

iSCALE predicts super-resolution gene expression and annotates tissue architecture in large tissues, revealing features missed by conventional spatial transcriptomics.

31 citationstop 1%

humanspatial transcriptomics

𝕏 PostBluesky

Cancer BiologyNature CommunicationsPeer-reviewedMay 22, 2025

Revealing 3D cancer tissue structures using holotomography and virtual hematoxylin and eosin staining via deep learning

Juyeon Park, Su‐Jin Shin, Geon Kim…·YongKeun Park

This paper develops a 3D virtual H&E staining method using holotomography and deep learning for cancer tissues, validated on colon and gastric cancer samples.

44 citationstop 1%

humanimaging

𝕏 PostBluesky

BioinformaticsbioRxivPreprintNov 1, 2024

Deep Gaussian Process with Uncertainty Estimation for Microsatellite Instability and Immunotherapy Response Prediction Based on Histology

Sunho Park, Mark Pettigrew, Yoon Jin Cha…·Tae Hyun Hwang

MSI-SEER uses deep Gaussian processes to predict microsatellite instability from histology images, achieving high accuracy in MSI prediction and ICI response prediction.

DOI 10.1101/2024.11.01.621561

humanimaging

𝕏 PostBluesky