Author

Jinhwan Choi

Cleveland ClinicORCID 0000-0003-0613-7238Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:imaging· 2 Research Focus:protein structure prediction· 2 Approach:deep learning· 1 Approach:statistical model· 1

Frequent Co-Authors

Hongming XuiD· 2 shared Jean Rene V. ClemenceauiD· 2 shared Tae Hyun HwangiD· 2 shared Jeonghyun KangiD· 1 shared Lee Sh· 1 shared Nathan RadakovichiD· 1 shared Sung Hak LeeiD· 1 shared Sunho ParkiD· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 27 mutual co-author links

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2 shared papersBioinformatics

Hongming XuORCID

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2 papers

Recent·Most cited

BioinformaticsJournal of Pathology InformaticsPeer-reviewedJan 1, 2022

Spatial heterogeneity and organization of tumor mutation burden and immune infiltrates within tumors based on whole slide images correlated with patient survival in bladder cancer

Hongming Xu, Sunho Park, Jean Rene V. Clemenceau…·Tae Hyun Hwang

The paper uses whole slide images to analyze spatial heterogeneity of tumor mutation burden and immune infiltrates in bladder cancer, finding that low spatial heterogeneity with high TILs correlates with improved survival.

51 citations

humanimaging

𝕏 PostBluesky

BioinformaticsbioRxivPreprintApr 24, 2021

Spatial analysis of tumor infiltrating lymphocytes based on deep learning using histopathology image to predict progression-free survival in colorectal cancer

Hongming Xu, Yoon Jin Cha, Jean Rene V. Clemenceau…·Tae Hyun Hwang

This paper uses deep learning to analyze histopathology images of colorectal cancer to predict progression-free survival by quantifying tumor infiltrating lymphocytes.

4 citations

humanimaging

𝕏 PostBluesky