Author

Zhan Shi

Stony Brook UniversityORCID 0000-0002-7798-1121Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Zhan Shi4 papers · The University of Texas at Dallas

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

Emiel A. M. JansseniD· 1 shared Fusheng WangiD· 1 shared George TeodoroiD· 1 shared Hongxiao LiiD· 1 shared Hongyi DuanmuiD· 1 shared Jun KongiD· 1 shared Keerthi GogineniiD· 1 shared Preeti D. SubhedariD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Emiel A. M. JanssenORCID

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1 paper

Recent·Most cited

A Spatial Attention Guided Deep Learning System for Prediction of Pathological Complete Response Using Breast Cancer Histopathology Images

Hongyi Duanmu, Shristi Bhattarai, Hongxiao Li, Zhan Shi, Fusheng Wang, George Teodoro, Keerthi Gogineni, Preeti D. Subhedar, Umay Kiraz, Emiel A. M. Janssen, Ritu Aneja, Jun Kong

This paper develops a deep learning system to predict pathological complete response in TNBC patients using histopathology images and biomarkers, achieving 93% accuracy.

Bioinformatics · Aug 13, 2022Peer-reviewedBioinformatics