Author

Si-Han Wang

National Yang Ming Chiao Tung UniversityORCID 0000-0002-1709-5339Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:benchmarking· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

Alexander T.F. BelliD· 1 shared André ForjaziD· 1 shared Arrate Muñoz‐BarrutiaiD· 1 shared Arrun SivasubramanianiD· 1 shared Ashley L. KiemeniD· 1 shared Avi Z. RosenbergiD· 1 shared Charles SteenbergeniD· 1 shared Chu-Nien Yu· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperBioinformatics

Alexander T.F. BellORCID

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2 papers

Recent·Most cited

CODAvision: best practices and a user-friendly interface for rapid, customizable segmentation of medical images

Valentina Matos-Romero, Jaime Gómez-Becerril, André Forjaz, Lucie Dequiedt, Tyler Newton, Saurabh Joshi, Yu Shen, Eban A. Hanna, Praful R. Nair, Arrun Sivasubramanian, Si-Han Wang, Emily L. Lasse Opsahl, Alexander T.F. Bell, Diogo Fróis-Vieira, Julianna M. Czum, , Ashley L. Kiemen

CODAvision provides a user-friendly interface for rapid, customizable medical image segmentation using deep learning, enabling non-experts to train and evaluate models across diverse imaging modalities.

Nature Protocols · Jul 7, 2026Peer-reviewedBioinformatics

Identification of targets for drug repurposing to treat COVID-19 using a Deep Learning Neural Network

Si-Han Wang, Yu‐Hsuan Tang, H.-Y Hsu, Chu-Nien Yu, Oscar Kuang‐Sheng Lee

This paper uses a deep learning model to identify potential drug targets for repurposing in treating COVID-19, highlighting ABL1/2, CSF2, and IL-4/IL-13 as key targets.

medRxiv · May 23, 2023 · PreprintGenetic & Genomic Medicine