Author

Wenxi Liu

Fuzhou UniversityORCID 0000-0002-3630-6322Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Pathology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Assay:imaging· 2 Research Focus:cell type annotation· 1

Frequent Co-Authors

Deyong KangiD· 2 shared Haohua TuiD· 2 shared Chenyong Lv· 1 shared Feng HuangiD· 1 shared Feng HuangiD· 1 shared Jianxin Chen· 1 shared Jianxin CheniD· 1 shared Liwen Hu· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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2 shared papersPathology

Deyong KangORCID

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2 papers

Recent·Most cited

ViFIT-assisted Histopathology: From H&E Style Standardization to Virtual Fiber Image Transformation

Shu Wang, Xiao Zhang, Xingfu Wang, Chenyong Lv, Xiahui Han, xiong lin, Deyong Kang, Rong Lin, Liwen Hu, Haohua Tu, Feng Huang, Wenxi Liu, Jianxin Chen

ViFIT-assisted histopathology converts diverse H&E-stained images into standardized H&E images and generates virtual fiber images, improving diagnostic workflows across cancer types.

Medical Image Analysis · Mar 21, 2026Peer-reviewedPathology

A deep learning-based stripe self-correction method for stitched microscopic images

Shu Wang, Xixiang Liu, Yueying Li, Xinquan Sun, Qi Li, Yinhua She, Yixuan Xu, Xingxin Huang, Ruolan Lin, Deyong Kang, Xingfu Wang, Haohua Tu, Wenxi Liu, Feng Huang, Jianxin Chen

This paper introduces a deep learning method to correct stripes and artifacts in stitched microscope images, achieving state-of-the-art performance without requiring manual annotations or raw stitched data.

Nature Communications · Sep 5, 2023Peer-reviewedBioinformatics