Author

Rui Wang

University of WashingtonORCID 0000-0002-9548-7880Unclaimed ORCID profile · follow to get notified of new preprints

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Rui Wang12 papers · Chinese Academy of Sciences

Biology Disciplines

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Pathology· 2 Bioengineering· 1

Signature Assays, Organisms & Methods

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Assay:imaging· 3 Research Focus:cell type annotation· 2 Approach:deep learning· 2 Research Focus:differential expression· 1 Approach:experimental assay· 1 Organism:human· 1 Research Focus:spatial domain detection· 1 Assay:spatial transcriptomics· 1

Frequent Co-Authors

Jonathan T.C. LiuiD· 3 shared Kevin W. BishopiD· 3 shared Lawrence D. TrueiD· 3 shared Anant MadabhushiiD· 2 shared David BrenesiD· 2 shared Deepti ReddiiD· 2 shared Elena BaraznenokiD· 2 shared Gan GaoiD· 2 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersPathology

Jonathan T.C. LiuORCID

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3 papers

Recent·Most cited

3D pathology-guided microdissection

Huai-Ching Hsieh, Gan Gao, Qinghua Han, David Brenes, Elena Baraznenok, Renao Yan, Robert Serafin, Kevin W. Bishop, Rui Wang, Eric Quentin Konnick, Colin C. Pritchard, Sandy Figiel, Freddie Charles Hamdy, Ian Geoffrey Mills, Nicholas P. Reder, , Jonathan T.C. Liu

This paper introduces a 3D microdissection method combining CNC milling and light-sheet microscopy to study tumor evolution in complex 3D structures.

Nature Methods · Jun 22, 2026Peer-reviewedBioengineering

Detection of prostate cancer in 3D pathology datasets via generative immunolabeling

Robert Serafin, Jennifer Salguero López, SP Chow, Rui Wang, Yujie Zhao, Elena Baraznenok, Lydia Lan, Kevin W. Bishop, Michelle R. Downes, Xavier Farré, Lawrence D. True, Priti Lal, Anant Madabhushi, Jonathan T.C. Liu

This paper develops a 3D computational pipeline called SIGHT to detect prostate cancer in pathology datasets using generative immunolabeling, achieving an F1 score comparable to pathologist agreement.

Modern Pathology · Feb 14, 2026Peer-reviewedPathology

Deep-learning triage of 3D pathology datasets for comprehensive and efficient pathologist assessments

Gan Gao, Renao Yan, Andrew H. Song, Huai-Ching Hsieh, Lindsey A. Erion Barner, Fiona Wang, David Brenes, Sarah S. L. Chow, Rui Wang, Kevin W. Bishop, Yongjun Liu, Xavier Farré, Mukul K. Divatia, Michelle R. Downes, Funda Vakar‐Lopez, , Jonathan T.C. Liu

CARP3D uses deep learning to prioritize high-risk 2D sections in 3D pathology data, improving disease detection while reducing pathologist workload.

bioRxiv · Jul 20, 2025 · PreprintPathology