Author

Bojing Liu

Karolinska InstitutetORCID 0000-0002-0366-6989Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:clustering· 1 Approach:contrastive learning· 1 Organism:human· 1 Assay:spatial transcriptomics· 1

Frequent Co-Authors

A. Stijn L. P. CrobachiD· 1 shared Adalberto Claudio QuirosiD· 1 shared Afreen KarimkhaniD· 1 shared Aristotelis TsirigosiD· 1 shared Hortense LeiD· 1 shared J.H.J.M. van Krieken· 1 shared Ke YuaniD· 1 shared Meaghan PolackiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

A. Stijn L. P. CrobachORCID

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Author profile →

1 paper

Recent·Most cited

Self-Supervised Learning Reveals Clinically Relevant Histomorphological Patterns for Therapeutic Strategies in Colon Cancer

Bojing Liu, Meaghan Polack, Nicolas Coudray, Adalberto Claudio Quiros, Theodore Sakellaropoulos, Hortense Le, Afreen Karimkhan, A. Stijn L. P. Crobach, J.H.J.M. van Krieken, Ke Yuan, Rob A.�E.�M. Tollenaar, Wilma E. Mesker, Aristotelis Tsirigos

This paper uses self-supervised learning to identify histomorphological patterns in colon cancer WSIs, revealing clinically relevant clusters associated with survival and treatment responses.

Nature Communications · Mar 8, 2025Peer-reviewedBioinformatics