Author

Jianan Chen

University College LondonORCID 0000-0002-4607-3227Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Assay:imaging· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:database / resource· 1 Approach:experimental assay· 1

Frequent Co-Authors

Adrienne Margaret FlanaganiD· 1 shared Alison CheungiD· 1 shared Anna Tollit· 1 shared Anne Louise MarteliD· 1 shared Binghao ChaiiD· 1 shared Dan WangiD· 1 shared David F. SteineriD· 1 shared Fatine OumliliD· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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1 shared paperPathology

Adrienne Margaret FlanaganORCID

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2 papers

Recent·Most cited

Impact of tissue staining and scanner variation on the performance of pathology foundation models: a study of sarcomas and their mimics

Binghao Chai, Jianan Chen, Paul Cool, Fatine Oumlil, Anna Tollit, David F. Steiner, Tapabrata Chakraborti, Adrienne Margaret Flanagan

Across 14 sarcoma and mimic subtypes, six pathology foundation models beat ResNet50 but lost accuracy under multi-institutional staining; adding 121 externally stained slides narrowed the gap.

The Journal of Pathology Clinical Research · Feb 24, 2026Peer-reviewedPathology✦ In-depth digest

General stain deconvolution of histopathology images with physics-guided deep learning

Jianan Chen, Lydia Liu, Wenchao Han, Dan Wang, Alison Cheung, Hubert Tsui, Anne Louise Martel

This paper introduces PGDIPS, a physics-guided deep learning method for stain deconvolution in histopathology images, achieving better generalization and interpretability without training data.

bioRxiv · Dec 6, 2022 · PreprintBioinformatics