Author

Kai Williams

Institute of Genetics and Cancer

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Cell Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:Hi-C· 1 Organism:mouse· 1 Research Focus:spatial domain detection· 1 Assay:spatial transcriptomics· 1

Frequent Co-Authors

Caitlin McCaffrey· 1 shared Daniel T. FieldiD· 1 shared Ewen M. HarrisoniD· 1 shared Hugh WardeniD· 1 shared Ian P.M. TomlinsoniD· 1 shared Kyle Davies· 1 shared Luke BoulteriD· 1 shared Nathalie A. FeeleyiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperCell Biology

Caitlin McCaffrey

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

DUCK-Net: Automated deep learning segmentation of Ductular Reaction in murine liver injury captures multicellular niche dynamics from H&E morphology

Nathalie A. Feeley, Kai Williams, Caitlin McCaffrey, Daniel T. Field, Kyle Davies, Hugh Warden, Luke Boulter, S. Thorn, Tak Yung Man, Wei‐Yu Lu, Stephen J. Wigmore, Ewen M. Harrison, Stuart John Forbes, Ian P.M. Tomlinson, Timothy James Kendall, Rachel Victoria Guest

This paper introduces DUCK-Net, a deep learning model for automated segmentation of Ductular Reactions in murine liver injury, showing high accuracy and correlation with spatial transcriptomic data.

The Journal of Pathology · Sep 8, 2026Peer-reviewedCell Biology