Author

Mary J. C. Ludlam

Cairn Biosciences (United States)

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

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:clustering· 2 Assay:imaging· 2 Research Focus:cell-cell communication· 1 Approach:contrastive learning· 1 Approach:statistical model· 1

Frequent Co-Authors

Amin FehriiD· 2 shared Daniel ZyssiD· 2 shared Susana Abreu RibeiroiD· 2 shared Thomas WalteriD· 2 shared Amritansh Sharma· 1 shared Claire E. RepelliniD· 1 shared Oliver Lai· 1 shared

Activity by Year

2023-2025 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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2 shared papersBioinformatics

Amin FehriORCID

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2 papers

Recent·Most cited

Contrastive learning for cell division detection and tracking in live cell imaging data

Daniel Zyss, Amritansh Sharma, Susana Abreu Ribeiro, Claire E. Repellin, Oliver Lai, Mary J. C. Ludlam, Thomas Walter, Amin Fehri

This paper introduces a contrastive learning and graph-based method to improve cell division detection and tracking in live-cell imaging data, achieving better performance across different temporal resolutions.

BMC Bioinformatics · Dec 27, 2025Peer-reviewedBioinformatics

Cell Segmentation in Images Without Structural Fluorescent Labels

Daniel Zyss, Susana Abreu Ribeiro, Mary J. C. Ludlam, Thomas Walter, Amin Fehri

This paper presents a segmentation workflow that enables cell segmentation without structural fluorescent labels, improving performance and robustness across cell lines and fluorescent labels.

Biological Imaging · Jan 1, 2023Peer-reviewedBioinformatics