Author

Frederik Deman

ORCID 0000-0002-6925-571XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

Anca Mera· 1 shared Charles MaussioniD· 1 shared Cheryl GillettiD· 1 shared Elinor J. SawyeriD· 1 shared Ellen Amonoo· 1 shared Glenn BroeckxiD· 1 shared Jasmine TimbresiD· 1 shared Loïc HerpiniD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperPathology

Anca Mera

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1 paper

Recent·Most cited

Development of a Deep Learning model Tailored for HER2 Detection in Breast Cancer to aid pathologists in interpreting HER2-Low cases

Pierre‐Antoine Bannier, Glenn Broeckx, Loïc Herpin, Rémy Dubois, Lydwine Van Praet, Charles Maussion, Frederik Deman, Ellen Amonoo, Anca Mera, Jasmine Timbres, Cheryl Gillett, Elinor J. Sawyer, Patrycja Gazińska, Piotr P. Ziolkowski, Magali Lacroix‐Triki, , Sheeba Irshad

This paper develops a deep learning model to detect HER2 status in breast cancer, showing higher concordance with ground truth than pathologists for HER2-low cases.

Histopathology · Jul 14, 2024Peer-reviewedPathology