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Jan Cross-Zamirski

2 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CV1
  • eess.IV1
ORCID 0000-0002-0404-7725

identity via Semantic Scholar / OpenAlex

most citedSelf-Supervised Learning of Phenotypic Representations from Cell Images with Weak Labels

16 citations · 16 across the 2 of their papers we have counts for

collaborators

2 papers

eess.IV2024

Can Generative AI Replace Immunofluorescent Staining Processes? A Comparison Study of Synthetically Generated CellPainting Images from Brightfield

Xiaodan Xing, Siofra Murdoch, Chunling Tang +7

Cell imaging assays utilizing fluorescence stains are essential for observing sub-cellular organelles and their responses to perturbations. Immunofluorescent staining process is ro…

cs.CV2022★ 16 cited

Self-Supervised Learning of Phenotypic Representations from Cell Images with Weak Labels

Jan Oscar Cross-Zamirski, Guy Williams, Elizabeth Mouchet +3

We propose WS-DINO as a novel framework to use weak label information in learning phenotypic representations from high-content fluorescent images of cells. Our model is based on a…

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