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MBio Diagnostics (United States)

United States

2 papers here1 citations across 2
fields
  • cs.CV1
  • eess.IV1
ROR 01t44n583OpenAlex

affiliations via OpenAlex

most citedLeveraging Adversarial Learning for Pathological Fidelity in Virtual Staining

1 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

  • D. Montezuma2 · h 17
  • Hugo M. Horlings2 · h 3
  • Jaime S. Cardoso2 · h 3
  • José Teixeira2 · h 2
  • Pascal Klöckner2 · h 1
  • S. P. Oliveira2 · h 2
  • João Fraga1 · h 5
  • Melis Erdal Cesur1 · h 3
collaborating institutions
  • INESC TECPT2 papers
  • The Netherlands Cancer InstituteNL2 papers
  • Universidade do PortoPT2 papers
Showing eess.IVShow all

1 paper · 1 filter

eess.IV2025

GANs vs. Diffusion Models for virtual staining with the HER2match dataset

Pascal Klöckner, José Teixeira, Diana Montezuma +3

Virtual staining is a promising technique that uses deep generative models to recreate histological stains, providing a faster and more cost-effective alternative to traditional ti…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.