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institution

Flinders Medical Centre

Australia

4 papers here448 citations across 4
fields
  • cs.CV1
  • cs.LG1
  • eess.IV1
  • nucl-th1
ROR 020aczd56OpenAlex

affiliations via OpenAlex

output
19982022
most citedFederated Learning Enables Big Data for Rare Cancer Boundary Detection

390 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.

  • Anton van den Hengel1 · h 80
  • Haifeng Shen1 · h 13
  • J. Doornberg1 · h 46
  • J. J. De Swart1 · h 32
  • Johan Verjans1 · h 34
  • J. Prijs1 · h 7
  • Kewen Liao1 · h 7
  • M. F. van Boxel1 · h 1
  • M. Rentmeester1 · h 12
  • R. Jaarsma1 · h 28
  • R. Timmermans1 · h 5
  • Zhibin Liao1 · h 21
collaborating institutions
  • Flinders UniversityAU4 papers
  • Alberta Machine Intelligence InstituteCA2 papers
  • American College of RadiologyUS2 papers
  • Aminu Kano Teaching HospitalNG2 papers
  • Athinoula A. Martinos Center for Biomedical ImagingUS2 papers
  • Baylor College of MedicineUS2 papers
  • Brigham and Women's HospitalUS2 papers
  • Case Western Reserve UniversityUS2 papers
  • Centre Hospitalier Universitaire de SherbrookeCA2 papers
  • Chinese University of Hong KongHK2 papers
  • Christiana Care Health SystemUS2 papers
  • Clatterbridge Cancer Centre NHS Foundation TrustGB2 papers
Showing 2021Show all

1 paper · 1 filter

eess.IV2021★ 16 cited

The Federated Tumor Segmentation (FeTS) Challenge

Sarthak Pati, Ujjwal Baid, Maximilian Zenk +29

This manuscript describes the first challenge on Federated Learning, namely the Federated Tumor Segmentation (FeTS) challenge 2021. International challenges have become the standar…

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