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institution

Leeds Teaching Hospitals NHS Trust

United Kingdom

8 papers here696 citations across 8
fields
  • cs.LG2
  • cs.AI1
  • cs.CV1
  • cs.HC1
  • eess.IV1
  • physics.med-ph1
  • q-bio.QM1
ROR 00v4dac24OpenAlex

affiliations via OpenAlex

output
20212025
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.

  • Charlotte Jennings3 · h 3
  • D. Treanor2 · h 6
  • E. Clarke2 · h 3
  • Andrew Broad1 · h 2
  • A. Quyn1 · h 4
  • A. Scarsbrook1 · h 37
  • Benjamin Keel1 · h 2
  • Caroline Cartlidge1 · h 2
  • C. McGenity1 · h 8
  • C. Verhoef1 · h 3
  • Darren Treanor1 · h 3
  • David G. Jayne1 · h 2
collaborating institutions
  • University of LeedsGB5 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 eess.IVShow 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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