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Institut Català d'Ornitologia

Spain

4 papers here438 citations across 4
fields
  • cs.LG1
  • eess.IV1
  • physics.atom-ph1
  • q-bio.PE1
ROR 02dyp7q04OpenAlex

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.

  • A. Le1 · h 33
  • A. Sanchez1 · h 3
  • B. Belsa1 · h 7
  • C. Lin1 · h 51
  • J. Biegert1 · h 41
  • J. Daněk1 · h 5
  • J. Ullrich1 · h 69
  • K. Amini1 · h 17
  • M. Richter1 · h 20
  • R. Moshammer1 · h 60
  • S. Gräfe1 · h 24
  • S.-J. Wang1 · h 1
collaborating institutions
  • 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
  • Escuela Superior Politecnica del LitoralEC2 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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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.