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institution

Clatterbridge Cancer Centre NHS Foundation Trust

United Kingdom

5 papers here408 citations across 5
fields
  • cs.LG1
  • eess.IV1
  • physics.acc-ph1
  • physics.ins-det1
  • physics.med-ph1
ROR 05gcq4j10OpenAlex

affiliations via OpenAlex

output
20202025
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. Kacperek2 profiles2 · h 26
  • Jacinta Yap2 · h 6
  • N. Bal2 · h 3
  • C. Granja1 · h 3
  • C. Oancea1 · h 4
  • C. P. Welsch1 · h 3
  • C. Welsch1 · h 27
  • F. V. D. Heuvel1 · h 0
  • Jason L. Parsons1 · h 7
  • J. R. L'opez1 · h 1
  • Mark D. Brooke1 · h 1
  • S. Jolly1 · h 21
collaborating institutions
  • Cockcroft InstituteGB3 papers
  • Imperial College LondonGB3 papers
  • University of LiverpoolGB3 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
Showing cs.LGShow all

1 paper · 1 filter

cs.LG2022★ 390 cited

Federated Learning Enables Big Data for Rare Cancer Boundary Detection

Sarthak Pati, Ujjwal Baid, Brandon Edwards +276

Although machine learning (ML) has shown promise in numerous domains, there are concerns about generalizability to out-of-sample data. This is currently addressed by centrally shar…

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