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institution

Dutch Cancer Society

Netherlands

7 papers here417 citations across 7
fields
  • eess.IV2
  • stat.ME2
  • cs.CL1
  • cs.LG1
  • cs.SD1
ROR 0368jnd28OpenAlex

affiliations via OpenAlex

output
20132025
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. Guijt1 · h 3
  • A. May1 · h 30
  • Ashkan Moradi1 · h 7
  • Bendik S Abrahamsen1 · h 3
  • B. Halpern1 · h 11
  • Bradley R. Pieters1 · h 2
  • D. Abur1 · h 15
  • Derya Yakar1 · h 31
  • Ellen M. Kerkhof1 · h 1
  • F. Zerka1 · h 9
  • Henkjan Huisman1 · h 7
  • J. Bosma1 · h 11
collaborating institutions
  • Oncode InstituteNL4 papers
  • Radboud University Medical CenterNL2 papers
  • Radboud University NijmegenNL2 papers
  • The Netherlands Cancer InstituteNL2 papers
  • University Medical Center GroningenNL2 papers
  • Alberta Machine Intelligence InstituteCA1 paper
  • American College of RadiologyUS1 paper
  • Aminu Kano Teaching HospitalNG1 paper
  • Asan Medical CenterKR1 paper
  • Athinoula A. Martinos Center for Biomedical ImagingUS1 paper
  • Baylor College of MedicineUS1 paper
  • Brigham and Women's HospitalUS1 paper
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.