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institution

Center for Global Health

United States

8 papers here668 citations across 8
fields
  • cs.HC2
  • q-bio.PE2
  • stat.ME2
  • cs.LG1
  • eess.IV1
ROR 02e5dc168OpenAlex

affiliations via OpenAlex

output
20142026
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.

  • Anna M. Stewart-Ibarra2 · h 28
  • J. Finkelstein2 · h 32
  • S. Ryan2 · h 49
  • Acacia Lab for Implementation Science1 · h 0
  • A. Clark1 · h 113
  • Aidan Marler1 · h 1
  • Á. Muñoz1 · h 22
  • Ante Bing1 · h 1
  • A. Thawani1 · h 4
  • C. Feldacker1 · h 21
  • Charles W. Goss1 · h 3
  • Christine A. King1 · h 18
collaborating institutions
  • Cornell UniversityUS4 papers
  • Escuela Superior Politecnica del LitoralEC3 papers
  • Heidelberg UniversityDE3 papers
  • Athinoula A. Martinos Center for Biomedical ImagingUS2 papers
  • Brigham and Women's HospitalUS2 papers
  • Cairo UniversityEG2 papers
  • German Cancer Research CenterDE2 papers
  • Harvard UniversityUS2 papers
  • Massachusetts General HospitalUS2 papers
  • National Cancer InstituteUS2 papers
  • Neurological SurgeryUS2 papers
  • New York UniversityUS2 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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