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institution

Instituto de Neurologia de Curitiba

Brazil

4 papers here416 citations across 4
fields
  • cs.CV2
  • cs.LG1
  • eess.IV1
ROR 04q0ntn52OpenAlex

affiliations via OpenAlex

output
20212026
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. Falcão1 · h 50
  • B. C. Teixeira1 · h 5
  • Dalcimar Casanova1 · h 16
  • É. O. Rodrigues1 · h 12
  • F. Sprenger1 · h 5
  • J. L. H. D. Agnol1 · h 1
  • J. Oliva1 · h 2
  • L. F. P. Southier1 · h 5
  • Marcelo Filipak1 · h 2
  • Marcelo Teixeira1 · h 8
  • M. Cerqueira1 · h 4
  • R. Minetto1 · h 4
collaborating institutions
  • Universidade Estadual de Campinas (UNICAMP)BR3 papers
  • Universidade Federal do ParanáBR3 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
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.