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Institut d'Investigació Biomèdica de Girona

Spain

2 papers here391 citations across 2
fields
  • cs.LG1
  • stat.ME1
ROR 020yb3m85OpenAlex

affiliations via OpenAlex

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.

  • Adelaida García Velasco1
  • Daniel Gonzalez1 · h 3
  • Félix Balazard1 · h 4
  • Honghao Li1 · h 5
  • Imke Mayer1 · h 1
  • J.-B. Bachet1 · h 4
  • J. Cros1 · h 8
  • Jean Ogier du Terrail1
  • Jorge Arellano Castro1
  • Julien Taïeb1 · h 26
  • Kawther Abdilleh1 · h 5
  • Laetitia Dahan1 · h 4
collaborating institutions
  • Institut Català d'OncologiaES2 papers
  • Alberta Machine Intelligence InstituteCA1 paper
  • American College of RadiologyUS1 paper
  • Aminu Kano Teaching HospitalNG1 paper
  • Asan Medical CenterKR1 paper
  • Assistance Publique – Hôpitaux de ParisFR1 paper
  • Athinoula A. Martinos Center for Biomedical ImagingUS1 paper
  • Baylor College of MedicineUS1 paper
  • Brigham and Women's HospitalUS1 paper
  • Cairo UniversityEG1 paper
  • Case Comprehensive Cancer Center1 paper
  • Case Western Reserve UniversityUS1 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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