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institution

Kepler Universitätsklinikum

Austria

12 papers here477 citations across 12
fields
  • astro-ph.SR4
  • cs.IR2
  • cs.LG1
  • cs.SC1
  • eess.IV1
  • eess.SP1
  • math.AG1
  • quant-ph1
ROR 02h3bfj85OpenAlex

affiliations via OpenAlex

output
20182025
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.

  • D. Utz2 profiles4 · h 11
  • N. Magyar2 · h 16
  • R. Erdélyi2 · h 9
  • S. V. Domínguez2 profiles2 · h 8
  • V. Nakariakov2 · h 67
  • A. Hanslmeier1 · h 9
  • A. Hausberger1 · h 2
  • Alessandro B. Melchiorre1 · h 9
  • A. Veronig1 · h 57
  • Carsten Schneider1 · h 42
  • C. Böck1 · h 8
  • Ching-Wei Chen1 · h 5
collaborating institutions
  • Johannes Kepler University of LinzAT6 papers
  • Eötvös Loránd UniversityHU3 papers
  • Instituto de Astrofísica de AndalucíaES3 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
  • Bay Zoltán Foundation for Applied ResearchHU2 papers
  • Brigham and Women's HospitalUS2 papers
  • Case Western Reserve UniversityUS2 papers
  • Centre Hospitalier Universitaire de SherbrookeCA2 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.