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institution

Laboratoire National de Santé

Luxembourg

6 papers here423 citations across 6
fields
  • physics.class-ph2
  • cs.LG1
  • eess.IV1
  • physics.comp-ph1
  • physics.flu-dyn1
ROR 04y798z66OpenAlex

affiliations via OpenAlex

output
20182023
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.

  • F. Buisseret2 · h 18
  • F. Dierick2 · h 9
  • N. Boulanger2 profiles2 · h 35
  • A. Kakoichankava1 · h 2
  • Ann-Christin Hau1 · h 4
  • F. K. Borgmann1 · h 3
  • F. Robaux1 · h 6
  • Gilbert Georg Klamminger1 · h 6
  • Jie Hu1 · h 9
  • Katrin B. M. Frauenknecht1 · h 7
  • M. Benoit1 · h 24
  • Michel Mittelbronn1 · h 19
collaborating institutions
  • Centre National de Rééducation Fonctionnelle et de RéadaptationLU2 papers
  • Cognition, Action, and Sensorimotor PlasticityFR2 papers
  • InsermFR2 papers
  • Luxembourg Institute of HealthLU2 papers
  • UCLouvainBE2 papers
  • Université de BourgogneFR2 papers
  • University of MonsBE2 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
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.