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Universitas Islam Nahdlatul Ulama Jepara

1 paper here16 citations across 1
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  • eess.IV1
ROR 03jd6q418OpenAlex

affiliations via OpenAlex

most citedThe Federated Tumor Segmentation (FeTS) Challenge

16 citations

researchers with a paper here
  • Aikaterini Kotrotsou2 profiles2 · h 23
  • Daniel S. Marcus2 profiles2 · h 10
  • Mikhail Milchenko2 profiles2 · h 16
  • Abhishek Mahajan1
  • Adam E. Flanders1
  • A. Jakab1 · h 7
  • Akansh Maurya1
  • Akshitkumar M. Mistry1
  • Alexandre Carré1
  • Alexandre Milesi1
  • Alexandre X. Falcão1
  • Alexandros Karargyris1
collaborating institutions
  • Agency for Science, Technology and ResearchSG1 paper
  • Alberta Children's HospitalCA1 paper
  • Alberta Machine Intelligence InstituteCA1 paper
  • American College of RadiologyUS1 paper
  • Aminu Kano Teaching HospitalNG1 paper
  • Artificial Intelligence in Medicine (Canada)CA1 paper
  • Athinoula A. Martinos Center for Biomedical ImagingUS1 paper
  • Baylor College of MedicineUS1 paper
  • Beihang UniversityCN1 paper
  • Beijing Academy of Artificial IntelligenceCN1 paper
  • Brigham and Women's HospitalUS1 paper
  • Brown UniversityUS1 paper

1 paper

eess.IV2021★ 16 cited

The Federated Tumor Segmentation (FeTS) Challenge

Sarthak Pati, Ujjwal Baid, Maximilian Zenk +29

This manuscript describes the first challenge on Federated Learning, namely the Federated Tumor Segmentation (FeTS) challenge 2021. International challenges have become the standar…

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