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Armed Forces Capital Hospital

South Korea

1 paper here99 citations across 1
fields
  • eess.IV1
ROR 045g3sx57OpenAlex

affiliations via OpenAlex

most citedCrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwannoma and Cochlea Segmentation

99 citations

researchers with a paper here
  • A. Belkov1 · h 18
  • A. Kujawa1 · h 10
  • B. Dawant1 · h 65
  • Ben Glocker1 · h 62
  • B. Ly1 · h 7
  • B. Shirokikh1 · h 8
  • C. Kruse1 · h 7
  • Guotai Wang1 · h 21
  • Han Liu1 · h 7
  • Hao Li1 · h 10
  • Hexin Dong1 · h 7
  • Hyeongyu Kim1 · h 5
collaborating institutions
  • Imperial College LondonGB1 paper
  • Institut national de recherche en sciences et technologies du numériqueFR1 paper
  • King's College HospitalGB1 paper
  • King's College LondonGB1 paper
  • Moscow Institute of Physics and TechnologyRU1 paper
  • Muroran Institute of TechnologyJP1 paper
  • Peking UniversityCN1 paper
  • Skolkovo Institute of Science and TechnologyRU1 paper
  • Universidad San Francisco de QuitoEC1 paper
  • Universitat de BarcelonaES1 paper
  • Université Côte d'AzurFR1 paper
  • University of Electronic Science and Technology of ChinaCN1 paper

1 paper

eess.IV2022★ 99 cited

CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwannoma and Cochlea Segmentation

Reuben Dorent, Aaron Kujawa, Marina Ivory +37

Domain Adaptation (DA) has recently raised strong interests in the medical imaging community. While a large variety of DA techniques has been proposed for image segmentation, most…

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