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The Catholic University of Korea Eunpyeong St. Mary's Hospital

South Korea

1 paper here63 citations across 1
fields
  • eess.IV1
ROR 02z7ccn69OpenAlex

affiliations via OpenAlex

most citedFetal Brain Tissue Annotation and Segmentation Challenge Results

63 citations

researchers with a paper here
  • Abdul Qayyum1 · h 18
  • A. Gholipour1 · h 45
  • A. Jakab1 · h 31
  • Andriy Myronenko1 · h 26
  • Bella Specktor Fadida1 · h 3
  • Bjoern H Menze1 · h 71
  • B. Oliveira1 · h 13
  • Dafna Ben Bashat1
  • Daguang Xu1 · h 47
  • Dan Wu1 · h 5
  • D. Karimi1 · h 24
  • Donghyeon Kim1 · h 15
collaborating institutions
  • Arizona State UniversityUS1 paper
  • Athinoula A. Martinos Center for Biomedical ImagingUS1 paper
  • Beijing Institute of TechnologyCN1 paper
  • Boston Children's HospitalUS1 paper
  • Catholic University of KoreaKR1 paper
  • Centre d'Imagerie BioMedicaleCH1 paper
  • Consorci Institut D'Investigacions Biomediques August Pi I SunyerES1 paper
  • Harvard UniversityUS1 paper
  • Hebrew University of JerusalemIL1 paper
  • Hong Kong University of Science and TechnologyHK1 paper
  • King's College LondonGB1 paper
  • KU LeuvenBE1 paper

1 paper

eess.IV2022★ 63 cited

Fetal Brain Tissue Annotation and Segmentation Challenge Results

Kelly Payette, Hongwei Li, Priscille de Dumast +55

In-utero fetal MRI is emerging as an important tool in the diagnosis and analysis of the developing human brain. Automatic segmentation of the developing fetal brain is a vital ste…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.