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EURECOM

France

3 papers here12 citations across 3
fields
  • cs.CR1
  • cs.CV1
  • eess.IV1
ROR 00sse7z02OpenAlex

affiliations via OpenAlex

works on
angiography 1benchmark challenge 1circle of willis segmentation 1deep learning 1vascular imaging 1

From the 1 of 3 papers with an AI index.

most citedThe TopCoW Challenge -- Topology-Aware Circle of Willis Segmentation for CT and MR Angiography

12 citations

researchers with a paper here
  • Maria A. Zuluaga2 profiles2 · h 2
  • Abdul Qayyum1 · h 5
  • A. Casamitjana1 · h 11
  • A. Galdrán1 · h 33
  • A. Hilbert1 · h 15
  • Alexander Koch1 · h 3
  • A. Makmur1 · h 15
  • Amrish Soundararajan1 · h 4
  • A. Oliver1 · h 42
  • A. Sekuboyina1 · h 28
  • A. Siddiqui1 · h 77
  • Benedikt Wiestler1 · h 31
collaborating institutions
  • AGH University of KrakowPL1 paper
  • Athinoula A. Martinos Center for Biomedical ImagingUS1 paper
  • Beijing Academy of Artificial IntelligenceCN1 paper
  • Canon (United States)US1 paper
  • Center for Excellence in Brain Science and Intelligence TechnologyCN1 paper
  • Centre Hospitalier de l’Université de MontréalCA1 paper
  • Charité - Universitätsmedizin BerlinDE1 paper
  • Chinese Academy of SciencesCN1 paper
  • Cornell UniversityUS1 paper
  • Duke Medical CenterUS1 paper
  • Exelixis (United States)US1 paper
  • German Cancer Research CenterDE1 paper
Showing eess.IVShow all

1 paper · 1 filter

eess.IV2026

Diffusion-Based Quality Control of Medical Image Segmentations across Organs

Vincenzo Marcianò, Hava Chaptoukaev, Virginia Fernandez +4

Medical image segmentation using deep learning (DL) has enabled the development of automated analysis pipelines for large-scale population studies. However, state-of-the-art DL met…

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