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Radiothérapie Moléculaire et Innovation Thérapeutique

1 paper here10 citations across 1
fields
  • cs.CV1
ROR 00jp5dw81OpenAlex

affiliations via OpenAlex

most citedDeep learning based registration using spatial gradients and noisy segmentation labels

10 citations

researchers with a paper here
  • Alexandre Carr'e1 · h 2
  • C. Robert1 · h 31
  • E. Battistella1 · h 14
  • Inria Saclay1 · h 1
  • Marvin Lerousseau1 · h 13
  • Math'ematiques et Informatique pour la Complexit'e et les Systemes1 · h 1
  • M. Vakalopoulou1 · h 23
  • N. Paragios1 · h 71
  • Radioth'erapie Mol'eculaire et Innovation Th'erapeutique1 · h 1
  • T. Estienne1 · h 13
  • T. Henry1 · h 12
  • U. Paris-Saclay1 · h 21
collaborating institutions
  • CentraleSupélecFR1 paper
  • InsermFR1 paper
  • Institut Gustave RoussyFR1 paper
  • Institut national de recherche en sciences et technologies du numériqueFR1 paper
  • Mathématiques et Informatique pour la Complexité et les Systèmes1 paper
  • Université Paris-SaclayFR1 paper

1 paper

cs.CV2020★ 10 cited

Deep learning based registration using spatial gradients and noisy segmentation labels

Théo Estienne, Maria Vakalopoulou, Enzo Battistella +6

Image registration is one of the most challenging problems in medical image analysis. In the recent years, deep learning based approaches became quite popular, providing fast and p…

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