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Institut des Maladies Génétiques Imagine

France

4 papers here5 citations across 4
fields
  • cs.AI1
  • cs.CV1
  • eess.IV1
  • q-bio.QM1
ROR 05rq3rb55OpenAlex

affiliations via OpenAlex

output
20212026
most citedThe Smart Data Extractor, a Clinician Friendly Solution to Accelerate and Improve the Data Collection During Clinical Trials

5 citations

researchers with a paper here
  • A. Delmonte1 · h 5
  • Adrien Coulet1 · h 4
  • A. Neuraz1 · h 28
  • Anita Burgun-Parenthoine1 · h 28
  • Bruno Belucci1 · h 1
  • Christophe Kervazo1 · h 6
  • Fabien Maury1 · h 1
  • Giammarco La Barbera1 · h 4
  • Haithem Boussaid1 · h 7
  • I. Bloch1 · h 55
  • J. Goulin1 · h 3
  • L. Friedlander1 · h 10
collaborating institutions
  • Université Paris CitéFR2 papers
  • Assistance Publique – Hôpitaux de ParisFR1 paper
  • Centre de Recherche des CordeliersFR1 paper
  • Heka : Méthodes basées sur les données et modèles en santé pour l'acquisition de connaissancesFR1 paper
  • Heureka (United States)US1 paper
  • Hôpital Necker-Enfants MaladesFR1 paper
  • Imagineering (Japan)JP1 paper
  • InsermFR1 paper
  • Institut national de recherche en sciences et technologies du numériqueFR1 paper
  • Laboratoire Traitement et Communication de l’InformationFR1 paper
  • Philips (France)FR1 paper
  • Télécom ParisFR1 paper
Showing cs.CVShow all

1 paper · 1 filter

cs.CV2021

Automatic size and pose homogenization with spatial transformer network to improve and accelerate pediatric segmentation

Giammarco La Barbera, Pietro Gori, Haithem Boussaid +6

Due to a high heterogeneity in pose and size and to a limited number of available data, segmentation of pediatric images is challenging for deep learning methods. In this work, we…

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