5 citations
- Université Paris CitéFR2 papers
- Assistance Publique – Hôpitaux de ParisFR1 paper
- Centre de Recherche des CordeliersFR1 paper
- Hôpital Necker-Enfants MaladesFR1 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
2 papers
q-bio.QM2023★ 5 cited
The Smart Data Extractor, a Clinician Friendly Solution to Accelerate and Improve the Data Collection During Clinical Trials
Sophie Quennelle, Maxime Douillet, Lisa Friedlander +4
In medical research, the traditional way to collect data, i.e. browsing patient files, has been proven to induce bias, errors, human labor and costs. We propose a semi-automated sy…
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…