HAL Id: hal-02189136 https://hal.archives-ouvertes.fr/hal-02189136v1 Preprint submitted on 19 Jul 2019 (v1), last revised 7 Apr 2020 (v3) HAL is a multi-disciplinary open access archive for the deposit and dissemination of sci- entifc research documents, whether they are pub- lished or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la difusion de documents scientifques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. SegSRGAN: A software solution for super-resolution and segmentation using generative adversarial networks – Application to neonatal brain MRI Quentin Delannoy, Chi-Hieu Pham, Clément Cazorla, Carlos Tor-Díez, Guillaume Dollé, Hélène Meunier, Nathalie Bednarek, Ronan Fablet, Nicolas Passat, François Rousseau To cite this version: Quentin Delannoy, Chi-Hieu Pham, Clément Cazorla, Carlos Tor-Díez, Guillaume Dollé, et al.. SegSR- GAN: A software solution for super-resolution and segmentation using generative adversarial networks – Application to neonatal brain MRI. 2019. hal-02189136v1