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2020 – today
- 2020
[j2]Quentin Delannoy, Chi-Hieu Pham
, Clément Cazorla, Carlos Tor-Díez, Guillaume Dollé, Hélène Meunier, Nathalie Bednarek, Ronan Fablet, Nicolas Passat, François Rousseau:
SegSRGAN: Super-resolution and segmentation using generative adversarial networks - Application to neonatal brain MRI. Comput. Biol. Medicine 120: 103755 (2020)
2010 – 2019
- 2019
- [j1]Chi-Hieu Pham, Carlos Tor-Díez, Hélène Meunier, Nathalie Bednarek, Ronan Fablet, Nicolas Passat, François Rousseau:
Multiscale brain MRI super-resolution using deep 3D convolutional networks. Comput. Medical Imaging Graph. 77 (2019) - [c4]Carlos Tor-Díez, Chi-Hieu Pham, Hélène Meunier, Sylvain Faisan, Isabelle Bloch, Nathalie Bednarek, Nicolas Passat, François Rousseau:
Evaluation of cortical segmentation pipelines on clinical neonatal MRI data. EMBC 2019: 6553-6556 - [c3]Chi-Hieu Pham, Carlos Tor-Díez, Hélène Meunier, Nathalie Bednarek, Ronan Fablet, Nicolas Passat, François Rousseau:
Simultaneous Super-Resolution and Segmentation Using a Generative Adversarial Network: Application to Neonatal Brain MRI. ISBI 2019: 991-994 - [c2]Carlos Tor-Díez, Sylvain Faisan, Loïc Mazo, Nathalie Bednarek, Hélène Meunier, Isabelle Bloch, Nicolas Passat, François Rousseau:
Multilabel, Multiscale Topological Transformation for Cerebral MRI Segmentation Post-processing. ISMM 2019: 471-482 - [c1]Pierre Cettour-Janet, Gilles Valette, Laurent Lucas, Hélène Meunier, Gauthier Loron, Nathalie Bednarek, François Rousseau, Nicolas Passat:
Hierarchical Approach for Neonate Cerebellum Segmentation from MRI: An Experimental Study. ISMM 2019: 483-495
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