Lung Pattern Classification for Interstitial Lung Diseases Using a Deep Convolutional Neural Network, IEEE Trans Med Imaging, vol.35, issue.5, 2016. ,
Segnet: A deep convolutional encoder-decoder architecture for image segmentation, IEEE PAMI, 2017. ,
Lung ct densitometry in systemic sclerosis: Correlation with lung function, exercise testing, and quality of life, Chest, vol.131, issue.3, 2007. ,
Deformable Registration Through Learning of Context-Specific Metric Aggregation, pp.256-265, 2017. ,
URL : https://hal.archives-ouvertes.fr/hal-01650956
Dense image registration through mrfs and efficient linear programming, Medical Image Analysis, vol.12, issue.6, pp.731-741, 2008. ,
Multi-atlas segmentation of biomedical images: A survey, Medical Image Analysis, vol.24, issue.1, pp.205-219, 2015. ,
V-net: Fully convolutional neural networks for volumetric medical image segmentation, 3D Vision (3DV), 2016 Fourth International Conference on, pp.565-571, 2016. ,
(hyper)-graphical models in biomedical image analysis, Medical Image Analysis, vol.33, 2016. ,
URL : https://hal.archives-ouvertes.fr/hal-01359107
U-net: Convolutional networks for biomedical image segmentation, Medical Image Computing and Computer-Assisted Intervention (MICCAI), vol.9351, pp.234-241, 2015. ,
An overview of multi-task learning in deep neural networks, 2017. ,
Fully convolutional networks for semantic segmentation, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.39, issue.4, pp.640-651, 2017. ,
Deep patch-based priors under a fully convolutional encoder-decoder architecture for interstitial lung disease segmentation, 2018 IEEE International Symposium on Biomedical Imaging (ISBI), 2018. ,
URL : https://hal.archives-ouvertes.fr/hal-01721714
Deep Learning for Medical Image Analysis, 2017. ,