MANTRA: Minimum Maximum Latent Structural SVM for Image Classification and Ranking, 2015 IEEE International Conference on Computer Vision (ICCV), pp.2713-2721, 2015. ,
URL : https://hal.archives-ouvertes.fr/hal-01343784
Highresolution breast cancer screening with multi-view deep convolutional neural networks, 2017. ,
Deep Residual Learning for Image Recognition, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.770-778, 2016. ,
Current Status of the Digital Database for Screening Mammography, Computational Imaging and Vision, pp.457-460, 1998. ,
Digital mammographic tumor classification using transfer learning from deep convolutional neural networks, Journal of Medical Imaging, vol.3, issue.3, p.34501, 2016. ,
Large scale deep learning for computer aided detection of mammographic lesions, Medical Image Analysis, vol.35, pp.303-312, 2017. ,
ImageNet classification with deep convolutional neural networks, Communications of the ACM, vol.60, issue.6, pp.84-90, 2017. ,
Preprint repository arXiv achieves milestone million uploads, Physics Today, 2014. ,
Preprint repository arXiv achieves milestone million uploads, Physics Today, 2014. ,
Fully convolutional networks for semantic segmentation, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.3431-3440, 2015. ,
A Multi-scale CNN and Curriculum Learning Strategy for Mammogram Classification, Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, pp.169-177, 2017. ,
Inbreast: toward a full-field digital mammographic database, Academic radiology, vol.19, issue.2, pp.236-248, 2012. ,
Digital Mammography DREAM Challenge: Participant Experience 1 (Conference Presentation), Medical Imaging 2017: Computer-Aided Diagnosis, 2017. ,