| Variability and reproducibility in deep learning for medical image segmentation F Renard, S Guedria, ND Palma, N Vuillerme Scientific Reports 10 (1), 13724, 2020 | 192 | 2020 |
| R2D2: A scalable deep learning toolkit for medical imaging segmentation S Guedria, N De Palma, F Renard, N Vuillerme Software: Practice and Experience 50 (10), 1966-1985, 2020 | 7 | 2020 |
| Auto-CNNp: a component-based framework for automating CNN parallelism S Guedria, N De Palma, F Renard, N Vuillerme 2019 IEEE International Conference on Big Data (Big Data), 3330-3339, 2019 | 6 | 2019 |
| Automating cnn parallelism with components S Guedria, N De Palma, F Renard, N Vuillerme 2019 International Conference on Computational Science and Computational …, 2019 | 3 | 2019 |
| Une plateforme d'apprentissage profond à base de composants qui passe à l'échelle: une application aux réseaux de neurones convolutionnels pour la segmentation en imagerie … S Guedria Université Grenoble Alpes, 2020 | | 2020 |
| A scalable and component-based deep learning parallelism platform: an application to convolutional neural networks for medical imaging segmentation. S Guedria Université Grenoble Alpes [2020-....], 2020 | | 2020 |
noel de palmaUniversity Grenoble Alpes在 imag.fr 的电子邮件经过验证
noel de palmaUniversity Grenoble Alpes在 imag.fr 的电子邮件经过验证