| Processing of extremely high-resolution Lidar and RGB data: outcome of the 2015 IEEE GRSS data fusion contest–part a: 2-D contest M Campos-Taberner, A Romero-Soriano, C Gatta, G Camps-Valls, ... IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2016 | 127 | 2016 |
| Benchmarking classification of earth-observation data: From learning explicit features to convolutional networks A Lagrange, B Le Saux, A Beaupere, A Boulch, A Chan-Hon-Tong, ... 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2015 | 108 | 2015 |
| Large-scale feature selection with Gaussian mixture models for the classification of high dimensional remote sensing images A Lagrange, M Fauvel, M Grizonnet IEEE Transactions on Computational Imaging 3 (2), 230-242, 2017 | 54 | 2017 |
| Hierarchical Bayesian image analysis: From low-level modeling to robust supervised learning A Lagrange, M Fauvel, S May, N Dobigeon Pattern Recognition 85, 26-36, 2019 | 17 | 2019 |
| Gaps at the interface between dentine and self‐adhesive resin cement in post‐endodontic restorations quantified in 3D by phase contrast‐enhanced micro‐CT AP Soares, K Bitter, A Lagrange, A Rack, H Shemesh, P Zaslansky International endodontic journal 53 (3), 392-402, 2020 | 16 | 2020 |
| Matrix cofactorization for joint spatial–spectral unmixing of hyperspectral images A Lagrange, M Fauvel, S May, N Dobigeon IEEE Transactions on Geoscience and Remote Sensing 58 (7), 4915-4927, 2020 | 10 | 2020 |
| Towards distillation of deep neural networks for satellite on-board image segmentation F de VIEILLEVILLE, A Lagrange, R Ruiloba, S May The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2020 | 7 | 2020 |
| Building damage assessment with deep learning S May, A Dupuis, A Lagrange, F De Vieilleville, C Fernandez-Martin The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2022 | 5 | 2022 |
| A standardized and characterized clinical grade human platelet lysate for efficient expansion of human bone marrow mesenchymal stem cells S Viau, A Lagrange, S Eap, L Chabrand, J Lorant, M Charrier, K Rouger, ... 24. International Society for Cellular Therapy Annual Meeting (ISCT 2018 …, 2018 | 5 | 2018 |
| Matrix cofactorization for joint representation learning and supervised classification–Application to hyperspectral image analysis A Lagrange, M Fauvel, S May, J Bioucas-Dias, N Dobigeon Neurocomputing 385, 132-147, 2020 | 4 | 2020 |
| Deep learning for remote sensing N Audebert, A Boulch, A Lagrange, B Le Saux, S Lefevre Communications of the 16th ONERA-DLR Aerospace Symposium, 2016 | 4 | 2016 |
| Time-lapse submicrometer particle motion reveals residual strain evolution and damaging stress relaxation in clinical resin composites sealing human root canals K Bitter, C Fleck, A Lagrange, A Rack, P Zaslansky Acta Biomaterialia 140, 350-363, 2022 | 3 | 2022 |
| Convolutional neural networks for semantic labeling A Lagrange, B Le Saux Tech. Rep., 2015 | 3 | 2015 |
| A standardized and characterized clinical grade human platelet lysate for efficient expansion of human bone marrow mesenchymal stem cells S Viau, S Eap, L Chabrand, J Lorant, P Bertholet, T Bouckenooghe, ... Cytotherapy 19 (5), 117-117, 2017 | 2 | 2017 |
| Un modèle bayésien pour le démélange, la segmentation et la classification robuste d'images hyperspectrales A Lagrange, M Fauvel, S May, N Dobigeon GRETSI CNRS, 2017 | 2 | 2017 |
| Vision Transformers for building damage assessment after natural disasters A Lagrange, N Dublé, F De Vieilleville, A Dupuis, S May, ... EGU General Assembly Conference Abstracts, EGU-5581, 2023 | 1 | 2023 |
| Simplification of Deep Neural Networks for image analysis at the edge F De Vieilleville, S May, A Lagrange, A Dupuis, R Ruiloba Actes de la conférence CAID 2020, 4, 2020 | 1 | 2020 |
| Matrix cofactorization for joint unmixing and classification of hyperspectral images A Lagrange, M Fauvel, S May, JM Bioucas-Dias, N Dobigeon 2019 27th European Signal Processing Conference (EUSIPCO), 01-05, 2019 | 1 | 2019 |
| Cofactorisation de matrices pour le démélange et la classification conjoints d'images hyperspectrales (GRETSI 2019) A Lagrange, M Fauvel, S May, JM Bioucas-Dias, N Dobigeon 27e colloque du Groupe de Recherche et d'Etudes du Traitement du Signal et …, 2019 | 1 | 2019 |
| A Bayesian Model for Joint Unmixing and Robust Classification of Hyperspectral Images A Lagrange, M Fauvel, S May, N Dobigeon 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 1 | 2018 |
