| AssemblyNet: A large ensemble of CNNs for 3D whole brain MRI segmentation P Coupé, B Mansencal, M Clément, R Giraud, BD de Senneville, VT Ta, ... NeuroImage 219, 117026, 2020 | 76 | 2020 |
| Learning spatial relations and shapes for structural object description and scene recognition M Clément, C Kurtz, L Wendling Pattern Recognition 84, 197-210, 2018 | 39 | 2018 |
| AssemblyNet: A novel deep decision-making process for whole brain MRI segmentation P Coupé, B Mansencal, M Clément, R Giraud, BD de Senneville, VT Ta, ... International Conference on Medical Image Computing and Computer-Assisted …, 2019 | 26 | 2019 |
| Directional enlacement histograms for the description of complex spatial configurations between objects M Clément, A Poulenard, C Kurtz, L Wendling IEEE Transactions on Pattern Analysis and Machine Intelligence 39 (12), 2366 …, 2017 | 26 | 2017 |
| Bags of spatial relations and shapes features for structural object description M Clément, C Kurtz, L Wendling International Conference on Pattern Recognition (ICPR), 1994-1999, 2016 | 11 | 2016 |
| Color object recognition based on spatial relations between image layers M Clément, M Garnier, C Kurtz, L Wendling International Conference on Computer Vision Theory and Applications (VISAPP …, 2015 | 9 | 2015 |
| Interpretable differential diagnosis for Alzheimer’s disease and frontotemporal dementia HD Nguyen, M Clément, B Mansencal, P Coupé International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 5 | 2022 |
| Fuzzy directional enlacement landscapes for the evaluation of complex spatial relations M Clément, C Kurtz, L Wendling Pattern Recognition 101, 2020 | 5 | 2020 |
| Fuzzy directional enlacement landscapes M Clément, C Kurtz, L Wendling International Conference on Discrete Geometry for Computer Imagery (DGCI …, 2017 | 5 | 2017 |
| Deep grading based on collective artificial intelligence for AD diagnosis and prognosis HD Nguyen, M Clément, B Mansencal, P Coupé MICCAI Workshop on Interpretability of Machine Intelligence in Medical Image …, 2021 | 4 | 2021 |
| Local enlacement histograms for historical drop caps style recognition M Clément, M Coustaty, C Kurtz, L Wendling International Conference on Document Analysis and Recognition (ICDAR), 299-304, 2017 | 4 | 2017 |
| Analysis of different losses for deep learning image colorization C Ballester, A Bugeau, H Carrillo, M Clément, R Giraud, L Raad, P Vitoria Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, 2022 | 3 | 2022 |
| Influence of color spaces for deep learning image colorization C Ballester, A Bugeau, H Carrillo, M Clément, R Giraud, L Raad, P Vitoria Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, 2022 | 3 | 2022 |
| Multi-scale superpatch matching using dual superpixel descriptors R Giraud, M Boyer, M Clément Pattern Recognition Letters, 2020 | 3 | 2020 |
| Towards better interpretable and generalizable AD detection using collective artificial intelligence HD Nguyen, M Clément, B Mansencal, P Coupé Computerized Medical Imaging and Graphics, 2023 | 2 | 2023 |
| Super-attention for exemplar-based image colorization H Carrillo, M Clément, A Bugeau Asian Conference on Computer Vision (ACCV), 2022 | 1 | 2022 |
| Non-local matching of superpixel-based deep features for color transfer H Carrillo, M Clément, A Bugeau International Conference on Computer Vision Theory and Applications (VISAPP), 2022 | 1 | 2022 |
| Enlacement and interlacement shape descriptors M Clément, C Kurtz, L Wendling International Conference on Pattern Recognition and Artificial Intelligence …, 2020 | 1 | 2020 |
| What are the sparse components of 2D shapes? M Clément, JH Elder European Conference on Visual Perception (ECVP), 2018 | 1 | 2018 |
| Modélisation et apprentissage de relations spatiales pour la reconnaissance et l’interprétation d’images M Clément Université Sorbonne Paris Cité, 2017 | 1 | 2017 |
Camille KURTZProfessor of Computer Sciences, Université Paris CitéVerified email at parisdescartes.fr
