| Domain adversarial networks and intensity-based data augmentation for male pelvic organ segmentation in cone beam CT E Brion, J Léger, AM Barragán-Montero, N Meert, JA Lee, B Macq Computers in Biology and Medicine 131, 104269, 2021 | 40 | 2021 |
| Cross-domain data augmentation for deep-learning-based male pelvic organ segmentation in cone beam CT J Léger, E Brion, P Desbordes, C De Vleeschouwer, JA Lee, B Macq Accepted to Applied Sciences, 2020 | 26 | 2020 |
| Using planning CTs to enhance CNN-based bladder segmentation on cone beam CT E Brion, J Léger, U Javaid, J Lee, C De Vleeschouwer, B Macq Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and …, 2019 | 19 | 2019 |
| Contour propagation in CT scans with convolutional neural networks J Léger, E Brion, U Javaid, J Lee, C De Vleeschouwer, B Macq Advanced Concepts for Intelligent Vision Systems: 19th International …, 2018 | 16 | 2018 |
| Deep learning-based segmentation of mineralized cartilage and bone in high-resolution micro-CT images J Léger, L Leyssens, C De Vleeschouwer, G Kerckhofs Computer Methods, Imaging and Visualization in Biomechanics and Biomedical …, 2020 | 6 | 2020 |
| Ensemble learning and test-time augmentation for the segmentation of mineralized cartilage versus bone in high-resolution microCT images J Léger, L Leyssens, G Kerckhofs, C De Vleeschouwer Computers in Biology and Medicine 148, 105932, 2022 | 2 | 2022 |
| Analytical formulation for the micro-Doppler spectrum for rotating targets in the near-field J Léger, T Pairon, C Craeye 2017 11th European Conference on Antennas and Propagation (EUCAP), 885-888, 2017 | 2 | 2017 |
| Multiple object tracking combining camera and radar C Deleval, M Lahy, C Craeye, B Macq PhD thesis, Université catholique de Louvain, 2017 | 2 | 2017 |
| Detecting Material State Changes in the Nucleolus by Label-free Digital Holographic Microscopy C Zorbas, A Soenmez, J Léger, C De Vleeschouwer, DLJ Lafontaine BioRxiv, 2023.03. 17.533098, 2023 | 1 | 2023 |
| Training biomedical image segmentation CNNs with scarce, cross-domain, prior, or noisy supervision J Léger UCL-Université Catholique de Louvain, 2021 | 1 | 2021 |
| Radar target classification based on micro-Doppler signature analysis J Léger, C Craeye, L Vandendorpe | | |
Christophe De VleeschouwerProfessor, ICTEAM, EPL, Université catholique de LouvainVerified email at uclouvain.be
