| 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 | 48 | 2021 |
| Secure architectures implementing trusted coalitions for blockchained distributed learning (TCLearn) S Lugan, P Desbordes, E Brion, LXR Tormo, A Legay, B Macq Ieee Access 7, 181789-181799, 2019 | 42 | 2019 |
| 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 Applied Sciences 10 (3), 1154, 2020 | 30 | 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 | 20 | 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 | 17 | 2018 |
| Improved 3D U-Net robustness against JPEG 2000 compression for male pelvic organ segmentation in radiotherapy K El Khoury, M Fockedey, E Brion, B Macq Journal of Medical Imaging 8 (4), 041207-041207, 2021 | 7 | 2021 |
| Deep learning for organ segmentation in radiotherapy: federated learning, contour propagation, and domain adaptation E Brion Ph. D. dissertation, PhD thesis, Université catholique de Louvain, 2020 | 2 | 2020 |
| Modeling patterns of anatomical deformations in prostate patients undergoing radiation therapy with an endorectal balloon E Brion, C Richter, B Macq, K Stützer, F Exner, E Troost, T Hölscher, ... Medical Imaging 2017: Image-Guided Procedures, Robotic Interventions, and …, 2017 | 2 | 2017 |
| Amélioration de la robustesse de l’U-Net 3D contre la compression JPEG2000 pour la segmentation des organes pelviens masculins. K El Khoury, M Fockedey, E Brion, B Macq CORESA 2021, 2021 | | 2021 |
Benoit MacqUniversité catholique de LouvainAdresse e-mail validée de uclouvain.be
