Jean Léger
Jean Léger
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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
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
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
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
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
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
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
Multiple object tracking combining camera and radar
C Deleval, M Lahy, C Craeye, B Macq
PhD thesis, Université catholique de Louvain, 2017
Training biomedical image segmentation CNNs with scarce, cross-domain, prior, or noisy supervision
J Léger
UCL-Université Catholique de Louvain, 2021
Detecting Material State Changes in the Nucleolus by Label-free Digital Holographic Microscopy
DLJ Lafontaine, C Zorbas, A Soenmez, J Léger, C De Vleeschouwer
bioRxiv, 2023.03. 17.533098, 2023
Radar target classification based on micro-Doppler signature analysis
J Léger, C Craeye, L Vandendorpe
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