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Jean Léger

F.R.S.-FNRS Research Fellow

Jean Léger received his Electrical Engineering Master’s degree from Université catholique de Louvain in 2016. He is currently doing a PhD thesis under the supervision of Benoit Macq (UCL) and Christophe De Vleeschouwer (UCL). His current research aims at a better understanding and the design of (deep) machine learning architectures for computer vision applications. His work focuses on adaptive radiotherapy where tumors and organs have to be automatically segmented on CT and CBCT images acquired during the treatment. His is also an active member of the Deep Learning Academy. 

 

Acknowledgments: this research is supported by a Research Fellow grant from Fonds de la Recherche Scientifique (F.R.S.-FNRS).

Publications

2022

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Léger, Jean ; Leyssens, Lisa ; Kerckhofs, Greet ; De Vleeschouwer, Christophe. Ensemble learning and test-time augmentation for the segmentation of mineralized cartilage versus bone in high-resolution microCT images in Computers in Biology and Medicine

2021

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Brion, Eliott ; Léger, Jean ; Barragan Montero, Ana Maria ; Meert, Nicolas ; Lee, John Aldo ; Macq, Benoît. Domain adversarial networks and intensity-based data augmentation for male pelvic organ segmentation in cone beam CT in Computers in Biology and Medicine

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Léger, Jean. Training biomedical image segmentation CNNs with scarce, cross-domain, prior, or noisy supervision - Thèse (Dissertation)

2020

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Léger, Jean ; Brion, Eliott ; Desbordes, Paul ; De Vleeschouwer, Christophe ; Lee, John Aldo ; Macq, Benoît. Cross-domain data augmentation for deep-learning-based male pelvic organ segmentation in cone beam CT in Applied Sciences

2019

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Léger, Jean ; Leyssens, Lisa ; De Vleeschouwer, Christophe ; Kerckhofs, Greet. Deep learning-based segmentation of mineralized cartilage and bone in high-resolution micro-CT images in 16th International Symposium on Computer Methods in Biomechanics and Biomedical Engineering, New York City, du 14/08/2019 au 16/08/2019

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Brion, Eliott ; Léger, Jean ; Javaid, Umair ; Lee, John Aldo ; De Vleeschouwer, Christophe ; Macq, Benoît. Using planning CTs to enhance CNN-based bladder segmentation on Cone Beam CT in Proceedings of SPIE Medical Imaging 2019SPIE Medical Imaging 2019, San Diego, California, United States, du 16/02/2019 au 21/02/2019

2018

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Léger, Jean ; Brion, Eliott ; Javaid, Umair ; Lee, John Aldo ; De Vleeschouwer, Christophe ; Macq, Benoît. Contour Propagation in CT Scans with Convolutional Neural Networks in Advanced Concepts for Intelligent Vision Systems, France, du 24/09/2018 au 27/09/2018

2017

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Léger, Jean ; Pairon, Thomas ; Craeye, Christophe. Analytical Formulation for the micro-Doppler Spectrum for Rotating Targets in the Near-Field in 11th European Conference on Antennas and Propagation - EUCAP 2017 , Paris, France, du 19/03/2017 au 24/03/2017

2016

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Léger, Jean ; Craeye, Christophe ; Vandendorpe, Luc. Radar target classification based on micro-Doppler signature analysis - Mémoire (Thesis)