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Eliott Brion


PhD student at Université catholique de Louvain under supervision of Pr Benoit Macq and Pr John Lee. My research focuses on using deep learning to accelerate the transition towards adaptive radiotherapy. To this end, I currently develop algorithms to automatically contour tumors and organs in volumetric CT scans. This will allow adaptive treatments that better target the tumor while sparing healthy organs.





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



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



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



Brion, Eliott ; Richter, Christian ; Macq, Benoît ; Stützer, Kristin ; Exner, Florian ; Troost, Esther ; Hölscher, Tobias ; Bondar, Maria Luiza. Modeling patterns of anatomical deformations in prostate patients undergoing radiation therapy with an endorectal balloon in Proceedings Volume 10135, Medical Imaging 2017: Image-Guided Procedures, Robotic Interventions, and ModelingSPIE Medical Imaging, Orlando, Florida, USA, du 10/02/2018 au 15/02/2018