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Displaying 8 results.
    • Journal article
    Cross-domain data augmentation for deep-learning-based male pelvic organ segmentation in cone beam CT
    Léger, Jean[UCL] Brion, Eliott[UCL] Desbordes, Paul[UCL] De Vleeschouwer, Christophe[UCL] Lee, John Aldo[UCL] Macq, Benoît[UCL] (2020) Applied Sciences — (2020)
    • Journal article
    Domain adversarial networks and intensity-based data augmentation for male pelvic organ segmentation in cone beam CT
    Brion, Eliott[UCL] Léger, Jean[UCL] Barragan Montero, Ana Maria[UCL] Meert, Nicolas[UCL] Lee, John Aldo[UCL] Macq, Benoît[UCL] (2021) Computers in Biology and Medicine — Vol. 131, no. 1, p. 104269 [1-12] (2021)
    • Dissertation
    Deep learning for organ segmentation in radiotherapy : federated learning, contour propagation, and domain adaptation
    Brion, Eliott[UCL] (2021)
    • Speech
    Amélioration de la robustesse de l’U-Net 3D contre la compression JPEG2000 pour la segmentation des organes pelviens masculins.
    El Khoury, Karim[UCL] Fockedey, Martin Brion, Eliott Macq, Benoît[UCL] (2021) CORESA 2021 — Sophia Antipolis, France
    • Speech
    Using planning CTs to enhance CNN-based bladder segmentation on Cone Beam CT
    Brion, Eliott[UCL] Léger, Jean[UCL] Javaid, Umair[UCL] Lee, John Aldo[UCL] De Vleeschouwer, Christophe[UCL] Macq, Benoît[UCL] (2019) SPIE Medical Imaging 2019 — San Diego, California, United States
    • Speech
    Modeling patterns of anatomical deformations in prostate patients undergoing radiation therapy with an endorectal balloon
    Brion, Eliott[UCL] Richter, Christian Macq, Benoît[UCL] Stützer, Kristin Exner, Florian Troost, Esther Hölscher, Tobias Bondar, Maria Luiza (2017) SPIE Medical Imaging — Orlando, Florida, USA
    • Speech
    Contour Propagation in CT Scans with Convolutional Neural Networks
    Léger, Jean[UCL] Brion, Eliott[UCL] Javaid, Umair[UCL] Lee, John Aldo[UCL] De Vleeschouwer, Christophe[UCL] Macq, Benoît[UCL] (2018) Advanced Concepts for Intelligent Vision Systems — France
    • Journal article
    Improved 3D U-Net robustness against JPEG 2000 compression for male pelvic organ segmentation in radiotherapy
    El Khoury, Karim[UCL] Fockedey, Martin Brion, Eliott[UCL] Macq, Benoît[UCL] (2021) Journal of Medical Imaging — Vol. 8, no.4 (2021)