Cardiac MRI Segmentation with Strong Anatomical Guarantees. - Nathan Painchaud; Youssef Skandarani; Thierry Judge; Olivier Bernard 001; Alain Lalande; Pierre-Marc Jodoin (MICCAI (2), 2019)

Automatic Myocardial Infarction Evaluation from Delayed-Enhancement Cardiac MRI Using Deep Convolutional Networks. - Kibrom Berihu Girum; Youssef Skandarani; Raabid Hussain; Alexis Bozorg Grayeli; Gilles Créhange; Alain Lalande (M&Ms and EMIDEC/STACOM@MICCAI, 2020)

On the effectiveness of GAN generated cardiac MRIs for segmentation. - Youssef Skandarani; Nathan Painchaud; Pierre-Marc Jodoin; Alain Lalande (CoRR, 2020)

Neural Teleportation. - Marco Antonio Armenta; Thierry Judge; Nathan Painchaud; Youssef Skandarani; Carl Lemaire; Gabriel Gibeau Sanchez; Philippe Spino; Pierre-Marc Jodoin (CoRR, 2020)

Cardiac Segmentation With Strong Anatomical Guarantees. - Nathan Painchaud; Youssef Skandarani; Thierry Judge; Olivier Bernard 001; Alain Lalande; Pierre-Marc Jodoin (IEEE Trans. Medical Imaging, 2020)

Deep Learning Based Cardiac MRI Segmentation: Do We Need Experts? - Youssef Skandarani; Pierre-Marc Jodoin; Alain Lalande (Algorithms, 2021)

Automated segmentation of normal and diseased coronary arteries - The ASOCA challenge. - Ramtin Gharleghi; Dona Adikari; Katy Ellenberger; Sze-Yuan Ooi; Chris Ellis; Chung-Ming Chen; Ruochen Gao; Yuting He; Raabid Hussain; Chia-Yen Lee; Jun Li 103; Jun Ma 016; et al. (Comput. Medical Imaging Graph., 2022)

Deep learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge. - Alain Lalande; Zhihao Chen 005; Thibaut Pommier; Thomas Decourselle; Abdul Qayyum; Michel Salomon; Dominique Ginhac; Youssef Skandarani; Arnaud Boucher; Khawla Brahim; Marleen de Bruijne; Robin Camarasa; et al. (Medical Image Anal., 2022)

GANs for Medical Image Synthesis: An Empirical Study. - Youssef Skandarani; Pierre-Marc Jodoin; Alain Lalande (J. Imaging, 2023)