Cardiac segmentation with strong anatomical guarantees N Painchaud, Y Skandarani, T Judge, O Bernard, A Lalande, PM Jodoin IEEE transactions on medical imaging 39 (11), 3703-3713, 2020 | 185 | 2020 |
Echocardiography segmentation with enforced temporal consistency N Painchaud, N Duchateau, O Bernard, PM Jodoin IEEE Transactions on Medical Imaging 41 (10), 2867-2878, 2022 | 38 | 2022 |
On the effectiveness of GAN generated cardiac MRIs for segmentation Y Skandarani, N Painchaud, PM Jodoin, A Lalande arXiv preprint arXiv:2005.09026, 2020 | 23 | 2020 |
Neural teleportation M Armenta, T Judge, N Painchaud, Y Skandarani, C Lemaire, ... Mathematics 11 (2), 480, 2023 | 11 | 2023 |
Extraction of volumetric indices from echocardiography: which deep learning solution for clinical use? HJ Ling, N Painchaud, PY Courand, PM Jodoin, D Garcia, O Bernard International Conference on Functional Imaging and Modeling of the Heart …, 2023 | 5 | 2023 |
Fusing Echocardiography Images and Medical Records for Continuous Patient Stratification N Painchaud, PY Courand, PM Jodoin, N Duchateau, O Bernard arXiv preprint arXiv:2401.07796, 2024 | | 2024 |
Deep Manifold Learning for Improved High Blood Pressure Characterization Using Echocardiography N Painchaud Université de Sherbrooke / INSA Lyon, 2024 | | 2024 |
Cardiac MRI Segmentation with Strong Anatomical Guarantees N Painchaud, Y Skandarani, T Judge, O Bernard, A Lalande, PM Jodoin International Conference on Medical Image Computing and Computer-Assisted …, 2019 | | 2019 |