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Nathan Painchaud
Nathan Painchaud
PhD in Computer Science, Université de Sherbrooke / INSA Lyon
Verified email at usherbrooke.ca - Homepage
Title
Cited by
Cited by
Year
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
1822020
Echocardiography segmentation with enforced temporal consistency
N Painchaud, N Duchateau, O Bernard, PM Jodoin
IEEE Transactions on Medical Imaging 41 (10), 2867-2878, 2022
362022
On the effectiveness of GAN generated cardiac MRIs for segmentation
Y Skandarani, N Painchaud, PM Jodoin, A Lalande
arXiv preprint arXiv:2005.09026, 2020
212020
Neural teleportation
M Armenta, T Judge, N Painchaud, Y Skandarani, C Lemaire, ...
Mathematics 11 (2), 480, 2023
112023
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
52023
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
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