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Youssef Skandarani
Youssef Skandarani
Verified email at etu.u-bourgogne.fr
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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
1652020
Gans for medical image synthesis: An empirical study
Y Skandarani, PM Jodoin, A Lalande
Journal of Imaging 9 (3), 69, 2023
1312023
Deep learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge
A Lalande, Z Chen, T Pommier, T Decourselle, A Qayyum, M Salomon, ...
Medical Image Analysis 79, 102428, 2022
382022
Automated segmentation of normal and diseased coronary arteries–the asoca challenge
R Gharleghi, D Adikari, K Ellenberger, SY Ooi, C Ellis, CM Chen, R Gao, ...
Computerized Medical Imaging and Graphics 97, 102049, 2022
342022
Generative adversarial networks in cardiology
Y Skandarani, A Lalande, J Afilalo, PM Jodoin
Canadian Journal of Cardiology 38 (2), 196-203, 2022
312022
On the effectiveness of GAN generated cardiac MRIs for segmentation
Y Skandarani, N Painchaud, PM Jodoin, A Lalande
arXiv preprint arXiv:2005.09026, 2020
202020
Neural teleportation
M Armenta, T Judge, N Painchaud, Y Skandarani, C Lemaire, ...
Mathematics 11 (2), 480, 2023
102023
Automatic myocardial infarction evaluation from delayed-enhancement cardiac MRI using deep convolutional networks
KB Girum, Y Skandarani, R Hussain, AB Grayeli, G Créhange, A Lalande
Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC …, 2021
102021
GANs for Medical Image Synthesis: An Empirical Study, 2021
Y Skandarani, PM Jodoin, A Lalande
URL https://arxiv. org/abs/2105.05318, 0
5
Deep Learning Based Cardiac MRI Segmentation: Do We Need Experts?
Y Skandarani, PM Jodoin, A Lalande
Algorithms 14 (7), 212, 2021
22021
Detection and severity quantification of pulmonary embolism with 3D CT data using an automated deep learning-based artificial solution
A Djahnine, C Lazarus, M Lederlin, S Mulé, R Wiemker, S Si-Mohamed, ...
Diagnostic and Interventional Imaging 105 (3), 97-103, 2024
12024
Segmentation d'IRM cardiovasculaire utilisant des méthodes d'intelligence artificielle.
Y Skandarani
2021
Automatic Myocardial Infarction Evaluation from Delayed-Enhancement Cardiac MRI using Deep Convolutional Networks
K Berihu Girum, Y Skandarani, R Hussain, A Bozorg Grayeli, G Créhange, ...
arXiv e-prints, arXiv: 2010.16198, 2020
2020
4FMFES and FDG-PET imaging in endometrial cancer patients: preliminary assessment
M Paquette, G Filiz, M Roy, N Quaegebeur, N Moghadam, H Belgharbi, ...
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