A novel weakly supervised multitask architecture for retinal lesions segmentation on fundus images C Playout, R Duval, F Cheriet IEEE transactions on medical imaging 38 (10), 2434-2444, 2019 | 83 | 2019 |
A multitask learning architecture for simultaneous segmentation of bright and red lesions in fundus images C Playout, R Duval, F Cheriet Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 47 | 2018 |
Focused attention in transformers for interpretable classification of retinal images C Playout, R Duval, MC Boucher, F Cheriet Medical Image Analysis 82, 102608, 2022 | 30 | 2022 |
Adaptable deformable convolutions for semantic segmentation of fisheye images in autonomous driving systems C Playout, O Ahmad, F Lecue, F Cheriet arXiv preprint arXiv:2102.10191, 2021 | 19 | 2021 |
Automatic segmentation of the scoliotic spine from mr images N Guerroumi, C Playout, C Laporte, F Cheriet 2019 IEEE 16th international symposium on biomedical imaging (ISBI 2019 …, 2019 | 17 | 2019 |
Latent space representation and RNN for Image-based Typhoon Intensity Analysis and Prediction C Playout, A Kitamoto Proceedings of the 9th International Workshop on Climate Informatics, 47-52, 2019 | 2 | 2019 |
Système d'Apprentissage Multitâche Dédié à la Segmentation des Lésions Sombres et Claires de la Rétine dans les Images de Fond d'Oeil C Playout Ecole Polytechnique, Montreal (Canada), 2018 | 1 | 2018 |
MAPLES-DR: MESSIDOR Anatomical and Pathological Labels for Explainable Screening of Diabetic Retinopathy G Lepetit-Aimon, C Playout, MC Boucher, R Duval, MH Brent, F Cheriet arXiv preprint arXiv:2402.04258, 2024 | | 2024 |
Modélisation interprétable du diagnostic de pathologies rétiniennes par apprentissage profond C Playout Polytechnique Montréal, 2023 | | 2023 |