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Lepetit-Aimon, G., Boucher, M.-C., Duval, R., & Cheriet, F. (avril 2023). Steered Convolutional Neurons to Better Learn the Classification of Retinal Vessels [Communication écrite]. 20th IEEE International Symposium on Biomedical Imaging (ISBI 2023), Cartagena, Colombia (5 pages). Lien externe
Lepetit-Aimon, G., Duval, R., & Cheriet, F. (septembre 2018). Large Receptive Field Fully Convolutional Network for Semantic Segmentation of Retinal Vasculature in Fundus Images [Communication écrite]. 1st International Workshop on Computational Pathology (COMPAY 2018) and 5th International Workshop on Ophthalmic Medical Image Analysis (OMIA 2018), Granada, Spain. Lien externe
Playout, C., Duval, R., Boucher, M.-C., & Cheriet, F. (2022). Focused Attention in Transformers for interpretable classification of retinal images. Medical Image Analysis, 82, 102608 (13 pages). Lien externe
Playout, C., Duval, R., & Cheriet, F. (2019). A Novel Weakly Supervised Multitask Architecture for Retinal Lesions Segmentation on Fundus Images. IEEE Transactions on Medical Imaging, 38(10), 2434-2444. Lien externe
Playout, C., Duval, R., & Cheriet, F. (septembre 2018). A multitask learning architecture for simultaneous segmentation of bright and red lesions in fundus images [Communication écrite]. 21st International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2018), Granada, Spain. Lien externe
