 | Monter d'un niveau |
Abdelsalam, A. M., Boulet, F., Demers, G., Langlois, J. M. P., & Cheriet, F. (décembre 2018). An Efficient FPGA-based Overlay Inference Architecture for Fully Connected DNNs [Communication écrite]. International Conference on ReConFigurable Computing and FPGAs (ReConFig 2018), Cancun, Mexico (6 pages). Lien externe
Abdolmanafi, A., Duong, L., Dahdah, N., Adib, I. R., & Cheriet, F. (2018). Characterization of coronary artery pathological formations from OCT imaging using deep learning. Biomedical Optics Express, 9(10), 4936-4960. Lien externe
Beauchemin, P. F., Bayly, P. V., Garbow, J. R., Schmidt, J. L. S., Okamoto, R. J., Cheriet, F., & Périé-Curnier, D. (2018). Frequency-dependent shear properties of annulus fibrosus and nucleus pulposus by magnetic resonance elastography. NMR in Biomedicine, 31(10), 8 pages. Lien externe
Bendaoudi, H., Cheriet, F., Manraj, A., Ben Tahar, H., & Langlois, J. M. P. (2018). Flexible architectures for retinal blood vessel segmentation in high-resolution fundus images. Journal of Real-Time Image Processing, 15(1), 31-42. Lien externe
Chevrefils, C., Périé-Curnier, D., Parent, S., & Cheriet, F. (2018). To distinguish flexible and rigid lumbar curve from MRI texture analysis in adolescent idiopathic scoliosis: A feasibility study. Journal of Magnetic Resonance Imaging, 48(1), 178-187. Lien externe
Damseh, R., Cheriet, F., & Lesage, F. (juillet 2018). Fully Convolutional DenseNets for Segmentation of Microvessels in Two-photon Microscopy [Communication écrite]. 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2018), Honolulu, HI. Lien externe
Girard, F., Kavalec, C., & Cheriet, F. (2018). Statistical atlas-based descriptor for an early detection of optic disc abnormalities. Journal of Medical Imaging, 5(1), 014006 (14 pages). Disponible
Khomri, B., Christodoulidis, A., Djerou, L., Babahenini, M. C., & Cheriet, F. (2018). Particle swarm optimization method for small retinal vessels detection on multiresolution fundus images. Journal of Biomedical Optics, 23(5), 13 pages. Lien externe
Khomri, B., Christodoulidis, A., Djerou, L., Babahenini, M. C., & Cheriet, F. (2018). Retinal blood vessel segmentation using the elite-guided multi-objective artificial bee colony algorithm. IET Image Processing, 12(12), 2163-2171. 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., & 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
