DESCRIPTION :
A different and increasingly popular class of methods producing outstanding results in many applied fields is based on the use of modern generative learning approaches. Among them, diffusion models [4] have attracted the attention of several researchers working in the field of inverse problems due to their ability of combining variational inference approaches with the ability of neural networks to learn unknown posterior distributions distributions. Their use in the field of image microscopy, however, remains limited., [1] V. Stergiopoulou, L. Calatroni, H. de Morais Goulart, S. Schaub, and L. Blanc-Féraud, "Col0rme: Super-resolution microscopy based on sparse blinking/fluctuating fluorophore localization and intensity estimation," Biomedical Imaging, vol. 2, 2022.
[2] M. Cachia, V. Stergiopoulou, L. Calatroni, S. Schaub, and L. Blanc-Féraud, "Fluorescence image deconvolution microscopy via generative adversarial learning (FluoGAN)," Inverse Problems, vol. 39, no. 5, 2023.
[3] V. Stergiopoulou, S. Mukherjee, L. Calatroni, and L. Blanc-Féraud, "Fluctuation-based deconvolution in fluorescence microscopy using plug-and-play denoisers," in Scale Space and Variational Methods in Computer Vision, 2023.
[4] S. Y, J. Sohl-Dickstein, D. Kingma, A. Kumar, S. Ermon, and B. Poole, "Score-based generative modeling through stochastic differential equations," 2021.
[5] H. Chung, J. Kim, M. McCann, M. Klasky, and J. C. Ye, "Diffusion posterior sampling for general noisy inverse problems," 2023.
Code d'emploi : Thésard (h/f)
Niveau de formation : Bac+5
Temps partiel / Temps plein : Plein temps
Type de contrat : Contrat à durée déterminée (CDD)
Compétences : Réseaux de Neurones Artificiels, Vision par Ordinateur, Simulation Informatique, Python (Langage de Programmation), MATLAB, Pytorch, Deep Learning, Technologies Informatiques, Equation Differentielle Stochastique, Mathématiques Appliquées, Biologie, Imagerie Médicale, Fluorescence, Traitement d'Image, Imagerie, Science des Données
Courriel :
xavier.descombes@inria.fr
Téléphone :
0139635511
Type d'annonceur : Employeur direct