Publications

Journals

• M. Cachia, V. Stergiopoulou, L. Calatroni, S. Schaub, and L. Blanc-Féraud. (2023). Fluorescence image deconvolution microscopy via generative adversarial learning (FluoGAN). Inverse Problems, vol. 39, num. 5. doi: 10.1088/1361-6420/acc889 [hal] [code]

• V. Stergiopoulou, L. Calatroni, H. de Morais Goulart, S. Schaub, and L. Blanc-Féraud. (2022). COL0RME: Super-resolution microscopy based on sparse blinking/fluctuating fluorophore localization and intensity estimation. Biological Imaging, vol. 2, e1. doi: 10.1017/S2633903X22000010 [hal] [code]

Proceedings

• V. Stergiopoulou, S. Mukherjee, L. Calatroni, and L. Blanc-Féraud. (2023). Fluctuation-Based Deconvolution in Fluorescence Microscopy Using Plug-and-Play Denoisers. In Scale Space and Variational Methods in Computer Vision (SSVM): 9th International Conference, pp. 498-510. doi: 10.1007/978-3-031-31975-4_38 [hal]

• V. Stergiopoulou, L. Calatroni, S. Schaub, and L. Blanc-Féraud. (2022). 3D image super-resolution by fluorophore fluctuations and MA-TIRF microscopy reconstruction (3D-COL0RME). In 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), pp. 1–4. doi: 10.1109/ISBI52829.2022.9761572 [hal] Best-Paper Runner-Up Award

• V. Stergiopoulou, J. H. de Morais Goulart, S. Schaub, L. Calatroni, and L. Blanc-Féraud. (2021). COL0RME: Covariancebased l0 super-resolution microscopy with intensity estimation. In 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), pp. 349–352. doi: 10.1109/ISBI48211.2021.9433976 [hal] [code]