Abstract. Neural networks are playing a crucial role in everyday life, with the most modern generative models able to achieve…
Abstract. The Plug-and-Play framework has demonstrated that a denoiser can implicitly serve as the image prior for model-based methods for…
Abstract. Medical imaging is nowadays a pillar in diagnostics and therapeutic follow-up. Current research tries to integrate established – but…
Abstract. Regularization by Denoising (RED) is a well-known method for solving image restoration problems by using learned image denoisers as…
Abstract. Regularization by Denoising (RED) is a well-known method for solving image restoration problems by using learned image denoisers as…
I will give a talk at the Applied Inverse Problems 2023 conference in the minisimposium Robustness and reliability of Deep…
Abstract. Crop protection from diseases through applications of plant protection products is crucial to secure worldwide food production. Nevertheless, sustainable…
Abstract. Blind Deconvolution problem is a challenging task in several scientific imaging domains, such as Microscopy, Medicine and Astronomy. The…
Abstract. Image segmentation is a key topic in image processing and computer vision and several approaches have been proposed in…
Abstract. Blind Deconvolution problem is a challenging task in several scientific imaging domains, such as Microscopy, Medicine and Astronomy. The…