3 papers
eess.IV2025
Improving the Generalisation of Learned Reconstruction Frameworks
Emilien Valat, Ozan Ãktem
Ensuring proper generalization is a critical challenge in applying data-driven methods for solving inverse problems in imaging, as neural networks reconstructing an image must perf…
physics.med-ph2024
TIGRE v3: Efficient and easy to use iterative computed tomographic reconstruction toolbox for real datasets
Ander Biguri, Tomoyuki Sadakane, Reuben Lindroos +11
Computed Tomography (CT) has been widely adopted in medicine and it is increasingly being used in scientific and industrial applications. Parallelly, research in different mathemat…
eess.IV2024
Self-Supervised Denoiser Framework
Emilien Valat, Andreas Hauptmann, Ozan Ãktem
Reconstructing images using Computed Tomography (CT) in an industrial context leads to specific challenges that differ from those encountered in other areas, such as clinical CT. I…