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eess.IV2024
Graph convolutional networks enable fast hemorrhagic stroke monitoring with electrical impedance tomography
J. Toivanen, V. Kolehmainen, A. Paldanius +3
Objective: To develop a fast image reconstruction method for stroke monitoring with electrical impedance tomography with image quality comparable to computationally expensive nonli…
eess.IV2024
Self-Supervised Denoiser Framework
Emilien Valat, Andreas Hauptmann, Ozan Öktem
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…