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eess.IV2023
Domain independent post-processing with graph U-nets: Applications to Electrical Impedance Tomographic Imaging
William Herzberg, Andreas Hauptmann, Sarah J. Hamilton
Reconstruction of tomographic images from boundary measurements requires flexibility with respect to target domains. For instance, when the system equations are modeled by partial…
eess.IV2023★ 2 cited
Model-corrected learned primal-dual models for fast limited-view photoacoustic tomography
Andreas Hauptmann, Jenni Poimala
Learned iterative reconstructions hold great promise to accelerate tomographic imaging with empirical robustness to model perturbations. Nevertheless, an adoption for photoacoustic…