most citedQuantitative MR Image Reconstruction using Parameter-Specific Dictionary Learning with Adaptive Dictionary-Size and Sparsity-Level Choice

5 citations · 5 across the 3 of their papers we have counts for

collaborators

3 papers

eess.IV2023★ 5 cited

Quantitative MR Image Reconstruction using Parameter-Specific Dictionary Learning with Adaptive Dictionary-Size and Sparsity-Level Choice

Andreas Kofler, Kirsten Miriam Kerkering, Laura Göschel +2

Objective: We propose a method for the reconstruction of parameter-maps in Quantitative Magnetic Resonance Imaging (QMRI). Methods: Because different quantitative parameter-maps di…

math.OC2023

Unrolled three-operator splitting for parameter-map learning in Low Dose X-ray CT reconstruction

Andreas Kofler, Fabian Altekrüger, Fatima Antarou Ba +6

We propose a method for fast and automatic estimation of spatially dependent regularization maps for total variation-based (TV) tomography reconstruction. The estimation is based o…

math.OC2023

Learning Regularization Parameter-Maps for Variational Image Reconstruction using Deep Neural Networks and Algorithm Unrolling

Andreas Kofler, Fabian Altekrüger, Fatima Antarou Ba +6

We introduce a method for fast estimation of data-adapted, spatio-temporally dependent regularization parameter-maps for variational image reconstruction, focusing on total variati…