4 citations · 7 across the 3 of their papers we have counts for
3 papers
3D helical CT Reconstruction with a Memory Efficient Learned Primal-Dual Architecture
Jevgenija Rudzusika, Buda Bajić, Thomas Koehler +1
Deep learning based computed tomography (CT) reconstruction has demonstrated outstanding performance on simulated 2D low-dose CT data. This applies in particular to domain adapted…
Deep learning based dictionary learning and tomographic image reconstruction
Jevgenija Rudzusika, Thomas Koehler, Ozan Öktem
This work presents an approach for image reconstruction in clinical low-dose tomography that combines principles from sparse signal processing with ideas from deep learning. First,…
Accelerated Forward-Backward Optimization using Deep Learning
Sebastian Banert, Jevgenija Rudzusika, Ozan Öktem +1
We propose several deep-learning accelerated optimization solvers with convergence guarantees. We use ideas from the analysis of accelerated forward-backward schemes like FISTA, bu…