24 citations · 30 across the 6 of their papers we have counts for
3 papers · 1 filter
Learning Optical Flow for Fast MRI Reconstruction
T. Schmoderer, A. I Aviles-Rivero, V. Corona +2
Reconstructing high-quality magnetic resonance images (MRI) from undersampled raw data is of great interest from both technical and clinical point of views. To this date, however,…
Multi-tasking to Correct: Motion-Compensated MRI via Joint Reconstruction and Registration
Veronica Corona, Angelica I. Aviles-Rivero, Noemie Debroux +4
This work addresses a central topic in Magnetic Resonance Imaging (MRI) which is the motion-correction problem in a joint reconstruction and registration framework. From a set of m…
Enhancing joint reconstruction and segmentation with non-convex Bregman iteration
Veronica Corona, Martin Benning, Matthias J. Ehrhardt +6
All imaging modalities such as computed tomography (CT), emission tomography and magnetic resonance imaging (MRI) require a reconstruction approach to produce an image. A common im…