activity
20182020
most citedEnhancing joint reconstruction and segmentation with non-convex Bregman iteration

24 citations · 30 across the 6 of their papers we have counts for

collaborators

7 papers

eess.IV2020

Regularized Compression of MRI Data: Modular Optimization of Joint Reconstruction and Coding

Veronica Corona, Yehuda Dar, Guy Williams +1

The Magnetic Resonance Imaging (MRI) processing chain starts with a critical acquisition stage that provides raw data for reconstruction of images for medical diagnosis. This flow…

math.NA2020★ 6 cited

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,…

eess.IV2019

Variational Multi-Task MRI Reconstruction: Joint Reconstruction, Registration and Super-Resolution

Veronica Corona, Angelica I. Aviles-Rivero, Noémie Debroux +2

Motion degradation is a central problem in Magnetic Resonance Imaging (MRI). This work addresses the problem of how to obtain higher quality, super-resolved motion-free, reconstruc…

eess.IV2019

Joint phase reconstruction and magnitude segmentation from velocity-encoded MRI data

Veronica Corona, Martin Benning, Lynn F. Gladden +3

Velocity-encoded MRI is an imaging technique used in different areas to assess flow motion. Some applications include medical imaging such as cardiovascular blood flow studies, and…

math.NA2019

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…

cs.CV2018

A multi-contrast MRI approach to thalamus segmentation

Veronica Corona, Jan Lellmann, Peter Nestor +2

Thalamic alterations are relevant to many neurological disorders including Alzheimer's disease, Parkinson's disease and multiple sclerosis. Routine interventions to improve symptom…

math.NA2018★ 24 cited

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…