6 citations · 7 across the 8 of their papers we have counts for
8 papers
Self2Seg: Single-Image Self-Supervised Joint Segmentation and Denoising
Nadja Gruber, Johannes Schwab, Noémie Debroux +2
We develop Self2Seg, a self-supervised method for the joint segmentation and denoising of a single image. To this end, we combine the advantages of variational segmentation with se…
Learning Homeomorphic Image Registration via Conformal-Invariant Hyperelastic Regularisation
Jing Zou, Noémie Debroux, Lihao Liu +3
Deformable image registration is a fundamental task in medical image analysis and plays a crucial role in a wide range of clinical applications. Recently, deep learning-based appro…
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,…
Dim the Lights! -- Low-Rank Prior Temporal Data for Specular-Free Video Recovery
Samar M. Alsaleh, Angelica I. Aviles-Rivero, Noemie Debroux +1
The appearance of an object is significantly affected by the illumination conditions in the environment. This is more evident with strong reflective objects as they suffer from mor…
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…
A Variational Model Dedicated to Joint Segmentation, Registration and Atlas Generation for Shape Analysis
Noémie Debroux, John Aston, Fabien Bonardi +4
In medical image analysis, constructing an atlas, i.e. a mean representative of an ensemble of images, is a critical task for practitioners to estimate variability of shapes inside…
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…
Dirichlet convolution and enumeration of pyramid polycubes
Christophe Carré, Noemie Debroux, Matthieu Deneufchatel +4
We investigate the enumeration of two families of polycubes, namely pyramids and espaliers, in connection with the multi-indexed Dirichlet convolution