Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Debroux, Noemie"'
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 self-supervised deep learning. One major benefit of our method lies in t
Externí odkaz:
http://arxiv.org/abs/2309.10511
Autor:
Zou, Jing, Debroux, Noémie, Liu, Lihao, Qin, Jing, Schönlieb, Carola-Bibiane, Aviles-Rivero, Angelica I
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 approaches have been widely studied for deformable medical image registrati
Externí odkaz:
http://arxiv.org/abs/2303.08113
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 more dominant specular reflections, causing information loss and disconti
Externí odkaz:
http://arxiv.org/abs/1912.07764
Autor:
Corona, Veronica, Aviles-Rivero, Angelica I., Debroux, Noémie, Guyader, Carole Le, Schönlieb, Carola-Bibiane
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, reconstructions from highly undersampled MRI data. In this work, we present for
Externí odkaz:
http://arxiv.org/abs/1908.05911
Autor:
Debroux, Noémie, Aston, John, Bonardi, Fabien, Forbes, Alistair, Guyader, Carole Le, Romanchikova, Marina, Schönlieb, Carola
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 a population, and to characterise and understand how structural shape
Externí odkaz:
http://arxiv.org/abs/1907.01840
Autor:
Corona, Veronica, Aviles-Rivero, Angelica I., Debroux, Noemie, Graves, Martin, Guyader, Carole Le, Schoenlieb, Carola-Bibiane, Williams, Guy
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 multiple MR acquisitions corrupted by motion, we aim at - jointly - rec
Externí odkaz:
http://arxiv.org/abs/1902.10025
Autor:
Aviles-Rivero, Angelica I., Debroux, Noémie, Williams, Guy, Graves, Martin J., Schonlieb, Carola-Bibiane
We address the problem of reconstructing high quality images from undersampled MRI data. This is a challenging task due to the highly ill-posed nature of the problem. In particular, in dynamic MRI scans, the interaction between the target structure a
Externí odkaz:
http://arxiv.org/abs/1810.10828
Autor:
Carré, Christophe, Debroux, Noemie, Deneufchatel, Matthieu, Dubernard, Jean-Philippe, Hillaret, Conrad, Luque, Jean-Gabriel, Mallet, Olivier
We investigate the enumeration of two families of polycubes, namely pyramids and espaliers, in connection with the multi-indexed Dirichlet convolution
Externí odkaz:
http://arxiv.org/abs/1311.4836
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