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Laboratoire de recherche

UMR 6602 - UCA/CNRS
Tutelle secondaire CHU Clermont-Ferrand
Membre de Clermont Auvergne INP

DEBROUX Noémie


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Fonction : Permanent (UCA)
Lieu d'exercice : IUT Le Puy-en-Velay
Equipe : CaVITI (TGI)
Section CNU : 61
Téléphone : +33



Publications associées :
8 publications trouvées


2021
ACL
AVILES-RIVERO A., DEBROUX N., WILLIAMS G., GRAVES M., SCH\ONLIEB C.
Compressed sensing plus motion (cs~+~m): a new perspective for improving undersampled mr image reconstruction
medical image analysis, vol. 68, p. 101933
2021 feb



SCHMODERER T., AVILES-RIVERO A., CORONA V., DEBROUX N., SCH\ONLIEB C.
Learning optical flow for fast mri reconstruction
inverse problems, vol. 37, p. 095007
2021 aug



CORONA V., AVILES-RIVERO A., DEBROUX N., LE GUYADER C., SCH\ONLIEB C.
Variational multi-task mri reconstruction: joint reconstruction, registration and super-resolution
medical image analysis, vol. 68, p. 101941
2021 feb



OS
CHEN K., DEBROUX N., LE GUYADER C.
A Survey of Topology and Geometry-Constrained Segmentation Methods in Weakly Supervised Settings
Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging - Springer Springer
2021



DEBROUX N., LE GUYADER C., VESE L.
Multiscale registration
scale space and variational methods in computer vision springer international publishing
2021 apr



2020
ACL
DEBROUX N., LE GUYADER C., VESE L.
A nonlocal laplacian-based model for bituminous surfacing crack recovery and its mpi implementation
journal of mathematical imaging and vision, vol. 62, p. 1007
2020 jun



DEBROUX N., ASTON J., BONARDI F., FORBES A., LE GUYADER C., ROMANCHIKOVA M., SCH\ONLIEB C.
A variational model dedicated to joint segmentation, registration, and atlas generation for shape analysis
siam journal on imaging sciences, vol. 13, p. 351
2020 jan



ACTI
DEBROUX N., LIENEMANN G., MAGNIN B., LE GUYADER C., VACAVANT A.
A time-dependent joint segmentation and registration model: application to longitudinal registration of hepatic dce-mri sequences
international conference on image processing theory, tools and applications
2020 nov





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