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2020 – today
- 2024
[c5]Thibault Sauron, Carole Lazarus, Laure Fournier, Camille Kurtz, Florence Cloppet:
SEQ-ALIGN: Self-Supervised Image Representation Learning from Multi-Sequence MRI. ISBI 2024: 1-4- 2023
- [c4]Thibault Sauron, Carole Lazarus, Camille Kurtz, Florence Cloppet:
Learning Representations for MR Image Retrieval: Contrastive Models Versus Other Supervision Strategies. ISBI 2023: 1-5 - 2020
- [j1]Carole Lazarus, Maximilian März, Pierre Weiss:
Correcting the Side Effects of ADC Filtering in MR Image Reconstruction. J. Math. Imaging Vis. 62(6-7): 1034-1047 (2020)
2010 – 2019
- 2019
- [c3]Jo Schlemper, Seyed Sadegh Mohseni Salehi, Prantik Kundu, Carole Lazarus, Hadrien Dyvorne, Daniel Rueckert, Michal Sofka:
Nonuniform Variational Network: Deep Learning for Accelerated Nonuniform MR Image Reconstruction. MICCAI (3) 2019: 57-64 - 2018
- [b1]Carole Lazarus:
Compressed Sensing in MRI: optimization-based design of k-space filling curves for accelerated MRI. (L'échantillonnage compressif en IRM: conception optimisée de trajectoires d'échantillonnage pour accélérer l'IRM). University of Paris-Saclay, France, 2018 - [c2]Hamza Cherkaoui, Loubna El Gueddari, Carole Lazarus, Antoine Grigis, Fabrice Poupon, Alexandre Vignaud, Samuel Farrens, Jean-Luc Starck, Philippe Ciuciu:
Analysis vs Synthesis-based Regularization for Combined Compressed Sensing and Parallel MRI Reconstruction at 7 Tesla. EUSIPCO 2018: 36-40 - [c1]Loubna El Gueddari, Carole Lazarus, H. Carrie, Alexandre Vignaud, Philippe Ciuciu:
Self-Calibrating Nonlinear Reconstruction Algorithms for Variable Density Sampling and Parallel Reception MRI. SAM 2018: 415-419
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