Analysis vs Synthesis-based Regularization for Combined Compressed Sensing and Parallel MRI Reconstruction at 7 Tesla. - Hamza Cherkaoui; Loubna El Gueddari; Carole Lazarus; Antoine Grigis; Fabrice Poupon; Alexandre Vignaud; Samuel Farrens; Jean-Luc Starck; Philippe Ciuciu (EUSIPCO, 2018)

Self-Calibrating Nonlinear Reconstruction Algorithms for Variable Density Sampling and Parallel Reception MRI. - Loubna El Gueddari; Carole Lazarus; H. Carrie; Alexandre Vignaud; Philippe Ciuciu (SAM, 2018)

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). - Carole Lazarus (2018)

Nonuniform Variational Network: Deep Learning for Accelerated Nonuniform MR Image Reconstruction. - Jo Schlemper; Seyed Sadegh Mohseni Salehi; Prantik Kundu; Carole Lazarus; Hadrien Dyvorne; Daniel Rueckert; Michal Sofka (MICCAI (3), 2019)

Correcting the Side Effects of ADC Filtering in MR Image Reconstruction. - Carole Lazarus; Maximilian März; Pierre Weiss (J. Math. Imaging Vis., 2020)

Learning Representations for MR Image Retrieval: Contrastive Models Versus Other Supervision Strategies. - Thibault Sauron; Carole Lazarus; Camille Kurtz; Florence Cloppet (ISBI, 2023)

SEQ-ALIGN: Self-Supervised Image Representation Learning from Multi-Sequence MRI. - Thibault Sauron; Carole Lazarus; Laure Fournier; Camille Kurtz; Florence Cloppet (ISBI, 2024)

CT-AGRG: Automated Abnormality-Guided Report Generation from 3D Chest CT Volumes. - Théo Di Piazza; Carole Lazarus; Olivier Nempont; Loïc Boussel (ISBI, 2025)

Imitating Radiological Scrolling: A Global-Local Attention Model for 3D Chest CT Volumes Multi-Label Anomaly Classification. - Théo Di Piazza; Carole Lazarus; Olivier Nempont; Loïc Boussel (CoRR, 2025)

Structured Spectral Graph Learning for Anomaly Classification in 3D Chest CT Scans. - Théo Di Piazza; Carole Lazarus; Olivier Nempont; Loïc Boussel (CoRR, 2025)