Carole Lazarus

According to our database, Carole Lazarus authored at least 10 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Structured Spectral Graph Learning for Anomaly Classification in 3D Chest CT Scans.

Théo Di Piazza, Carole Lazarus, Olivier Nempont, Loïc Boussel

CoRR, August, 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, March, 2025

CT-AGRG: Automated Abnormality-Guided Report Generation from 3D Chest CT Volumes.

Théo Di Piazza, Carole Lazarus, Olivier Nempont, Loïc Boussel

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

2024

SEQ-ALIGN: Self-Supervised Image Representation Learning from Multi-Sequence MRI.

Thibault Sauron, Carole Lazarus, Laure Fournier, Camille Kurtz, Florence Cloppet

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Learning Representations for MR Image Retrieval: Contrastive Models Versus Other Supervision Strategies.

Thibault Sauron, Carole Lazarus, Camille Kurtz, Florence Cloppet

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2020

Correcting the Side Effects of ADC Filtering in MR Image Reconstruction.

Carole Lazarus, Maximilian März, Pierre Weiss

J. Math. Imaging Vis., 2020

2019

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

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

PhD thesis, 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

Proceedings of the 10th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2018

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

Proceedings of the 26th European Signal Processing Conference, 2018