Zaccharie Ramzi
Zaccharie Ramzi
Research Scientist
Verified email at - Homepage
Cited by
Cited by
Results of the 2020 fastMRI challenge for machine learning MR image reconstruction
MJ Muckley, B Riemenschneider, A Radmanesh, S Kim, G Jeong, J Ko, ...
IEEE transactions on medical imaging 40 (9), 2306-2317, 2021
Benchmarking MRI reconstruction neural networks on large public datasets
Z Ramzi, P Ciuciu, JL Starck
Applied Sciences 10 (5), 1816, 2020
NC-PDNet: A density-compensated unrolled network for 2D and 3D non-Cartesian MRI reconstruction
Z Ramzi, GR Chaithya, JL Starck, P Ciuciu
IEEE Transactions on Medical Imaging 41 (7), 1625-1638, 2022
XPDNet for MRI reconstruction: an application to the fastMRI 2020 brain challenge
Z Ramzi, P Ciuciu, JL Starck
PySAP: python sparse data analysis package for multidisciplinary image processing
S Farrens, A Grigis, L El Gueddari, Z Ramzi, GR Chaithya, S Starck, ...
Astronomy and Computing 32, 100402, 2020
Benchopt: Reproducible, efficient and collaborative optimization benchmarks
T Moreau, M Massias, A Gramfort, P Ablin, PA Bannier, B Charlier, ...
Advances in Neural Information Processing Systems 35, 25404-25421, 2022
SHINE: SHaring the INverse Estimate from the forward pass for bi-level optimization and implicit models
Z Ramzi, F Mannel, S Bai, JL Starck, P Ciuciu, T Moreau
International Conference on Learning Representations (ICLR), 2022
Benchmarking deep nets MRI reconstruction models on the fastmri publicly available dataset
Z Ramzi, P Ciuciu, JL Starck
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1441-1445, 2020
Learning the sampling density in 2D SPARKLING MRI acquisition for optimized image reconstruction
GR Chaithya, Z Ramzi, P Ciuciu
2021 29th European Signal Processing Conference (EUSIPCO), 960-964, 2021
Density compensated unrolled networks for non-cartesian MRI reconstruction
Z Ramzi, JL Starck, P Ciuciu
2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 1443-1447, 2021
Denoising score-matching for uncertainty quantification in inverse problems
Z Ramzi, B Remy, F Lanusse, JL Starck, P Ciuciu
arXiv preprint arXiv:2011.08698, 2020
Wavelets in the Deep Learning ERA
Z Ramzi, K Michalewicz, JL Starck, T Moreau, P Ciuciu
Journal of Mathematical Imaging and Vision, 2022
PySAP-MRI: A Python package for MR image reconstruction
L El Gueddari, CG Radhakrishna, Z Ramzi, S Farrens, S Starck, A Grigis, ...
ISMRM workshop on Data Sampling and Image Reconstruction, 2020
Benchmarking proximal methods acceleration enhancements for CS-acquired MR image analysis reconstruction
Z Ramzi, P Ciuciu, JL Starck
SPARS 2019-Signal Processing with Adaptive Sparse Structured Representations …, 2019
Probabilistic mapping of dark matter by neural score matching
B Remy, F Lanusse, Z Ramzi, J Liu, N Jeffrey, JL Starck
arXiv preprint arXiv:2011.08271, 2020
Hybrid learning of non-Cartesian k-space trajectory and MR image reconstruction networks
GR Chaithya, Z Ramzi, P Ciuciu
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 1-5, 2022
MC-PDNET: Deep unrolled neural network for multi-contrast mr image reconstruction from undersampled k-space data
K Pooja, Z Ramzi, GR Chaithya, P Ciuciu
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 1-5, 2022
Is good old GRAPPA dead?
Z Ramzi, A Vignaud, JL Starck, P Ciuciu
arXiv preprint arXiv:2106.00753, 2021
Advanced deep neural networks for MRI image reconstruction from highly undersampled data in challenging acquisition settings
Z Ramzi
Université Paris-Saclay, 2022
Test like you Train in Implicit Deep Learning
Z Ramzi, P Ablin, G Peyré, T Moreau
arXiv preprint arXiv:2305.15042, 2023
The system can't perform the operation now. Try again later.
Articles 1–20