Zaccharie Ramzi

According to our database, Zaccharie Ramzi authored at least 18 papers between 2020 and 2023.

Collaborative distances:

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

2023

Wavelets in the Deep Learning Era.

Zaccharie Ramzi, Kevin Michalewicz, Jean-Luc Starck, Thomas Moreau, Philippe Ciuciu

J. Math. Imaging Vis., January, 2023

Test like you Train in Implicit Deep Learning.

Zaccharie Ramzi, Pierre Ablin, Gabriel Peyré, Thomas Moreau

CoRR, 2023

2022

Advanced deep neural networks for MRI image reconstruction from highly undersampled data in challenging acquisition settings. (Réseaux de neurones profonds avancés pour la reconstruction d'images IRM à partir de données fortement sous-échantillonnées dans des contextes d'acquisition complexes).

Zaccharie Ramzi

PhD thesis, 2022

NC-PDNet: A Density-Compensated Unrolled Network for 2D and 3D Non-Cartesian MRI Reconstruction.

Zaccharie Ramzi, Chaithya G. R., Jean-Luc Starck, Philippe Ciuciu

IEEE Trans. Medical Imaging, 2022

Benchopt: Reproducible, efficient and collaborative optimization benchmarks.

Thomas Moreau, Mathurin Massias, Alexandre Gramfort, Pierre Ablin, Pierre-Antoine Bannier, Benjamin Charlier, Mathieu Dagréou, Tom Dupré la Tour, Ghislain Durif, Cássio F. Dantas, Quentin Klopfenstein, Johan Larsson, En Lai, Tanguy Lefort, Benoît Malézieux, Badr Moufad, Binh T. Nguyen, Alain Rakotomamonjy, Zaccharie Ramzi, Joseph Salmon, Samuel Vaiter

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Hybrid Learning of Non-Cartesian K-Space Trajectory and Mr Image Reconstruction Networks.

Chaithya G. R., Zaccharie Ramzi, Philippe Ciuciu

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

MC-PDNet: Deep Unrolled Neural Network For Multi-Contrast Mr Image Reconstruction From Undersampled K-Space Data.

Kumari Pooja, Zaccharie Ramzi, Chaithya G. R., Philippe Ciuciu

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

SHINE: SHaring the INverse Estimate from the forward pass for bi-level optimization and implicit models.

Zaccharie Ramzi, Florian Mannel, Shaojie Bai, Jean-Luc Starck, Philippe Ciuciu, Thomas Moreau

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction.

Matthew J. Muckley, Bruno Riemenschneider, Alireza Radmanesh, Sunwoo Kim, Geunu Jeong, Jingyu Ko, Yohan Jun, Hyungseob Shin, Dosik Hwang, Mahmoud Mostapha, Simon Arberet, Dominik Nickel, Zaccharie Ramzi, Philippe Ciuciu, Jean-Luc Starck, Jonas Teuwen, Dimitrios Karkalousos, Chaoping Zhang, Anuroop Sriram, Zhengnan Huang, Nafissa Yakubova, Yvonne W. Lui, Florian Knoll

IEEE Trans. Medical Imaging, 2021

Is good old GRAPPA dead?

Zaccharie Ramzi, Alexandre Vignaud, Jean-Luc Starck, Philippe Ciuciu

CoRR, 2021

Density Compensated Unrolled Networks For Non-Cartesian MRI Reconstruction.

Zaccharie Ramzi, Jean-Luc Starck, Philippe Ciuciu

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Learning the sampling density in 2D SPARKLING MRI acquisition for optimized image reconstruction.

Chaithya G. R., Zaccharie Ramzi, Philippe Ciuciu

Proceedings of the 29th European Signal Processing Conference, 2021

2020

State-of-the-Art Machine Learning MRI Reconstruction in 2020: Results of the Second fastMRI Challenge.

Matthew J. Muckley, Bruno Riemenschneider, Alireza Radmanesh, Sunwoo Kim, Geunu Jeong, Jingyu Ko, Yohan Jun, Hyungseob Shin, Dosik Hwang, Mahmoud Mostapha, Simon Arberet, Dominik Nickel, Zaccharie Ramzi, Philippe Ciuciu, Jean-Luc Starck, Jonas Teuwen, Dimitrios Karkalousos, Chaoping Zhang, Anuroop Sriram, Zhengnan Huang, Nafissa Yakubova, Yvonne W. Lui, Florian Knoll

CoRR, 2020

Denoising Score-Matching for Uncertainty Quantification in Inverse Problems.

Zaccharie Ramzi, Benjamin Remy, François Lanusse, Jean-Luc Starck, Philippe Ciuciu

CoRR, 2020

XPDNet for MRI Reconstruction: an Application to the fastMRI 2020 Brain Challenge.

Zaccharie Ramzi, Philippe Ciuciu, Jean-Luc Starck

CoRR, 2020

PySAP: Python Sparse Data Analysis Package for multidisciplinary image processing.

Samuel Farrens, Antoine Grigis, Loubna El Gueddari, Zaccharie Ramzi, Chaithya G. R., Sophie Starck, Benoît Sarthou, Hamza Cherkaoui, Philippe Ciuciu, Jean-Luc Starck

Astron. Comput., 2020

Benchmarking Deep Nets MRI Reconstruction Models on the Fastmri Publicly Available Dataset.

Zaccharie Ramzi, Philippe Ciuciu, Jean-Luc Starck

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Wavelets in the Deep Learning Era.

Zaccharie Ramzi, Jean-Luc Starck, Thomas Moreau, Philippe Ciuciu

Proceedings of the 28th European Signal Processing Conference, 2020