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ORCIDZaccharie Ramzi
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2020 – today
- 2023
[j4]Zaccharie Ramzi
, Kevin Michalewicz, Jean-Luc Starck, Thomas Moreau, Philippe Ciuciu:
Wavelets in the Deep Learning Era. J. Math. Imaging Vis. 65(1): 240-251 (2023)- [i8]Zaccharie Ramzi, Pierre Ablin, Gabriel Peyré, Thomas Moreau:
Test like you Train in Implicit Deep Learning. CoRR abs/2305.15042 (2023) - 2022
- [b1]Zaccharie Ramzi:
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). University of Paris-Saclay, France, 2022 - [j3]Zaccharie Ramzi, Chaithya G. R., Jean-Luc Starck, Philippe Ciuciu:
NC-PDNet: A Density-Compensated Unrolled Network for 2D and 3D Non-Cartesian MRI Reconstruction. IEEE Trans. Medical Imaging 41(7): 1625-1638 (2022) - [c8]Zaccharie Ramzi, Florian Mannel, Shaojie Bai, Jean-Luc Starck, Philippe Ciuciu, Thomas Moreau:
SHINE: SHaring the INverse Estimate from the forward pass for bi-level optimization and implicit models. ICLR 2022 - [c7]Kumari Pooja, Zaccharie Ramzi, Chaithya G. R., Philippe Ciuciu:
MC-PDNet: Deep Unrolled Neural Network For Multi-Contrast Mr Image Reconstruction From Undersampled K-Space Data. ISBI 2022: 1-5 - [c6]Chaithya G. R., Zaccharie Ramzi, Philippe Ciuciu:
Hybrid Learning of Non-Cartesian K-Space Trajectory and Mr Image Reconstruction Networks. ISBI 2022: 1-5 - [c5]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:
Benchopt: Reproducible, efficient and collaborative optimization benchmarks. NeurIPS 2022 - [i7]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:
Benchopt: Reproducible, efficient and collaborative optimization benchmarks. CoRR abs/2206.13424 (2022) - 2021
- [j2]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:
Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction. IEEE Trans. Medical Imaging 40(9): 2306-2317 (2021) - [c4]Chaithya G. R., Zaccharie Ramzi, Philippe Ciuciu:
Learning the sampling density in 2D SPARKLING MRI acquisition for optimized image reconstruction. EUSIPCO 2021: 960-964 - [c3]Zaccharie Ramzi, Jean-Luc Starck, Philippe Ciuciu:
Density Compensated Unrolled Networks For Non-Cartesian MRI Reconstruction. ISBI 2021: 1443-1447 - [i6]Zaccharie Ramzi, Philippe Ciuciu, Jean-Luc Starck:
Density Compensated Unrolled Networks for Non-Cartesian MRI Reconstruction. CoRR abs/2101.01570 (2021) - [i5]Zaccharie Ramzi, Florian Mannel, Shaojie Bai, Jean-Luc Starck, Philippe Ciuciu, Thomas Moreau:
SHINE: SHaring the INverse Estimate from the forward pass for bi-level optimization and implicit models. CoRR abs/2106.00553 (2021) - [i4]Zaccharie Ramzi, Alexandre Vignaud, Jean-Luc Starck, Philippe Ciuciu:
Is good old GRAPPA dead? CoRR abs/2106.00753 (2021) - 2020
- [j1]Samuel Farrens, Antoine Grigis, Loubna El Gueddari, Zaccharie Ramzi, Chaithya G. R., Sophie Starck, Benoît Sarthou, Hamza Cherkaoui, Philippe Ciuciu, Jean-Luc Starck:
PySAP: Python Sparse Data Analysis Package for multidisciplinary image processing. Astron. Comput. 32: 100402 (2020) - [c2]Zaccharie Ramzi, Jean-Luc Starck, Thomas Moreau, Philippe Ciuciu:
Wavelets in the Deep Learning Era. EUSIPCO 2020: 1417-1421 - [c1]Zaccharie Ramzi, Philippe Ciuciu, Jean-Luc Starck:
Benchmarking Deep Nets MRI Reconstruction Models on the Fastmri Publicly Available Dataset. ISBI 2020: 1441-1445 - [i3]Zaccharie Ramzi, Philippe Ciuciu, Jean-Luc Starck:
XPDNet for MRI Reconstruction: an Application to the fastMRI 2020 Brain Challenge. CoRR abs/2010.07290 (2020) - [i2]Zaccharie Ramzi, Benjamin Remy, François Lanusse, Jean-Luc Starck, Philippe Ciuciu:
Denoising Score-Matching for Uncertainty Quantification in Inverse Problems. CoRR abs/2011.08698 (2020) - [i1]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:
State-of-the-Art Machine Learning MRI Reconstruction in 2020: Results of the Second fastMRI Challenge. CoRR abs/2012.06318 (2020)
Coauthor Index
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