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PySAP-MRI: a Python Package for MR Image Reconstruction

Loubna El Gueddari , Chaithya Giliyar Radhakrishna , Zaccharie Ramzi , Samuel Farrens , Sophie Starck , et al.
ISMRM workshop on Data Sampling and Image Reconstruction, Jan 2020, Sedona, AZ, United States
Communication dans un congrès hal-02399267v1
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Wavelets in the deep learning era

Zaccharie Ramzi , Kevin Michalewicz , Jean-Luc Starck , Thomas Moreau , Philippe Ciuciu
Journal of Mathematical Imaging and Vision, 2022, 65, ⟨10.1007/s10851-022-01123-w⟩
Article dans une revue hal-03346892v1
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Benchmarking Deep Nets MRI Reconstruction Models on the FastMRI Publicly Available Dataset

Zaccharie Ramzi , Philippe Ciuciu , Jean-Luc Starck
ISBI 2020 - International Symposium on Biomedical Imaging, Apr 2020, Iowa City, United States
Communication dans un congrès hal-02436223v1
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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 , et al.
ICLR 2022 - International Conference on Learning Representations, Apr 2022, Virtual, United States
Communication dans un congrès hal-03246167v3
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Benchmarking MRI Reconstruction Neural Networks on Large Public Datasets

Zaccharie Ramzi , Philippe Ciuciu , Jean-Luc Starck
Applied Sciences, 2020
Article dans une revue hal-03028066v1
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NC-PDNet: a Density-Compensated Unrolled Network for 2D and 3D non-Cartesian MRI Reconstruction

Zaccharie Ramzi , Chaithya Giliyar Radhakrishna , Jean-Luc Starck , Philippe Ciuciu
IEEE Transactions on Medical Imaging, 2022, ⟨10.1109/TMI.2022.3144619⟩
Article dans une revue hal-03188997v3
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Learning the sampling density in 2D SPARKLING MRI acquisition for optimized image reconstruction

Chaithya Giliyar Radhakrishna , Zaccharie Ramzi , Philippe Ciuciu
2021 29th European Signal Processing Conference (EUSIPCO), IEEE, Aug 2021, Dublin, Ireland
Communication dans un congrès hal-03158831v2
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Probabilistic Mapping of Dark Matter by Neural Score Matching

Benjamin Rémy , Francois Lanusse , Zaccharie Ramzi , Jia Liu , Niall Jeffrey , et al.
NeurIPS 2020 - 3rd Workshop on Machine Learning and the Physical Sciences, Dec 2020, Vancouver / Virtuel, Canada
Communication dans un congrès hal-03020188v1
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XPDNet for MRI Reconstruction: an Application to the fastMRI 2020 Brain Challenge

Zaccharie Ramzi , Philippe Ciuciu , Jean-Luc Starck
2020
Pré-publication, Document de travail hal-03020202v1
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MC-PDNET: Deep unrolled neural network for multi-contrast mr image reconstruction from undersampled k-space data

Kumari Pooja , Zaccharie Ramzi , Chaithya Giliyar Radhakrishna , Philippe Ciuciu
ISBI 2022 - IEEE International Symposium on Biomedical Imaging 2022, IEEE, Mar 2022, Kolkata, India
Communication dans un congrès hal-03389390v1
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Wavelets in the Deep Learning ERA

Zaccharie Ramzi , Jean-Luc Starck , Thomas Moreau , Philippe Ciuciu
EUSIPCO 2020 - 28th European Signal Processing Conference, Jan 2021, Amsterdam, Netherlands
Communication dans un congrès hal-03020214v1
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Benchmarking proximal methods acceleration enhancements for CS-acquired MR image analysis reconstruction

Zaccharie Ramzi , Philippe Ciuciu , Jean-Luc Starck
SPARS 2019 - Signal Processing with Adaptive Sparse Structured Representations Workshop, Jul 2019, Toulouse, France
Communication dans un congrès hal-02298569v1
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Hybrid learning of Non-Cartesian k-space trajectory and MR image reconstruction networks

Chaithya Giliyar Radhakrishna , Zaccharie Ramzi , Philippe Ciuciu
ISBI 2022 - IEEE 19th International Symposium on Biomedical Imaging, IEEE, Mar 2022, Kolkata, India
Communication dans un congrès hal-03394881v1
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Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction

Matthew J. Muckley , Bruno Riemenschneider , Alireza Radmanesh , Sunwoo Kim , Geunu Jeong , et al.
IEEE Transactions on Medical Imaging, In press, ⟨10.1109/TMI.2021.3075856⟩
Article dans une revue hal-03066150v2
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Advanced deep neural networks for MRI image reconstruction from highly undersampled data in challenging acquisition settings

Zaccharie Ramzi
Medical Imaging. Université Paris-Saclay, 2022. English. ⟨NNT : 2022UPAST025⟩
Thèse tel-03623570v1
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Denoising Score-Matching for Uncertainty Quantification in Inverse Problems

Zaccharie Ramzi , Benjamin Rémy , Francois Lanusse , Jean-Luc Starck , Philippe Ciuciu
NeurIPS 2020 - 34th Conference on Neural Information Processing Systems / Workshop on Deep Learning and Inverse Problems, Dec 2020, Vancouver / Virtuel, Canada
Communication dans un congrès hal-03020167v1