Publications

Zaccharie Ramzi, Pierre Ablin, Gabriel Peyré, Thomas Moreau (2023). Test like you Train in Implicit Deep Learning. submitted.

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Thomas Moreau, Mathurin Massias, Alexandre Gramfort, Pierre Ablin, Pierre-Antoine Bannier, Benjamin Charlier, Mathieu Dagréou, Tom Dupré La Tour, Ghislain Durif, Cassio F Dantas, Quentin Klopfenstein, Johan Larsson, En Lai, Tanguy Lefort, Benoit Malézieux, Badr Moufad, Binh T Nguyen, Alain Rakotomamonjy, Zaccharie Ramzi, Joseph Salmon, Samuel Vaiter (2022). Benchopt: Reproducible, efficient and collaborative optimization benchmarks. NeurIPS.

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Zaccharie Ramzi, Florian Mannel, Shaojie Bai, Jean Luc Starck, Philippe Ciuciu, Thomas Moreau (2022). SHINE: SHaring the INverse Estimate from the forward pass for bi-level optimization and implicit models. ICLR (Spotlight).

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Chaithya G R, Zaccharie Ramzi, Philippe Ciuciu (2022). Hybrid learning of Non-Cartesian k-space trajectory and MR image reconstruction networks.

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Zaccharie Ramzi, Philippe Ciuciu, Jean Luc Starck (2021). XPDNet for MRI Reconstruction: an application to the 2020 fastMRI challenge. ISMRM (Oral).

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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 (2021). Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction. IEEE Transactions on Medical Imaging.

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Bruno Riemenschneider, Matthew Muckley, 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 (2021). Results of the 2020 fastMRI Brain Reconstruction Challenge. ISMRM.

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Zaccharie Ramzi, Jean Luc Starck, Chaithya G R, Philippe Ciuciu (2021). NC-PDNet: a Density-Compensated Unrolled Network for 2D and 3D non-Cartesian MRI Reconstruction.

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Chaithya G R, Zaccharie Ramzi, Philippe Ciuciu (2021). Learning the sampling density in 2D SPARKLING MRI acquisition for optimized image reconstruction.

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Zaccharie Ramzi, Alexandre Vignaud, Jean Luc Starck, Philippe Ciuciu (2021). Is good old GRAPPA dead?. ISMRM.

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Zaccharie Ramzi, Philippe Ciuciu, Jean Luc Starck (2021). Density Compensated Unrolled Networks for Non-Cartesian MRI Reconstruction. 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI).

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Zaccharie Ramzi, Jean Luc Starck, Thomas Moreau, Philippe Ciuciu (2020). Wavelets in the deep learning era. European Signal Processing Conference (Oral).

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S. Farrens, A. Grigis, L. El Gueddari, Z. Ramzi, Chaithya G R, S. Starck, B. Sarthou, H. Cherkaoui, P. Ciuciu, J.-L. Starck (2020). PySAP: Python Sparse Data Analysis Package for multidisciplinary image processing. Astronomy and Computing.

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Benjamin Remy, Francois Lanusse, Zaccharie Ramzi, Jia Liu, Niall Jeffrey, Jean Luc Starck (2020). Probabilistic Mapping of Dark Matter by Neural Score Matching. NeurIPS 2020 Machine Learning for Physical sciences workshop.

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Zaccharie Ramzi, Benjamin Remy, Francois Lanusse, Jean Luc Starck, Philippe Ciuciu (2020). Denoising Score-Matching for Uncertainty Quantification in Inverse Problems. NeurIPS 2020 Deep Learning and Inverse Problems workshop.

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Zaccharie Ramzi, Philippe Ciuciu, Jean Luc Starck (2020). Benchmarking MRI reconstruction neural networks on large public datasets. Applied Sciences (Switzerland).

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Zaccharie Ramzi, Philippe Ciuciu, Jean Luc Starck (2020). Benchmarking Deep Nets MRI Reconstruction Models on the FastMRI Publicly Available Dataset. ISBI 2020 - International Symposium on Biomedical Imaging.

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Zaccharie Ramzi, Philippe Ciuciu, Jean Luc Starck (2019). Benchmarking proximal methods acceleration enhancements for CS-acquired MR image analysis reconstruction. SPARS 2019 - Signal Processing with Adaptive Sparse Structured Representations Workshop.

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