Publications

(2021). SHINE: SHaring the INverse Estimate from the forward pass for bi-level optimization and implicit models.

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(2021). XPDNet for MRI Reconstruction: an application to the 2020 fastMRI challenge. ISMRM.

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

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(2021). Results of the 2020 fastMRI Brain Reconstruction Challenge. ISMRM.

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(2021). NC-PDNet: a Density-Compensated Unrolled Network for 2D and 3D non-Cartesian MRI Reconstruction.

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(2021). Is good old GRAPPA dead?. ISMRM.

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(2021). Density Compensated Unrolled Networks for Non-Cartesian MRI Reconstruction. 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI).

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(2020). Wavelets in the deep learning era. European Signal Processing Conference.

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(2020). PySAP: Python Sparse Data Analysis Package for multidisciplinary image processing. Astronomy and Computing.

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(2020). Probabilistic Mapping of Dark Matter by Neural Score Matching. NeurIPS 2020 Machine Learning for Physical sciences workshop.

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(2020). Denoising Score-Matching for Uncertainty Quantification in Inverse Problems. NeurIPS 2020 Deep Learning and Inverse Problems workshop.

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(2020). Benchmarking MRI reconstruction neural networks on large public datasets. Applied Sciences (Switzerland).

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(2020). Benchmarking Deep Nets MRI Reconstruction Models on the FastMRI Publicly Available Dataset. ISBI 2020 - International Symposium on Biomedical Imaging.

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(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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