Deep Learning

Presentation of Jean Zay @ Artificial Intelligence 2021

A presentation of my personal experience with the Jean Zay supercomputer.

XPDNet @ CWI-Inria International Lab Workshop 2021

A presentation of my network for MRI reconstruction: the XPDNet.

XPDNet @ Le Seminaire Palaisien

A presentation of my network for MRI reconstruction: the XPDNet.

Learnlets @ Eusipco 2020

A presentation of my work entitled "Wavelets in the deep learning era" in the Interpretable Machine Learning session.

XPDNet @ NeurIPS 2020 Medical Imaging Workshop

A presentation of my network for MRI reconstruction: the XPDNet.

Denoising Score Matching for Uncertainty Quantification @ Machine Learning Club

A presentation of my network for Uncertainty Quantification in Inverse Problems with Denoising Score Matching.

fastMRI 2020 Brain MRI reconstruction Challenge

A competition organized by Facebook and NYU to foster the best reconstruction algorithms.

tf-slice-assign

A utility for tensor slice assignment in TensorFlow.

Benchmarking Deep Nets MRI Reconstruction Models on the FastMRI Publicly Available Dataset

The MRI reconstruction field lacked a proper data set that allowed for reproducible results on real raw data (i.e. complex-valued), especially when it comes to deep learning (DL) methods as this kind of approaches require much more data than …

Benchmarking MRI reconstruction neural networks on large public datasets

Deep learning is starting to offer promising results for reconstruction in Magnetic Resonance Imaging (MRI). A lot of networks are being developed, but the comparisons remain hard because the frameworks used are not the same among studies, the …