fastMRI is a collaborative research project from Facebook AI Research (FAIR) and NYU Langone Health to investigate the use of AI to make MRI scans faster. NYU ... fastMRI_tutorial.ipynb · Issues 16 · Pull requests 2 · Discussions

This notebook shows how to read the fastMRI dataset and apply some simple transformations to the data.

The fastMRI dataset is a publicly available MRI raw (k-space) dataset. It has been used widely to train machine learning models for image reconstruction and ...

We introduce the fastMRI dataset, a large-scale collection of both raw MR measurements and clinical MR images, that can be used for training and evaluation of ...

2021 SNU FastMRI challenge. Contribute to LISTatSNU/FastMRI_challenge development by creating an account on GitHub.

A large-scale dataset of both raw MRI measurements and clinical MRI images. - fastMRI/fastmri/data/mri_data.py at main · facebookresearch/fastMRI.

This directory provides a reference data loader to read the fastMRI data one slice at a time and some useful data transforms to work with the data in ...

The idea of this repository is to have a way to rapidly benchmark new solutions against existing reconstruction algorithms on the fastMRI dataset ...

This repository contains code to facilitate the reconstruction of prostate T2 and DWI (Diffusion-Weighted Imaging) images from raw (k-space) data from the ...

A more sustainable approach for training MRI models would be to use self-supervision on already-subsampled data.