The raw dataset includes coronal proton density-weighted images with and without fat suppression. The DICOM dataset contains coronal proton density-weighted ...

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

With fastMRI, artificial intelligence can generate accurate and detailed MRIs using only a quarter of the raw data that's traditionally required for a full MRI.

The fastMRI dataset includes two types of MRI scans: knee MRIs and the brain (neuro) MRIs, and containing training, validation, and masked test sets.

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

21 нояб. 2018 г. · 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 ...

Raw k-space data and DICOM images from thousands of MRI scans of the knee, brain, and prostate, curated for machine learning research on image reconstruction.

The goal of the project is to develop new artificial intelligence (AI) techniques that will make MRI for the diagnosis and interventions in prostate cancer ...

The 2020 fastMRI reconstruction challenge featured two core modifications from its 2019 predecessor: 1) a new competition Transfer track to evaluate model ...

5 сент. 2019 г. · FastMRI - это совместный исследовательский проект FAIR и NYU School of Medicine. Цель проекта - ускорить проведение томографии в 10 раз.