AI Research and Development
New fastMRI open source AI research tools from Facebook and NYU School of Medicine

New fastMRI open source AI research tools from Facebook and NYU School of Medicine

11/26/2018 · Larry Zitnick, Nafissa Yakubova, Jure Zbontar, Anuroop Sriram

What this post added

This post details the release of new open source AI research tools and data as part of the fastMRI project, a collaboration between Facebook AI Research (FAIR) and NYU School of Medicine. It introduces new AI models and baselines for accelerating MRI scans, along with the first large-scale MRI dataset of its kind. The contribution includes open source tools for single-coil and multi-coil reconstruction, baseline models based on U-nets, and a leaderboard for comparing research results. The goal is to spur development of AI systems to speed MRI scans by up to 10x and improve diagnostic imaging technology.

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