AI in MRI: A case for grassroots deep learning

Summary

This commentary introduces a special issue on machine learning in MRI, bringing together eighteen perspectives spanning image acquisition, processing, and modeling.

Study overview

Schilling and Landman discuss the growing role of data-driven methods in MRI while introducing eighteen contributions to a special issue. The commentary frames developments across acquisition, image processing, and modeling from the perspective of researchers applying machine learning to practical imaging problems.

Main findings

• The special issue spans machine learning approaches to MRI acquisition, processing, and modeling.