most citedGeneralizable synthetic MRI with physics-informed convolutional networks

14 citations · 14 across the 1 of their papers we have counts for

collaborators

1 paper

physics.med-ph2023★ 14 cited

Generalizable synthetic MRI with physics-informed convolutional networks

Luuk Jacobs, Stefano Mandija, Hongyan Liu +3

In this study, we develop a physics-informed deep learning-based method to synthesize multiple brain magnetic resonance imaging (MRI) contrasts from a single five-minute acquisitio…