New paper published in Radiology Artificial Intelligence
Our new paper, “Exploring the Acceleration Limits of Deep Learning Variational Network–based Two-dimensional Brain MRI,” was just published in the journal Radiology: Artificial Intelligence. The paper explores the performance of machine learning reconstruction models for 2D images at accelerations at up to 100. Our goal was to characterize what was happening to the images from the viewpoint of radiologists identifying pathology. This was a collaborative effort with NYU and Meta AI.