MONTREAL - While most of the focus on machine learning in radiology has been image interpretation, Jong Chul Ye, PhD, of the Korea Advanced Institute of Science and Technology (KAIST) in South Korea believes that data reconstruction is also a fertile area for deep learning. He explains in this video from the International Society for Magnetic Resonance in Medicine (ISMRM) conference.
