Quantitative susceptibility mapping using deep neural network: QSMnet
Jaeyeon Yoon, Eung Yeop Kim(Yonsei University), John M. Pauly(Stanford University), Jin‐Gu Lee(University of Maryland, Baltimore), Enhao Gong(Stanford University), Woojin Jung, Hosan Jung(Harvard University), Greg Zaharchuk(Stanford University), Berkin Bilgiç(Harvard University), Jingyu Ko, Kawin Setsompop(Harvard University), Itthi Chatnuntawech(National Science and Technology Development Agency), Jongho Lee(Seoul National University)
Cited by 200
Related Papers
Recommended implementation of arterial spin‐labeled perfusion MRI for clinical applications: A consensus of the ISMRM perfusion study group and the European consortium for ASL in dementia
|Magnetic Resonance in Medicine|2014|2.2k
MRI profile and response to endovascular reperfusion after stroke (DEFUSE 2): a prospective cohort study
|The Lancet Neurology|2012|775
Comparative Overview of Brain Perfusion Imaging Techniques
|Stroke|2005|586
Resting-State Functional MRI: Everything That Nonexperts Have Always Wanted to Know
|American Journal of Neuroradiology|2018|574