Microstructual Imaging and Rehabilative Plasticity Program
Dr. Liang is a MR physicist with PhD degree in Biomedical Engineering. He has been mainly working on developing neuroimaging techniques using magnetic resonance imaging. In particular, he has developed novel techniques in mapping human brain connectomes, including both functional and structural connectomes, as well as the development of approaches for graph theoretical analysis of complex networks. Meanwhile, he has expertise in machine learning and deep learning, which has been shown to offer new insights into defining neuroimaging biomarkers given the current trend of collecting large cohorts through international collaborations. Importantly, those developed techniques have been applied to patients with various brain disorders, such as stroke, epilepsy, Alzheimer’s disease and dementia, of which some have been translated into clinical practice. He has published over 30 peer-reviewed journal articles in high-impact journals, such as NeuroImage, Human Brain Mapping, Magnetic Resonance in Medicine, Brain Structure and Function, etc. Also, Dr. Liang has been actively involved in peer-review process, which he has reviewed more than 60 manuscripts for more than 10 top journals, such as NeuroImage, Neurology, Journal of Magnetic Resonance Imaging, IEEE Transactions on Biomedical Engineering, Physics in Medicine and Biology, Brain Topography, etc. He currently serves as an Associate Editor of Journal of Magnetic Resonance Imaging, one of the two official Journals of International Society of Magnetic Resonance in Medicine.