T. Hans Newton Lecture - Dr. Yvonne Lui

Deep-Learning Based Accelerated MRI: an Update and A Look Ahead

Dr. Yvonne W. Lui is the Professor and Vice Chair of Research for the Department of Radiology at NYU Grossman School of Medicine and the Vilcek Institute of Graduate Biomedical Sciences. She previously served as the Chief of Neuroradiology in the department for 7 years and as the inaugural Associate Chair for Artificial Intelligence, building an innovative program to leverage technological advances in computer vision and machine learning for medical imaging. In this latter role, she worked on expanding novel research applications of machine learning in imaging as well as governance and deployment strategies of AI in the department. A native of
New York City, Dr. Lui is a graduate of Swarthmore College and Yale University where she studied Physics and Medicine. She completed her residency and fellowship at NYU. She now leads a world-renown radiology research program known for being a leader in imaging technology development, innovative translational research and novel applications of machine learning in medical imaging. The program ranks consistently in the top 10 in the nation for NIHfunding and there are over 35 faculty and 100 non-faculty personnel including postdoctoral fellows and research scientists. She serves as the collaboration lead on major research partnerships with both academia and industry including NYU Courant Institute and NYU Center for Data Science, Siemens Healthineers, and Facebook AI Research (now Meta AI). She facilitates open access scientific advances through initiatives such as MRI4ALL Hackathon and the fastMRI initiative which created a table-top, low-field 44 milliTesla MRI scanner in 1 week and established one of Amazon web services top-10 publicly available health sciences datasets, respectively. 

Dr. Lui herself is a NIH-funded researcher in translational neuroimaging to study traumatic brain injury since 2011. Her lab seeks to use MRI as an in vivo microscope to see into the brain and better understand neurological health and disease after injury and was the first to use machine learning to analyze complex MRI data in head injury patients. She serves on multiple NIH scientific review committees, is Past President of the New York Roentgen Society (NYRS), former oral board examiner for the American Board of Radiology (ABR) and a member of their Standard Setting Committee. She has previously served as Senior Editor for the American Journal of Neuroradiology (AJNR), is Immediate Past President of the American Society of Neuroradiology (ASNR) and a member of the ASNR board of directors, and a fellow of the American College of Radiology (ACR).