Congratulations to the 2023 Outstanding Contributions in Research Award Recipient

The ASNR awards Gregory G. Zaharchuk, MD, PhD, with the 2023 Outstanding Contributions in Research Award.
Dr. Zaharchuk is Professor with Tenure of Radiology at Stanford University and the Stanford School of Medicine.  He serves as Director of the Center for Advanced Functional Neuroimaging (CAFN) at Stanford, where he oversees high school students, undergraduates, graduate students, residents, fellows, and post-doctoral students whose research focuses on advanced medical imaging techniques and algorithms (including AI) with the goal of alleviating the burden of neurological disease, particularly for stroke and dementia.
He attended Stanford University for his undergraduate education, where he completed a BS in Materials Science and Engineering and a BA in German Studies.  He received an MD from Harvard Medical School and a PhD in Applied Physics from the Harvard-MIT Health Sciences and Technology (HST) program.  He then did his radiology residency and neuroradiology fellowship training at UCSF.
Dr. Zaharchuk is an internationally recognized expert in functional MR imaging of the brain, focusing on the ability to sensitize MRI to many different physiological parameters, including cerebral blood flow and oxygenation.  He was the senior author on the 2015 Arterial Spin Labeling White Paper consensus statement which has served to harmonize ASL protocols for clinical use worldwide. He has also published seminal work in AJNR in 2012 demonstrating the added value of ASL for identifying arteriovenous shunt lesions in brain.
He has also been instrumental in the development of simultaneous PET/MRI, providing supporting data for the approval of one of the first clinical whole-body PET/MRI scanners as well as demonstrating the value of the method for neurological imaging in the setting of chronic ischemia, dementia, and brain tumors.  He has been a Principal Investigator on multiple industry and NIH grants, including quantifying collateral blood flow in stroke, deep learning for image synthesis of gold standard PET CBF and cerebrovascular reactivity from MRI, low-dose PET imaging of dementia, and predicting outcomes in acute stroke.
Since learning about AI during sabbatical in 2015, he has shifted much of the focus of his laboratory and research to this emerging area, which he believes will fundamentally transform our field.  He has developed and co-led the ASFNR-ASNR AI Workshop, which is in its 5th year, having provided over 80 clinicians and scientists with a hands-on practical approach to getting started on neuroradiology AI projects.  In 2018, he co-founded Subtle Medical, a company devoted to using deep learning and other AI methods to improve radiological image quality, safety, and sustainability.
He is a member of the editorial board of Radiology, Journal of Magnetic Resonance Imaging, and the American Journal of Neuroradiology. He is the immediate past-president of the American Society of Functional Neuroradiology (ASFNR) and chaired both 2018 Machine Learning workshops sponsored by the International Society of Magnetic Resonance in Medicine (ISMRM), where he serves on the Board of Directors.  He was recently elected as a Fellow of the American Institute for Medical and Biological Engineering (AIMBE).