Radiology
Showing 371-380 of 677 Results
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Tarik F. Massoud, MD, PhD
Professor of Radiology (Neuroimaging and Neurointervention)
Current Research and Scholarly InterestsMy current interests are in molecular and translational imaging of the brain especially in neuro-oncology and cerebrovascular diseases, experimental aspects of neuroimaging, clinical neuroradiology, neuroradiological anatomy, and research education and academic training of radiologists and scientists.
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Charles McGrath
Postdoctoral Scholar, Radiological Sciences Laboratory
BioCharles McGrath is a postdoctoral scholar at the Radiological Sciences Laboratory (RSL) at Stanford University, working with Dr. Daniel Ennis on cardiovascular magnetic resonance imaging. His research focuses on flow imaging, particularly 4D flow MRI and the quantification of complex hemodynamics and on building open, reproducible simulation tools that support methods development across the cardiovascular MR community.
He earned his Dr.Sc. in Biomedical Engineering from ETH Zurich in 2024, advised by Prof. Sebastian Kozerke, with a thesis on simulation and optimal sequence design for lower-field cardiovascular MRI. During his doctoral work, he developed referenceless 4D flow MRI techniques using radial balanced SSFP at lower field strengths and contributed to widely used open-source tools for cardiovascular MR simulation (CMRsim) and sequence design (CMRseq). He is an active advocate for open science in the MR community and continues to develop and maintain these tools as part of his research practice. He previously received an M.Sc. with distinction in Biomedical Engineering (Medical Physics) jointly from ETH Zurich, and a B.A.Sc. in Engineering Physics from the University of British Columbia. -
Jennifer A McNab
Associate Professor (Research) of Radiology (Radiological Sciences Laboratory)
Current Research and Scholarly InterestsMy research is focused on developing magnetic resonance imaging (MRI) methods that probe brain tissue microstructure. This requires new MRI contrast mechanisms, strategic encoding and reconstruction schemes, physiological monitoring, brain tissue modeling and validation. Applications of these methods include neuronavigation, neurosurgical planning and the development of improved biomarkers for brain development, degeneration, disease and injury.
