Stanford University
Showing 381-400 of 670 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.
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Robert Mindelzun
Professor of Radiology at the Stanford University Medical Center, Emeritus
Current Research and Scholarly InterestsAbdominal imaging,
Anatomy.
Mesenteries,
Peritoneum,
Omentum,
Pancreatic anatomy
Embryology.
Third World diseases.
Abdominal trauma. -
Gabriel Mistelbauer
Senior Research Engineer, Rad/Cardiovascular Imaging
BioGabriel Mistelbauer is a senior research engineer in the Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA, since 2022. Previously, he was a research associate at the Otto-von-Guericke University Magdeburg, Germany (2016-2022) and a postdoctoral researcher at TU Wien, Austria (2013-2016). He received a PhD in Computer Science, in the field of Medical Visualization, in 2013 at TU Wien, Austria, and the habilitation (venia legendi) in Computer Visualization (Computervisualistik) in 2024 at Otto-von-Guericke University Magdeburg, Germany. His research focuses on visual computing and image processing in medicine, in particular on the analysis of vascular structures.
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Mahati Mokkarala
Assistant Professor of Radiology (Body Imaging)
Current Research and Scholarly InterestsMy research focus as a new attending will be on evaluating and implementing new technology in the radiology workplace including how technology can benefit private practice and academic radiologists.
This research focus is based on my current and previous research projects and interests. As an abdominal imaging fellow at the University of Pennsylvania, I worked on projects understanding how to apply spectral CT data in a clinical and research setting. Current projects include determining if spectral CT data can quantify normal organ characteristics. Understanding the age-old question of ‘what is normal’ is essential for determining if spectral CT data can help radiologists identify and characterize pathology.
Other previous research projects with interventional and diagnostic radiology colleagues at MIR include improving and evaluating the efficacy of multiple embolization agents. Additional diagnostic radiology projects as a resident included optimizing artificial intelligence programs that streamline radiology critical action items and better characterize glioblastoma imaging patterns. All projects had a common theme, focusing on implementing technology that could benefit both clinical and radiology practice and making sure that these tools would be useful for radiologists and other specialists. Radiology is unique because of how essential imaging interpretation is for modern medicine. An academic radiologist should be the leader in both developing and successfully integrating technology in the clinical world.
