School of Medicine
Showing 201-220 of 680 Results
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Frezghi Habte
Director, Stanford Center for Innovations in In vivo Imaging (SCi3), Stanford Center for Innovation and In Vivo Imaging
Current Role at StanfordDirector, Stanford Center for Innovation, in In vivo Imaging
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Mark Halverson
Clinical Associate Professor, Radiology - Pediatric Radiology
BioPediatric Neuroradiologist
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Brian A. Hargreaves
Professor of Radiology (Radiological Sciences Laboratory) and, by courtesy, of Electrical Engineering and of Bioengineering
Current Research and Scholarly InterestsI am interested in magnetic resonance imaging (MRI) applications and augmented reality applications in medicine. These include abdominal, breast and musculoskeletal imaging, which require development of faster, quantitative, and more efficient MRI methods that provide improved diagnostic contrast compared with current methods. My work includes novel excitation schemes, efficient imaging methods and reconstruction tools and augmented reality in medicine.
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George Harpur
Graduate, Medicine, Radiology
BioGeorge Harpur is a Ph.D. student, joining Prof Daniel Ennis’ lab as a visiting graduate researcher in July 2026. His work focuses on developing methods for measuring cardiac strains from advanced magnetic resonance imaging (MRI), namely DENSE, and assessing their use in the diagnosis and prognosis of subclinical heart disease. This involves incorporating finite element and machine learning/deep learning methods, increasing the potential of advanced MRI techniques in clinical protocols.
George Harpur is a member of the Heart Mechanics Research Group at the Auckland Bioengineering Institute, University of Auckland, New Zealand. -
Grant Hartung
Affiliate, Rad/Radiological Sciences Laboratory
BioMy research includes developing custom mathematical models and algorithms to comprehensively simulate the biophysics underlying brain dynamics. These models are then used to simulate the detailed blood flow, volume, and oxygenation changes that accompany neural activity with a focus on detailed, realistic microvascular geometry to predict the impact of hemodynamic states and vascular structure on fMRI signals (for BOLD and non-BOLD sequences). This interdisciplinary work includes advances in mathematics, biophysics, neuroscience, and computer science to enable simulations of vascular structures orders of magnitude larger than previously possible in only a few hours.
These advancements have led to the quantification of many fMRI biases previously overlooked or undervalued. This includes the geometric blurring by the capillary bed between the site of neurovascular coupling and the venous response, ultimately measured by BOLD. Moreover, the microvascular blood volume at resting-state gave a non-neuronal explanation for the mid-cortex “bump” observed in layer-fMRI BOLD signals. This tool also proposed mechanistic explanations underlying the BOLD frequency nonlinearity observed during oscillatory stimulus. In non-BOLD acquisitions, these tools discovered artifacts in IntraVoxel Incoherent Motion (IVIM) and VAscular Space Occupancy (VASO) signals caused by vascular structural and flow asymmetries and velocity heterogeneity which help explain discrepancies in experimental findings with these methods.
Google Scholar: https://scholar.google.com/citations?user=ihwU5t8AAAAJ&hl=en
Email: grant.hartung@tu-darmstadt.de -
Hoda Hashemi
Postdoctoral Scholar, Radiological Sciences Laboratory
BioHoda S. Hashemi is a postdoctoral scholar at the Ultrasound Imaging & Instrumentation Lab at Stanford University. She received her PhD in Electrical and Computer Engineering from the University of British Columbia (UBC) in 2023. She was also an ultrasound research intern in research and innovation team at DarkVision Technologies Inc. from 2021 to 2023. She holds a M.A.Sc. from Concordia University and a B.Sc. from Sharif University of Technology. Her research interests are ultrasound molecular imaging, elastography and AI in medical image processing. Her research has been funded by the NIH T32 Fellowship at Stanford, the Canadian NSERC Postdoctoral Fellowship, and the Ultrasound Imaging & Instrumentation Lab at Stanford University.
