Stanford University
Showing 111-120 of 670 Results
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Roxana Daneshjou, MD, PhD
Assistant Professor of Biomedical Data Science and of Dermatology and, by courtesy, of Radiology
BioDr. Daneshjou studied Bioengineering at Rice University before matriculating to Stanford School of Medicine where she completed her MD and a PhD in Genetics with Dr. Russ Altman as part of the medical scientist training program. She completed dermatology residency at Stanford as part of the research track and completed a postdoc in Biomedical Data Science with Dr. James Zou. She currently is the assistant director of the Center of Excellence for Precision Heath & Pharmacogenomics, director of informatics for the Stanford Skin Innovation and Interventional Research Group (SIIRG), a founding member of the Translational AI in Dermatology (TRAIND) group, and a faculty affiliate of Human-centered Artificial Intelligence (HAI) and the AI in Medicine and Imaging (AIMI) centers.
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Bruce Daniel
Professor of Radiology (Body Imaging) and, by courtesy, of Bioengineering
On Partial Leave from 2026-09-01 To 2026-09-30Current Research and Scholarly Interests1. MRI of Breast Cancer, particularly new techniques. Currently being explored are techniques including ultra high spatial resolution MRI and contrast-agent-free detection of breast tumors.
2. MRI-guided interventions, especially MRI-compatible remote manipulation and haptics
3. Medical Mixed Reality. Currently being explored are methods of fusing patients and their images to potentially improve breast conserving surgery, and other conditions. -
Guido A. Davidzon
Clinical Professor, Radiology - Rad/Nuclear Medicine
BioDr. Guido Alejandro Davidzon is a Clinical Professor of Radiology in Nuclear Medicine at the Stanford University School of Medicine. He currently serves as Director of Nuclear Cardiology at Stanford Health Care and is the Chair of the Radioactive Drug Research Committee.
Dr. Davidzon is a physician-scientist, educator, and leader whose work bridges clinical innovation, academic leadership, and translational research. His research focuses on the development and clinical translation of novel radiopharmaceuticals for use in oncology, neurodegeneration, cardiology, and pain imaging. He is also actively integrating AI-driven analytics and machine learning tools into molecular imaging to advance precision diagnostics and therapeutic decision-making.
His clinical and academic efforts include advancing theranostics, PET-based biomarker discovery, and the adoption of emerging imaging technologies in patient care. Dr. Davidzon is deeply committed to mentorship and the training of the next generation of imaging specialists and nuclear medicine professionals. -
Johannes Hugo Decker
Clinical Assistant Professor, Radiology
BioHugo Decker is part of the Diagnostic Radiology resident call of 2018-2022.
He received his BS in Biological Sciences at Stanford in 2008.
He completed his MSTP training at Weill Cornell Medical College in 2017.
He completed his Medical internship at Santa Clara Valley Medical Center in 2018. -
Seena Dehkharghani MD FAHA
Clinical Professor, Radiology
BioMy research spans human, animal, and phantom studies of cerebral perfusion and metabolism, emphasizing thermometry and
neuroenergetics. My investigations into ischemic thermometry were twice recognized with the Foundation of the ASNR Scholar Award in Neuroradiology Research and subsequently by a R01 awarded by the NIBIB. My group has developed novel computational models for cerebral hemodynamics (dynamic BOLD-CVR) and first-of-kind hyperportable microwave stroke detection tools using deep learning. I have obtained formal certification (Mathworks, Google) in machine learning and data analytics and remain engaged in self-learning in AI/ML methodologies. I have also been a post-graduate student through the Stanford University School of Engineering SCPD program in Computer Science, again with a focus in artificial intelligence through the Stanford University School of Engineering, with core competencies including machine learning, Bayesian Networks, Markov Decision Processes, and Deep Learning.
I formerly served as Director of Stroke and Cerebrovacular Imaging Programs at Emory University and New York University, leading basic, translational, and clinical cerebrovascular imaging programs in collaboration with academic and industry partners worldwide. I returned to Stanford in Feb 2025 as Professor and Associate Chair of Informatics, and as Affiliate Faculty of the Wu Tsai Neuroscience Institute, Stanford Artificial Intelligence in Medicine and Imaging (AIMI) Center, Center for Digital Health (CDH), and
Human-Centered AI (HAI) Institute.
Ongoing projects that I would like to highlight include:
1R01EB034820-01 (NIBIB).
Previously, I was funded in an application to the Google AI Social Impact Challenge for the development of portable ultra-wideband microwave imaging instrumentation (patents issued), work for which I was selected to the NIH-NIBIB c3i Concept to Clinic: Commercializing Innovation Program.
Presently, we have proposed to develop realistic computational models of ischemic stroke and bridge a heretofore unattempted multiscale and
multiphysics view of neuroenergetic disturbance in the ischemic brain. The merger of a state of the art in silico neurobiological canvas
with more than a decade of insights from rigorous experimental neuroscience and biophysical modeling points us to disturbed
thermoregulation/dysthermia at the critical intersection of cerebral perfusion, metabolism, viability, and hence neuroenergetic balance.
Cerebral dysthermia will be formalized in a radical departure from the historically perfusion-centered frame of reference in
cerebrovascular ischemia, the latter having shown unfit to capture fully the adaptive, dynamic metabolic changes that subserve the
ischemic brain. We leverage the pathoanatomic realism of our complete multiscale vascular, flow, and perfusion model tuned to direct
measures of cerebral perfusion, oximetry, and thermography across hemodynamics states in individuals subjected to hemodynamics
provocation, linking two procedures developed by my lab: time-resolved BOLD cerebrovascular reactivity with acetazolamide and the
brain thermal response (BTR). This work represents a new direction of cerebrovascular and
neurometabolic research enabled by traditionally unattainable biomarker ensembles based in non-invasive, spatiotemporally-resolved
brain thermography.
