School of Medicine
Showing 101-120 of 687 Results
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Tyler Edward Cork
Postdoctoral Scholar, Radiological Sciences Laboratory
Current Research and Scholarly InterestsCurrently, I am involved in two main projects. The first is developing 3D printing techniques to improve the accuracy of ex vivo geometrical and microstructural cardiac modeling from in vivo cardiac MR acquisitions. The second is applying machine learning applications to MRI data as a way to improve overall image quality and reduce acquisition time.
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Jesse Courtier
Adjunct Clinical Professor, Radiology - Pediatric Radiology
BioPrior to joining Stanford and Lucille Packard Children's Hospital, Dr. Jesse Courtier was Professor and Chief of Pediatric Radiology at UCSF Benioff Children’s Hospital, San Francisco. He is the author of over 70 peer reviewed articles with more than 3000+ citations. Dr. Courtier is a multi-award-winning educator and innovator. He is also an entrepreneur, startup mentor, and healthcare investor.
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Meysam Dadgar
Postdoctoral Scholar, Molecular Imaging Program at Stanford
BioMeysam Dadgar is a Postdoctoral Research Fellow at the Molecular Imaging Program at Stanford University, School of Medicine. He obtained his Ph.D. in Biophysics from Jagiellonian University in Kraków, Poland, as part of the J-PET collaboration, and previously held a Postdoctoral Fellowship at Ghent University, Belgium.
Dr. Dadgar’s research focuses on the development and optimization of next-generation positron emission tomography (PET) systems for cancer detection and precision medicine. His expertise spans PET instrumentation, Monte Carlo and GATE simulations, advanced image reconstruction, and AI-based image enhancement. He has made significant contributions to the design and evaluation of novel PET geometries, including dual-panel and total-body PET, as well as positronium imaging approaches that extend beyond conventional PET capabilities.
In addition to his PET-focused research, Dr. Dadgar gained unique experience at CERN, where he worked on advanced detector development, including trigger electronics, PET coincidence measurements, and composite material production under controlled conditions. These experiences provided him with a strong foundation in detector design, fabrication, and calibration that complements his biomedical imaging research.
He has authored more than 20 peer-reviewed publications, including papers in Science Advances, Nature Communications, IEEE Transactions on Radiation and Plasma Medical Sciences, and EJNMMI Physics. He has been recognized with multiple international fellowships and awards, including IEEE NSS/MIC Trainee Grants and national research grants in Europe.
At Stanford, Dr. Dadgar’s work integrates state-of-the-art medical imaging technologies, particle physics methods, and AI-driven modeling to improve sensitivity, resolution, and diagnostic accuracy in PET, with the ultimate goal of advancing early cancer detection and patient care. -
Jeremy Dahl
Professor of Radiology (Pediatric Radiology)
Current Research and Scholarly InterestsMy current research encompasses ultrasonic beamforming and image reconstruction methods, with application areas in improving ultrasound image quality in difficult-to-image patients and ultrasound molecular imaging of cancer. My lab also employs beamforming concepts to enhance other areas of ultrasound research.
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Heike Daldrup-Link
Professor of Radiology (General Radiology) and, by courtesy, of Pediatrics (Hematology/Oncology)
Current Research and Scholarly InterestsAs a physician-scientist involved in the care of pediatric patients and developing novel pediatric molecular imaging technologies, my goal is to link the fields of nanotechnology and medical imaging towards more efficient diagnoses and image-guided therapies. Our research team develops novel imaging techniques for improved cancer diagnosis, for image-guided-drug delivery and for in vivo monitoring of cell therapies in children and young adults.
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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
Current 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. -
Braden Michael Dawson
Affiliate, Radiology
BioBraden Dawson is an undergraduate student at the University of Southern California studying Legal Studies and Natural Science on pre-medical and pre-law tracks. His work focuses on health policy, healthcare systems, and translational medicine, with interests in healthcare access, implementation, and regulatory design. At Stanford School of Medicine, he is a Canary CREST Research Intern, conducting translational cancer early-detection research under Parag Mallick, PhD.
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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.
