School of Medicine
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Associate Professor of Radiology (Pediatric Radiology)
Current Research and Scholarly Interests Ultrasonic beamforming, imaging methods, systems, and devices.
Postdoctoral Research Fellow, Radiological Sciences Laboratory
Bio Dr. Erpeng Dai mainly focuses on technique development for high-resolution and high-efficiency diffusion MRI (dMRI). Previously, he optimized the navigator acquisition for multi-shot interleaved EPI dMRI and further combined it with simultaneous multi-slice (SMS) for improved scan efficiency. Meanwhile, he also merged SMS and multi-slab techniques to achieve high-resolution isotropic imaging. Currently, Erpeng Dai is mainly working on developing high-fidelity and high-resolution dMRI, cortical dMRI and microstructure studies.
Professor of Radiology (General Radiology) and, by courtesy, of Pediatrics (Hematology/Oncology)
Current Research and Scholarly Interests As 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.
Professor of Radiology (Body Imaging) and, by courtesy, of Bioengineering
Current Research and Scholarly Interests 1. 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.
Clinical Associate Professor, Radiology - Rad/Nuclear Medicine
Bio Dr. Guido A. Davidzon is a physician-scientist board certified in Nuclear Medicine. He is an attending physician in Nuclear Medicine and Molecular Imaging at Stanford Health Care.
He graduated with honors from medical school in Argentina and completed an internship at Yale University New-Haven Hospital in Connecticut. He did his residency and was chief resident at Stanford Health Care. He completed a research fellowship in mitochondrial diseases at Columbia University in New York and, a U.S. National Library of Medicine Award supported, Biomedical Informatics fellowship at Massachusetts General Hospital in conjunction with a Science Masters at MIT.
Dr. Davidzon is a Clinical Associate Professor in the Department of Radiology at Stanford University. His clinical specialties include early diagnostic imaging of cancer, coronary artery disease, and dementias using molecular probes as well as the treatment of cancer for which he employs targeted radiopharmaceutical therapy.
Dr. Davidzon investigates the use of machine learning in medical imaging to improve clinical outcomes, he is involved in the professional Society of Nuclear Medicine and Molecular Imaging. He serves as a peer reviewer for multiple medical journals. Dr. Davidzon is a native of Buenos Aires, Argentina and has lived in the U.S. for over a decade. He travels to Argentina frequently, with his wife and three sons.