School of Medicine
Showing 1-10 of 25 Results
Associate Professor of Radiology (Pediatric Radiology)
Current Research and Scholarly InterestsUltrasonic beamforming, imaging methods, systems, and devices.
Postdoctoral Research Fellow, Radiological Sciences Laboratory
BioDr. 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 (termed “SMSlab”) to achieve high-resolution isotropic imaging. Currently, Erpeng Dai is mainly working on high-resolution dMRI on ultra-high field (7T) systems.
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.
Professor of Radiology (Body Imaging)
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 Assistant Professor, Radiology - Rad/Nuclear Medicine
BioDr. 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 Clinical Assistant 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.
Wendy B. DeMartini, M.D., FSBI
Professor of Radiology (Breast Imaging) at the Stanford University Medical Center
BioDr. Wendy DeMartini is a Professor and the Chief of the Breast Imaging Division in the Department of Radiology at Stanford University School of Medicine. Dr. DeMartini completed her fellowship in Breast Imaging at the University of Washington School of Medicine in Seattle, Washington. She then served as Breast Imaging faculty at the University of Washington where she became Associate Professor and Associate Director of Clinical Services, and at the University of Wisconsin where she became Professor and Chief of Breast Imaging. Her work is focused upon high quality patient care, clinical research and education.
Dr. DeMartini has more than 100 research presentations, abstracts/publications, review articles or book chapters. Her research is directed toward the appropriate evidence-based use of imaging tests to optimize the detection and evaluation of breast cancer. She has served as an investigator on several studies of breast MRI funded by the National Cancer Institute and by the American College of Radiology Imaging Network (ACRIN). Particular research topics have included the development of a pilot tool for predicting the probability of malignancy of breast MRI lesions, assessment of the impact of background parenchymal enhancement (BPE) on breast MRI accuracy, and evaluation of current utilization patterns of breast MRI and other emerging technologies.
Dr. DeMartini is a highly sought-after educator. She lectures on a broad spectrum of breast imaging topics nationally and internationally, including in the Americas, Europe, Australasia and Africa. She is also the Co-Director of the American College of Radiology (ACR) Education Center Breast MRI with Biopsy Course. Dr. DeMartini is an active member of many professional organizations and committees, including in the Radiologic Society of North America, the American College of Radiology and the Society of Breast Imaging (SBI). She was elected as an SBI Fellow in 2009, and will be President of the SBI in 2017-2018.
Professor of Radiology (Canary Cancer Center)
BioDr. Demirci is currently a Professor at Stanford University School of Medicine with tenure at the Canary Center for Early Cancer Detection. Prior to his Stanford appointment, he was an Associate Professor of Medicine at Brigham and Women's Hospital, Harvard Medical School and at Harvard-MIT Division of Health Sciences and Technology serving at the Division of Biomedical Engineering, Division of Infectious Diseases and Renal Division. He leads a group of 20+ researchers focusing on micro- and nano-scale technologies. He received his B.S. degree in Electrical Engineering in 1999 as a James B. Angell Scholar (summa cum laude) from University of Michigan, Ann Arbor. He received his M.S. degree in 2001 in Electrical Engineering, M.S. degree in Management Science and Engineering in 2005, and Ph.D. in Electrical Engineering in 2005, all from Stanford University.
The Demirci Bio-Acoustic MEMS in Medicine Lab (BAMM) specializes in applying micro- and nanoscale technologies to problems in medicine at the interface between micro/nanoscale engineering and medicine. Our goal is to apply innovative technologies to clinical problems. Our major research theme focuses on creating new microfluidic technology platforms targeting broad applications in medicine. In this interdisciplinary space at the convergence of engineering, biology and materials science, we create novel technologies for disposable point-of-care (POC) diagnostics and monitoring of infectious diseases, cancer and controlling cellular microenvironment in nanoliter droplets for biopreservation and microscale tissue engineering applications. These applications are unified around our expertise to test the limits of cell manipulation by establishing microfluidic platforms to provide solutions to real world problems at the clinic.
Our lab creates technologies to manipulate cells in nanoliter volumes to enable solutions for real world problems in medicine including applications in infectious disease diagnostics and monitoring for global health, cancer early detection, cell encapsulation in nanoliter droplets for cryobiology, and bottom-up tissue engineering. Dr. Demirci has published over 120 peer reviewed publications in journals including PNAS, Nature Communications, Advanced Materials, Small, Trends in Biotechnology, Chemical Society Reviews and Lab-chip, over 150 conference abstracts and proceedings, 10+ book chapters, and an edited book. His work was highlighted in Wired Magazine, Nature Photonics, Nature Medicine, MIT Technology Review, Reuters Health News, Science Daily, AIP News, BioTechniques, and Biophotonics. He is fellow-elect of the American Institute of Biological and Medical Engineering (AIMBE, 2017). His scientific work has been recognized by numerous national and international awards including the NSF Faculty Early Career Development (CAREER) Award (2012), the IEEE-EMBS Early Career Achievement Award (2012), Scientist of the year award from Stanford radiology Department (2017). He was selected as one of the world’s top 35 young innovators under the age of 35 (TR-35) by the MIT Technology Review at the age of 28. In 2004, he led a team that won the Stanford University Entrepreneur’s Challenge Competition and Global Start-up Competition in Singapore. His work has been translated to start-up companies including DxNow, KOEK Biotechnology and LEVITAS. There has been over 10,000 live births in the US, Europe and Turkey using the sperm selection technology that came out of Dr. Demirci's lab. He has been cited over 2500 times within the last two years (H index, 48).