School of Medicine
Showing 101-150 of 659 Results
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Jeremy Dahl
Associate Professor of Radiology (Pediatric Radiology)
On Partial Leave from 07/01/2024 To 06/30/2025Current Research and Scholarly InterestsUltrasonic beamforming, imaging methods, systems, and devices.
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Erpeng Dai
Instructor, Radiology
BioDr. Erpeng Dai's research interest is focused on advanced neuro MRI technique development and application. Previously, he has developed a series of novel techniques for high-resolution and fast diffusion MRI (dMRI). Currently, he is mainly working on distortion-free dMRI, advanced diffusion encoding, and brain microstructure and connectivity studies.
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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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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 Associate 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 U.S. National Library of Medicine-supported Biomedical Informatics fellowship at Massachusetts General Hospital with a Science Master at MIT.
Dr. Davidzon is a Clinical Associate Professor in the Department of Radiology at Stanford University. His clinical specialties include molecular probe-based early diagnostic imaging of cancer, coronary artery disease, and dementia, as well as targeted radiopharmaceutical therapy for cancer treatment.
Dr. Davidzon is the Cardiac PET and SPECT program director and the acting Chair of the Radioactive Drug Research and Clinical Radiation Safety Committees. Guido steers clinical efforts in using PET to evaluate cognitive disorders and assess treatment response for patients receiving novel anti-amyloid therapies. He is an active member of the Artificial Intelligence Task Force at the SNMMI and leads research and translational efforts in artificial intelligence and nuclear medicine at Stanford. Dr. Davidzon is the immediate past President of the Northern California Chapter of the SNMMI. -
Johannes Hugo Decker
Clinical Instructor, 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. -
Wendy DeMartini
Professor of Radiology (Breast Imaging)
BioDr. Wendy DeMartini is a Professor in the Department of Radiology at Stanford University School of Medicine. She currently serves as the Associate Chair for Clinical Faculty Affairs in the Department of Radiology, and is the past Division Chief of Breast Imaging. Her work is focused upon high quality patient care, clinical research and education.
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.
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 utilization patterns of breast MRI and other emerging technologies. She also served as the Editor-in-Chief of the Journal of Breast Imaging from 2023 to 2024.
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 the past 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 served as President of the SBI in 2017-2018. -
Utkan Demirci
Professor of Radiology (Canary Cancer Center) and, by courtesy, of Electrical Engineering
On Partial Leave from 02/26/2024 To 02/25/2025BioDr. Utkan Demirci, UofM’99, Stanford’01’05’05, is a Professor of Radiology (with tenure) and of Electrical Engineering (by courtesy) at the Canary Center at Stanford for Cancer Early Detection, Stanford University School of Medicine, where he leads a productive researcher group. Utkan is a tenured professor at Stanford University School of Medicine. Prior to joining Stanford in 2014, he held the position of Associate Professor at the Brigham and Women’s Hospital-Harvard Medical School and also served at the Harvard-MIT Health Sciences and Technology division. Over the past decade, his research group has focused on the early detection of cancer and has made significant contributions to the development of microfluidic platforms for sorting rare cells and exosomes and point-of-care bio-sensing technologies.
Dr. Demirci leads a productive and impactful research group focused on addressing problems from the clinic with innovations including cell sorter for IVF, optical technologies for detecting viruses, portable point of care technologies for diagnostics in global health, smart robots in vivo, extracellular vesicle based early detection approaches for cancer. He is an elected fellow of the American Institute of Medical and Biological Engineering and The Academy for Radiology & Biomedical Imaging Research Distinguished Investigator.
He has published over 250 peer-reviewed articles, 300 abstracts and proceedings, 24 book chapters and editorials, and 7 edited books. He also serves on the editorial board of various journals. He holds 15 patents (11 of which are translated into broadly used biomedical products) and has co-founded multiple successful companies. Dr. Demirci's pioneering work in microfluidics and cell sorting has resulted in CE certified and FDA approved devices used in over 500,000 clinical cases serving patients globally. -
Arjun Desai
Casual - Non-Exempt, Rad/Integrative Biomedical Imaging Informatics at Stanford
BioArjun Desai is a 4th year PhD candidate working with Akshay Chaudhari and Chris Ré. He is broadly interested in how we can accelerate the pace at which artificial intelligence can be used robustly, safely and at scale in practice. His research focuses on the intersection of signal processing and machine learning and how we can build scalable deployment and validation systems for applications in heathcare and the sciences.
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Joseph M. DeSimone
Sanjiv Sam Gambhir Professor of Translational Medicine, Professor of Chemical Engineering and, by courtesy, of Chemistry, of Materials Science and Engineering, and of Operations, Information and Technology at the Graduate School of Business
BioJoseph M. DeSimone is the Sanjiv Sam Gambhir Professor of Translational Medicine and Chemical Engineering at Stanford University. He holds appointments in the Departments of Radiology and Chemical Engineering with courtesy appointments in the Department of Chemistry and in Stanford’s Graduate School of Business.
The DeSimone laboratory's research efforts are focused on developing innovative, interdisciplinary solutions to complex problems centered around advanced polymer 3D fabrication methods. In Chemical Engineering and Materials Science, the lab is pursuing new capabilities in digital 3D printing, as well as the synthesis of new polymers for use in advanced additive technologies. In Translational Medicine, research is focused on exploiting 3D digital fabrication tools to engineer new vaccine platforms, enhanced drug delivery approaches, and improved medical devices for numerous conditions, with a current major focus in pediatrics. Complementing these research areas, the DeSimone group has a third focus in Entrepreneurship, Digital Transformation, and Manufacturing.
Before joining Stanford in 2020, DeSimone was a professor of chemistry at the University of North Carolina at Chapel Hill and of chemical engineering at North Carolina State University. He is also Co-founder, Board Chair, and former CEO (2014 - 2019) of the additive manufacturing company, Carbon. DeSimone is responsible for numerous breakthroughs in his career in areas including green chemistry, medical devices, nanomedicine, and 3D printing. He has published over 350 scientific articles and is a named inventor on over 200 issued patents. Additionally, he has mentored 80 students through Ph.D. completion in his career, half of whom are women and members of underrepresented groups in STEM.
In 2016 DeSimone was recognized by President Barack Obama with the National Medal of Technology and Innovation, the highest U.S. honor for achievement and leadership in advancing technological progress. He has received numerous other major awards in his career, including the U.S. Presidential Green Chemistry Challenge Award (1997); the American Chemical Society Award for Creative Invention (2005); the Lemelson-MIT Prize (2008); the NIH Director’s Pioneer Award (2009); the AAAS Mentor Award (2010); the Heinz Award for Technology, the Economy and Employment (2017); the Wilhelm Exner Medal (2019); the EY Entrepreneur of the Year Award (2019 U.S. Overall National Winner); and the Harvey Prize in Science and Technology (2020). He is one of only 25 individuals elected to all three branches of the U.S. National Academies (Sciences, Medicine, Engineering). DeSimone received his B.S. in Chemistry in 1986 from Ursinus College and his Ph.D. in Chemistry in 1990 from Virginia Tech. -
Terry Desser
Professor of Radiology (Abdominal Imaging), Emerita
Current Research and Scholarly InterestsImaging of gastrointestinal tract cancer
Ultrasound
Simulated learning environment -
Jennifer Dionne
Professor of Materials Science and Engineering and, by courtesy, of Radiology (Molecular Imaging Program at Stanford)
BioJennifer Dionne is the Senior Associate Vice Provost of Research Platforms/Shared Facilities and an Associate Professor of Materials Science and Engineering and of Radiology (by courtesy) at Stanford. Jen received her Ph.D. in Applied Physics at the California Institute of Technology, advised by Harry Atwater, and B.S. degrees in Physics and Systems & Electrical Engineering from Washington University in St. Louis. Prior to joining Stanford, she served as a postdoctoral researcher in Chemistry at Berkeley, advised by Paul Alivisatos. Jen's research develops nanophotonic methods to observe and control chemical and biological processes as they unfold with nanometer scale resolution, emphasizing critical challenges in global health and sustainability. Her work has been recognized with the Alan T. Waterman Award (2019), an NIH Director's New Innovator Award (2019), a Moore Inventor Fellowship (2017), the Materials Research Society Young Investigator Award (2017), Adolph Lomb Medal (2016), Sloan Foundation Fellowship (2015), and the Presidential Early Career Award for Scientists and Engineers (2014), and was featured on Oprah’s list of “50 Things that will make you say ‘Wow!'"
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Bao Do
Clinical Associate Professor (Affiliated), Rad/Musculoskeletal Imaging
Staff, Radiology - Diagnostic RadiologyBioClinical Associate Professor of Radiology (Affiliated), Stanford University
VISN21 Chief of Radiology Informatics, Dept of Veterans Affairs
Residency: Diagnostic Radiology University of Iowa, Stanford University
Fellowship: Musculoskeletal / Thoracic, Stanford University
www.stanford.edu/~baodo -
Robert Dodd, MD, PhD
Associate Professor of Neurosurgery, of Radiology and, by courtesy, of Otolaryngology - Head & Neck Surgery (OHNS)
Current Research and Scholarly InterestsDr. Dodd is involved in clinical trials using endovascular coils that have a fiber coating that help heal aneurysms of the neck and can prevent an aneurysm from reforming. He uses minimally invasive endoscopic techniques to treat brain tumors.
Dodd's research interests are in cerebral blood vessel reactivity and stroke. -
Gozde Durmus
Assistant Professor (Research) of Radiology (Molecular Imaging Program at Stanford)
Current Research and Scholarly InterestsDr. Durmus' research focuses on applying micro/nano-technologies to investigate cellular heterogeneity for single-cell analysis and personalized medicine. At Stanford, she is developing platform technologies for sorting and monitoring cells at the single-cell resolution. This magnetic levitation-based technology is used for wide range of applications in medicine, such as, label-free detection of circulating tumor cells (CTCs) from blood; high-throughput drug screening; and rapid detection and monitoring of antibiotic resistance in real-time. During her PhD, she has engineered nanoparticles and nanostructured surfaces to decrease antibiotic-resistant infections.
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Daniel Bruce Ennis
Professor of Radiology (Veterans Affairs)
BioDaniel Ennis {he/him} is a Professor in the Department of Radiology. As an MRI scientist for nearly twenty years, he has worked to develop advanced translational cardiovascular MRI methods for quantitatively assessing structure, function, flow, and remodeling in both adult and pediatric populations. He began his research career as a Ph.D. student in the Department of Biomedical Engineering at Johns Hopkins University during which time he formed an active collaboration with investigators in the Laboratory of Cardiac Energetics at the National Heart, Lung, and Blood Institute (NIH/NHLBI). Thereafter, he joined the Departments of Radiological Sciences and Cardiothoracic Surgery at Stanford University as a postdoc and began to establish an independent research program with an NIH K99/R00 award focused on “Myocardial Structure, Function, and Remodeling in Mitral Regurgitation.” For ten years he led a group of clinicians and scientists at UCLA working to develop and evaluate advanced cardiovascular MRI exams as PI of several NIH funded studies. In 2018 he returned to the Department of Radiology at Stanford University as faculty in the Radiological Sciences Lab to bolster programs in cardiovascular MRI. He is also the Director of Radiology Research for the Veterans Administration Palo Alto Health Care System where he oversees a growing radiology research program.
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Zhongnan Fang
Principal Machine Learning Scientist, Radiology
BioDr. Fang is a Principal ML Scientist in the AIDE Lab. His research interests lie in driving AI innovations in medicine, with a focus on AI model design and development, performance and robustness evaluation, and quality monitoring and debugging. Previously, he was a founding member and the Data Science Lead at LVIS corporation, pioneering personalized neurological disease treatment using cutting-edge neuroscience findings and AI technologies.
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Katherine Ferrara
Professor of Radiology (Molecular Imaging Program at Stanford)
Current Research and Scholarly InterestsMy focus is image-guided drug and gene delivery and I am engaged in the design of imaging devices, molecularly-targeted imaging probes and engineered delivery vehicles, drawing upon my education in biology and imaging physics and more than 20 years of experience with the synthesis and labeling of therapeutic particles. My laboratory has unique resources for and substantial experience in synthetic chemistry and ultrasound, CT, MR and PET imaging.
