School of Medicine
Showing 51-100 of 669 Results
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Brian Boitnott
Ph.D. Student in Biomedical Physics, admitted Autumn 2023
BioI am currently a Biomedical Physics PhD candidate in the Department of Radiology. In the two years prior to Stanford, I was at MIT Lincoln Laboratory, where I worked on remote sensing systems and was on the core team developing a laser-ultrasound system for medical imaging.
My interests revolve around health technology and perception. I started in neuroscience, studying attention and cognitive control, and now work on designing systems and algorithms for sensing and processing biomedical signals. My broader interests are at the intersection between emerging technology innovation, translation, and long-term innovation strategy. -
Serena Bonaretti
Physical Science Research Scientist, Rad/Musculoskeletal Imaging
BioPlease visit My Personal Site and the JOINT Group Website (Links on the right)
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Robert Downey Boutin
Clinical Professor, Radiology
BioDr. Boutin works clinically as a musculoskeletal radiologist interpreting a broad array of diagnostic imaging examinations, most frequently MRI, CT, sonography, and radiography.
The clinical focus for Dr. Boutin is MRI and CT of joints, bones, and muscles, as well as adding value to routine radiology exams by translating advancements from fields of artificial intelligence and imaging informatics. These advancements include enhancing routine imaging exams to help promote physical function, quality of life, and healthspan in our patients. Because the worldwide population of people > 60 years of age is projected to double by 2050, there is a crucial need for improvements in the accurate and efficient management of derangements associated with biological aging, including osteoporosis, sarcopenia, and adiposity.
Dr. Boutin was introduced to orthopaedics at an early age by his father and older brother -- both orthopaedists. After earning undergraduate and graduate degrees at Stanford University, Dr. Boutin completed advanced fellowship training in Musculoskeletal Imaging at the University of California, San Diego, and worked on the faculty at Harvard Medical School. Core professional values include a commitment to outstanding quality, compassion, safety, and integrity.
Dr. Boutin is a leader in musculoskeletal imaging. He is the President of the Society of Academic Bone Radiologists and serves on the Appropriateness Criteria Panel for the American College of Radiology. He is an Assistant Editor at the American Journal of Roentgenology (AJR), and recently served as the Chair of the Musculoskeletal Imaging Program Committee for the largest medical meeting in the world (RSNA).
He is a frequent invited lecturer for continuing medical education courses, such as those at the annual meetings of the Radiological Society of North America, the International Skeletal Society, and the American Roentgen Ray Society. He also lectures regularly at the international Orthopaedic Imaging course in Davos, Switzerland. -
Michael Patrick Broennimann
Affiliate, Rad/Interventional Radiology
Visiting Scholar, Rad/Interventional RadiologyBioI am a Swiss board-certified radiologist specializing in interventional radiology and currently serve as a Visiting Scholar in Interventional Radiology at Stanford University. I am an Attending Radiologist in the Department of Diagnostic, Interventional and Pediatric Radiology at Inselspital, Bern University Hospital.
I received my M.D. from the University of Bern in 2016 and obtained board certification in Radiology in 2020. In 2025, I earned the European Board of Interventional Radiology (EBIR). I further completed a fellowship in Interventional Radiology at Charité – Universitätsmedizin Berlin.
My clinical work focuses on minimally invasive image-guided oncologic and vascular interventions, with particular expertise in interventional oncology. My procedural spectrum includes CT-guided lung biopsy, liver-directed therapies such as TACE, SIRT, and TIPS, as well as percutaneous tumor ablation.
My academic interests center on interventional oncology and image-guided therapies. I have authored multiple peer-reviewed publications in this field. -
Thomas Brosnan
Research scientist, Rad/Radiological Sciences Laboratory
Current Role at StanfordOffline data reconstruction and display; architecture and programming support for clinical research MR scans; image data transfer; image display; troubleshooting; data encryption and security.
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Sujatha Buddhe
Clinical Professor, Pediatrics - Cardiology
Clinical Associate Professor (By courtesy), Radiology - Pediatric RadiologyBioDr. Buddhe earned her medical degree from the Osmania Medical College, Hyderabad, India. She completed her pediatrics residency and chief residency at the Brookdale University Hospital and Medical Center, NY and pediatric cardiology fellowship at the Children's Hospital of Michigan. Her advanced fellowship training in pediatric cardiac non-invasive imaging was completed at the Columbia University College of Physicians and Surgeons, Morgan Stanley Children's Hospital in New York. She earned her Masters degree in Clinical research and statistical analysis at the University of Michigan, Ann Arbor. She worked at Seattle Children's Hospital, University of Washington for almost ten years where she served as the Director of Non-invasive Imaging research and the Co-Director of cardiac MRI program. Her research interests include echocardiography and Cardiac MRI.
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Tracy Burk
Sr. Program Manager, Quality and Clinical Initiatives, Rad/Radiology Finance and Administration
Current Role at StanfordSr. Program Manager, Quality and Clinical Initiatives
Department of Radiology, Stanford School of Medicine
Program Manager, Stanford/Intermountain Healthcare Collaboration Grant Program -
Pere Canals
Postdoctoral Scholar, Radiology
Current Research and Scholarly InterestsI have deep interest in studying how to leverage state-of-the-art AI advancements in the field of computer vision to develop applications with a practical use in day-to-day workflows in stroke treatment and other neurovascular diseases. For example, I want to study how we can use foundation models in 3D imaging to unlock novel applications with a real impact on stroke care. My main expertise has resided in understanding how complex vascular anatomies impact endovascular treatment in stroke.
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Carlos Castillo Passi
Postdoctoral Scholar, Radiological Sciences Laboratory
BioCarlos Castillo-Passi began his academic journey at Pontificia Universidad Catolica de Chile (PUC), where he earned both a degree and an MSc in Electrical Engineering in 2018. He then pursued a PhD in Biological and Medical Engineering through a joint program between PUC and King’s College London (KCL), completing it with maximum distinction in 2024. His research focused on the design of low-field cardiac MRI sequences using open-source MRI simulations. In 2023, his work on open-source MRI simulations was highlighted by the editor of Magnetic Resonance in Medicine (MRM). Furthermore, his application of this work to low-field cardiac MRI earned him the Early Career Award in Basic Science from the Society for Cardiovascular Magnetic Resonance (SCMR) in 2024. In addition to his research, Carlos is an active member of JuliaHealth, contributing to the development of high-performance, reproducible tools for health and medicine. In 2025, he joined Stanford University as a postdoctoral researcher, where he continues his work in cardiac MRI and open-source technologies.
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Edwin Chang
Director, Small Animal Imaging Facility at Porter Drive, Rad/Molecular Imaging Program at Stanford
Current Role at StanfordDirector, SCI3@Porter or the Canary Core Preclinical Imaging Facility at Stanford
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Stephanie Tzu-Ying Chang
Assistant Professor of Radiology
BioDr. Stephanie Chang is an Assistant Professor in Radiology at Stanford University School of Medicine and Interim Director of Diagnostic Radiology in the Department of Radiology at VA Palo Alto.
Dr. Chang’s research program aims to utilize state-of-the-art diagnostic technology to non-invasively detect abdominal diseases that predispose or lead to cancer since the most beneficial and cost-effective cancer imaging occurs in the screening/early detection phase.
Currently, metabolic dysfunction-associated steatotic liver disease (MASLD) and metabolic dysfunction-associated steatohepatitis (MASH) are leading worldwide causes of end-stage liver disease and liver cancer (hepatocellular carcinoma, HCC). To determine the optimal multimodality screening and diagnostic pathway, Dr. Chang leads prospective research studies at VA Palo Alto comparing blood-based and imaging-based diagnostic tests – the Fibrosis-4 (FIB-4) Index, the Enhanced Liver Fibrosis (ELF) test, vibration controlled transient elastography (VCTE), ultrasound point shear wave elastography (US pSWE), and magnetic resonance imaging (MRI) elastography – among high-risk veterans with obesity and/or type 2 diabetes to compare relative performance and costs/benefits.
To improve detection of hepatocellular carcinoma (HCC) among patients with end-stage liver disease (cirrhosis), Dr. Chang also serves as a member of the VA National Radiology Working Group and radiology local site investigator at VA Palo Alto for a multicenter VA research study CSP #2023 PREventing liver cancer Mortality through Imaging with Ultrasound vs. MRI (PREMIUM STUDY) comparing US and MRI to determine optimal screening strategies for hepatocellular carcinoma.
While MRI has the overall highest sensitivity and specificity for many diseases and contains additional biological/prognostic information not obtainable via other imaging methods, the utility of MRI as a powerful non-invasive screening tool has been hampered by its limitations in access, time, and cost. Dr. Chang is interested in significantly shortening MRI exam times to accelerate MRI throughput, decrease patient discomfort, and reduce costs. To accomplish this goal, Dr. Chang is interested in improving pulse sequences to shorten MRI acquisition times while maintaining or increasing diagnostic quality. In addition, Dr. Chang is interested in novel MRI techniques to improve disease detection and staging. -
Akshay Chaudhari
Associate Professor (Research) of Radiology (Integrative Biomedical Imaging Informatics at Stanford) and of Biomedical Data Science
Current Research and Scholarly InterestsDr. Chaudhari is interested in the application of artificial intelligence techniques to all aspects of medical imaging, including automated schedule and reading prioritization, image reconstruction, quantitative analysis, and prediction of patient outcomes. His interests focus on the development and evaluation new self-supervised and representation learning techniques for multi-modal deep learning in healthcare using vision, language, and medical records data
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Anthony Chen
Clinical Scholar, Radiology
BioYou may enter a brief narrative containing biographical information
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Shashank Chetty
Basic Life Research Scientist, Rad/Pediatric Radiology
BioMCHRI Post-doctoral Fellow
Co-Chair, SURPAS -
Rafail Christodoulou
Visiting Instructor, Rad/Neuroimaging and Neurointervention
BioRafail Christodoulou, is an analytically minded medical doctor with a profound interest in neuroradiology and neurointerventional radiology. He graduated with an excellent average mark from the University of Patras, Greece, where he deeply engaged with the fields of radiology and interventional neuroradiology. His robust clinical experience includes completing electives and observerships at premier medical institutions in the United States, reinforcing his commitment to delivering patient-centered care. Rafail's approach is characterized by compassion and an ability to communicate effectively with diverse patient groups. Beyond his clinical pursuits, Rafail is actively involved in research, focusing on the application of artificial intelligence in diagnosing and managing brain tumors and dementia. His research aims to enhance diagnostic accuracy and patient outcomes, reflecting his dedication to advancing medical science. Additionally, Rafail maintains a balanced lifestyle with interests in basketball, martial arts, strength training, and swimming, underscoring his commitment to personal and professional well being.
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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.
