School of Medicine
Showing 51-100 of 680 Results
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Fernando E Boada
Professor of Radiology (Radiological Sciences Laboratory)
BioFernando Boada is a Professor of Radiology and Associate Chair for Basic Science Translational Research at Stanford University Medical School. [1] He joined Stanford in 2021 after being Professor of Radiology, Psychiatry and Neurosurgery at New York University Medical School and the Director of the Center for Advanced Imaging Innovation and Research. [1] Prior to joining NYU in 2012, Dr. Boada directed the MR Research Center (MRRC) at the University of Pittsburgh for ten years. [1] His research efforts have been focused on the development of novel MRI techniques for addressing open neuroimaging questions in a translational setting.
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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 airborne 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. -
Steffen Bollmann
Affiliate, Rad/Radiological Sciences Laboratory
Visiting Scholar, Rad/Radiological Sciences LaboratoryBioAfter obtaining a Master degree in Biomedical Engineering at the Ilmenau University of Technology, Steffen completed a PhD on multimodal imaging at the University Children’s Hospital and ETH Zurich, Switzerland. He then joined the Centre for Advanced Imaging at the University of Queensland as a National Imaging Facility Fellow, where he pioneered the application of deep learning methods for quantitative susceptibility mapping, in the group of Prof Markus Barth. In 2019 Steffen joined the Siemens Healthineers collaborations team at the MGH Martinos Center in Boston during a 1 year industry exchange where he worked on the translation of deep learning reconstruction techniques into clinical applications. Since joining the School of Information Technology and Electrical Engineering at the University of Queensland in 2020 Dr Bollmann develops computational methods to process quantitative magnetic resonance imaging data. Steffen is leading the development of the NeuroDesk.org platform - a flexible, scalable, and browser-based data analysis environment for reproducible neuroimaging.
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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. -
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, Section Chief in Abdominal Imaging, 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 Assistant Professor, Radiology
BioYou may enter a brief narrative containing biographical information
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Shashank Chetty
Basic Life Research Scientist, Rad/Pediatric Radiology
BioDr. Shashank Chetty is a Research Scientist at Stanford University School of Medicine specializing in regenerative medicine, extracellular vesicles, therapeutic ultrasound, and nanotechnology. His interdisciplinary research focuses on developing clinically translatable, non-invasive technologies to enhance tissue and organ regeneration, healthy aging, and the treatment of chronic and degenerative diseases through innovative bioengineering approaches.
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Rafail Christodoulou
Postdoctoral Scholar, Radiology
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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Ian Coates
Postdoctoral Scholar, Radiology
Trainer, Stanford Nano Shared Facilities Service CenterBioI am a chemical engineer advancing photopolymerization chemistry, fluid mechanics, and materials science to enable fabrication strategies once thought impossible. Pioneered injection Continuous Liquid Interface Production (iCLIP), using active resin chemistry and fluid–optical coupling to achieve order-of-magnitude gains in 3D printing speed and resolution, and translated chemical control of reactive interfaces into free-form microfluidic microneedle systems for intradermal delivery of small molecules, biologics, and mRNA. Current research applies water-soluble biocompatible sacrificial resins and projection-based fabrication workflows to design and print high-resolution, perfusable microvascular architectures for integration into 3D tissue patches.
