Radiology
Showing 301-350 of 661 Results
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Barton Lane
Professor of Radiology (Diagnostic Radiology) at the Stanford University Medical Center, Emeritus
Current Research and Scholarly InterestsAs a professor in the Medical Center Line, my primary investigative interest has been in clinical neuroradiology. This encompasses spinal cord and spine disease, degenerative and demyelinating diseases of the central nervous system, strokes and infarction, and chronic epilepsy syndromes. Facial and head and neck vascular malformations and hemangiomas have been a focus of interest for many years, with collaborative projects involving dermatology and functional restoration services.
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Curtis Langlotz
Senior Associate Vice Provost for Research, Professor of Radiology (Integrative Biomedical Imaging Informatics), of Medicine, of Biomedical Data Science and Senior Fellow at the Stanford Institute for Human-Centered AI
Current Research and Scholarly InterestsMy laboratory develops machine learning methods to help physicians detect disease and eliminate diagnostic errors. My laboratory is developing neural network systems that detect and classify disease on medical images. We also develop natural language processing methods that use the narrative radiology report for contrastive learning and other multi-modal methods that improve the accuracy and capability of machine learning systems.
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Bryan Lanzman, MD
Clinical Associate Professor, Radiology
BioDr. Bryan Lanzman completed his medical degree and radiology residency at Columbia University Medical Center, before coming to Stanford University for a 2-year Neuroradiology fellowship. He joined the faculty at Stanford in 2017 and is actively involved in medical student and resident education, as well as quality improvement efforts within the neuroradiology section. He also serves as a co-director of the Neuroradiology clerkship for medical students, and for the Neuroradiology elective for neurology residents.
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David Larson
Professor of Radiology (Pediatric Radiology)
On Partial Leave from 01/15/2026 To 05/15/2026BioDavid B. Larson, MD, MBA, is Professor of Radiology (Pediatric Radiology) in the Department of Radiology at Stanford University. His career is focused on managing and improving complex sociotechnical healthcare systems to drive continuous operational improvement for the benefit of patients and clinicians. His research and leadership activities span the sociotechnical spectrum, from the development of process control systems that optimize CT radiation dose to transitioning the field of radiology from "peer review" toward "peer learning" to foster a more collaborative and constructive work environment.
He has founded and directed numerous improvement programs at Stanford and beyond, including Stanford’s Realizing Improvement through Team Empowerment (RITE) program, the Clinical Effectiveness Leadership Training (CELT) (program co-founder), Stanford Medicine's Improvement Capability Development Program (ICDP), and the Stanford Medicine Center for Improvement's (SMCI's) Advanced Course in Improvement Science (ACIS). He is also the founder and co-director of the American College of Radiology's (ACR's) Learning Network, its various Improvement Collaboratives, and the ImPower improvement training and project support program.
Dr. Larson served for over 10 years in various senior leadership roles in the Stanford Department of Radiology, including Associate Chair for Performance Improvement, Vice Chair for Education and Clinical Operations, Executive Vice Chair, and Acting Chair. He currently serves as the Director of the Stanford Radiology AI Development and Evaluation (AIDE) Lab. He also serves as the Medical Director of Performance Improvement at Stanford Health Care.
Dr. Larson has applied his experience to advance the thinking and application of systematic improvement methods in the field of radiology. He is the founder and program chair for the annual Radiology Improvement Summit held annually at Stanford, which began in 2016. He serves on the Board of Trustees of the American Board of Radiology, overseeing quality and safety, and on the Board of Chancellors for the American College of Radiology as the chair of the ACR's Commission on Quality and Safety.
Prior to his position at Stanford, Dr. Larson was the Janet L. Strife Chair for Quality and Safety in Radiology and a faculty member of the James M. Anderson Center for Health Systems Excellence at Cincinnati Children’s Hospital in Cincinnati, Ohio. He holds MD and MBA degrees from Yale University and completed his pediatric internship and radiology residency and fellowship at the University of Colorado Health Sciences Center in Denver, Colorado. Dr. Larson practices clinically at Lucile Packard Children's Hospital at Stanford. -
Jason Thanh Lee
Deputy Director, Molecular Imaging Program, Rad/Molecular Imaging Program at Stanford
BioBiomedical imaging scientist in preclinical molecular and nuclear imaging, particularly employing PET, CT and optical techniques. Applications include therapeutic development, oncology, immunotherapy, neuroscience, and molecular biology. Active in translational diagnostics research and development. Broad foundation in molecular biology assays and in vivo disease models.
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Ann Leung
Professor of Radiology (Thoracic Imaging)
Current Research and Scholarly InterestsHigh-resolution computed tomography of the thorax, particularly its application in the setting of acute lung disease in the immunocompromised host; quantitative assessment of abnormalities using thin-section CT; and enhancement characteristics of lung cancers on CT and MRI
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Christoph Leuze
Casual - Non-Exempt, Rad/Body Imaging
BioDr. Christoph Leuze is director of the Visualization Core at the Stanford Wu Tsai Institute where his research focuses on data visualization, data processing and user interaction. His goal is to leverage Artificial Intelligence and Augmented Reality to automate creation of guidance and training applications by learning from expert users. He taught the first Stanford course on medical mixed reality development and founded the Stanford Medical Mixed Reality program, an institute-wide initiative to bring together academia, clinic and industry to establish and improve mixed reality applications for patient care.
Dr. Leuze has received multiple prizes for his work in Augmented Reality including the IEEE VR People's choice award for the best AR demo, the TechConnect Award for one of the most promising technological innovations for national security and the prize for the best 3D video at the Ars Electronica Art and Science Festival. Dr. Leuze has studied at Leipzig and Chiba University and received the Otto Hahn medal of the Max Planck Society for his PhD thesis at the Max Planck Institute for Human Cognitive and Brain Sciences in Leipzig. -
Marc Levenston
Associate Professor of Mechanical Engineering and, by courtesy, of Radiology (Radiological Sciences Laboratory)
Current Research and Scholarly InterestsMy lab's research involves the function, degeneration and repair of musculoskeletal soft tissues, with a focus on meniscal fibrocartilage and articular cartilage. We are particularly interested in the complex interactions between biophysical and biochemical cues in controlling cell behavior, the roles of these interactions in degenerative conditions such as osteoarthritis, and development of tissue engineered 3D model systems for studying physical influences on primary and progenitor cells.
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Craig Levin
Professor of Radiology (Molecular Imaging Program at Stanford/Nuclear Medicine) and, by courtesy, of Physics, of Electrical Engineering and of Bioengineering
Current Research and Scholarly InterestsMolecular Imaging Instrumentation
Laboratory
Our research interests involve the development of novel instrumentation and software algorithms for in vivo imaging of cellular and molecular signatures of disease in humans and small laboratory animal subjects. -
Margaret Chin-Chin Lin
Clinical Associate Professor, Radiology
BioDr. Margaret Lin is a board certified radiologist with subspecialty training in thoracic and cardiovascular imaging. Dr. Lin specializes in diseases affecting the lungs and airways, including cancer, infection, and interstitial and inhalational lung diseases. Dr. Lin has a passion for resident education and development of curricula and new educational tools. She is the current Program Director for the Diagnostic Radiology Residency Program.
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Jafi Alyssa Lipson
Clinical Associate Professor, Radiology
Current Research and Scholarly InterestsDr. Lipson's research interests include breast density and breast cancer risk assessment; informatics applications in breast imaging; early breast cancer detection and extent of disease evaluation using contrast enhanced mammography, digital breast tomosynthesis, and high resolution breast MRI; novel blood and imaging biomarkers of breast cancer burden and neoadjuvant treatment response; and image-guided wireless localization techniques for breast surgery.
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Dr. Don Listwin
Adjunct Professor, Rad/Precision Health and Integrated Diagnostics
BioDon Listwin is Founder of the Canary Foundation which is dedicated to research in the field of early detection of cancer. Together with Dr. Sanjiv (Sam) Ghambir, they created and built the Canary Center @ Stanford. Don can be reached at: dj22listwin@canaryfoundation.org
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Yongkai Liu
Instructor, Radiology
BioDr. Yongkai Liu is an instructor in the Department of Radiology, Division of Neuroimaging and Neurointervention at Stanford University. His research focuses on developing and evaluating advanced techniques to improve treatment decision-making and prognostication in brain diseases—particularly stroke—using imaging and deep learning. Dr. Liu is a recipient of the prestigious K99/R00 award for his work on integrating large language models with imaging-based deep learning for stroke outcome prediction.
Prior to joining Stanford, Dr. Liu earned his Ph.D. in Physics and Biology in Medicine from UCLA under the mentorship of Prof. Kyung Sung. This rigorous training equipped him with a strong foundation in medicine, deep learning, and physics. His Ph.D. thesis, titled “Advancing Segmentation and Classification Methods in Magnetic Resonance Imaging via Artificial Intelligence,” focused on developing cutting-edge deep learning and machine learning techniques for MRI-based clinical applications. During his master’s studies, he conducted research on CT Virtual Colonoscopy under the guidance of Prof. Jerome Liang, an IEEE Fellow.
Dr. Liu has also made significant contributions to the academic community as a peer reviewer for leading journals, including The Lancet Digital Health, NPJ Digital Medicine, Medical Image Analysis, Medical Physics, Scientific Reports, British Journal of Radiology, BJR|Artificial Intelligence, Annals of Clinical and Translational Neurology, IEEE Transactions on Medical Imaging, IEEE Journal of Biomedical and Health Informatics, IEEE Transactions on Radiation and Plasma Medical Sciences, IEEE Transactions on Biomedical Engineering, and IEEE Transactions on Neural Networks and Learning Systems.
Dr. Liu is an emerging leader in neuroimaging, stroke research, and artificial intelligence. His work has earned wide recognition, including the K99/R00 Award, the 2024 AJNR Lucien Levy Award, the David M. Yousem Research Fellow Award in both 2024 and 2025, and selection as a semi-finalist for the 2024 Cornelius G. Dyke Award. These honors underscore his promise as an investigator and his potential to make significant contributions to the field (https://med.stanford.edu/rsl/news/yongkai-liu-receives-research-fellow-award.html). His research has also been featured in Neurology Today, including his early work linking chain-of-thought methods with clinical reasoning to help advance the use of large language models in real-world clinical care (https://neurologytoday.aan.com/doi/10.1212/netod-blogs.10000031). -
Michael Loecher
Sr Research Engineer, Rad/Radiological Sciences Laboratory
BioMy research focuses primarily on improving methods for measuring flow and motion with MRI. My research interests range from image acquisition and reconstruction to error correction and post processing strategies.
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Andreas Loening
Associate Professor of Radiology (Body MRI)
Current Research and Scholarly InterestsMy lab focuses on expanding the capability of MR and PET/MR as it relates to applications in body imaging. Clinical research aims include the application of new or improved MR sequences to increase the speed, robustness, and diagnostic capability of body MR. Translation research aims include exploring new MR contrast mechanisms and contrast agents, such as for the stratification of cancer within the prostate and the evaluation of the lymphatic system.
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Yashas Ullas Lokesha
Postdoctoral Scholar, Radiology
BioDr. Yashas Ullas Lokesha is a Postdoctoral Fellow in the Department of Radiology at Stanford University, working in Professor Heike E. Daldrup Link’s laboratory since 2024. His research focuses on clinical and translational molecular imaging, with a particular interest in developing and applying artificial intelligence algorithms for the automated detection and monitoring of pediatric cancers, including lymphoma and sarcomas, using PET and MRI.
He has contributed extensively to the development of imaging techniques for the noninvasive detection of cellular senescence and has a strong interest in musculoskeletal imaging. His work aims to advance precision medicine by integrating innovative imaging science with AI-driven diagnostic tools.
Before joining Stanford, Dr. Yashas served as an Assistant Professor in the Department of Radiology at Sri Devaraj Urs Medical College in India. -
John D. Louie, MD
Clinical Professor, Radiology
Current Research and Scholarly InterestsMy research interests focus on interventional oncology which include radioembolization (SIR Spheres and Theraspheres), chemoembolization, and ablation.
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Darren P. Lum
Clinical Assistant Professor, Radiology
Current Research and Scholarly InterestsPhase Contrast Flow MRI, Valvular Heart Disease, Cardiovascular MRI
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Amelie Lutz
Adjunct Clinical Associate Professor, Radiology
Current Research and Scholarly InterestsMolecular imaging in oncology
Peripheral Nerve Imaging
Cellular imaging of musculoskeletal inflammatory diseases
Kinematic musculoskeletal imaging
Magnetic resonance imaging of hepatic disorders
