School of Medicine
Showing 301-350 of 666 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 (Biomedical Informatics Research), of Biomedical Data Science and Senior Fellow at the Stanford Institute for HAI
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 Assistant 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 10/14/2024 To 04/25/2025BioDavid B. Larson, MD, MBA, is Professor of Radiology (Pediatric Radiology) and Executive Vice Chair in the Department of Radiology at Stanford University. He also serves as the Associate Chief Quality Officer for Improvement for Stanford Health Care, overseeing improvement training programs at SHC. Dr. Larson is a national thought leader in radiology quality improvement and patient safety, and a regular speaker regarding topics ranging from pediatric CT radiation dose optimization to radiology peer learning. He is the founder of Stanford’s Realizing Improvement through Team Empowerment (RITE) program and co-founder of the Clinical Effectiveness Leadership Training (CELT) program, continuing to serve as co-executive director of both programs. He also founded and leads the Stanford Medicine Improvement Capability Development Program (ICDP) and the Advanced Course in Improvement Science (ACIS).
Dr. Larson is the founder and program chair for the annual Radiology Improvement Summit held annually at Stanford, which began in 2015. He currently 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. He also founded and leads the ACR Learning Network, which was launched in 2021.
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 training at the University of Colorado Health Sciences Center in Denver, Colorado. Dr. Larson is a pediatric radiologist at Lucile Packard Children's Hospital at Stanford. He and his wife, Tara, live in Portola Valley, California and have four children. -
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. Lead a scientific team and skilled in project management with a portfolio of academic and pharmaceutical/biotechnology partners. Broad foundation in molecular biology assays and in vivo disease models.
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Jeong Hoon Lee
Postdoctoral Scholar, Radiology
BioLeveraging a strong foundation in data science and engineering, my objective is to address challenges within the biomedical sector. My experience encompasses a broad spectrum of data, including radiology, genomics, histopathology, and clinical data. I am committed to integrating these diverse datasets to conduct research aimed at benefiting patients.
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Jooho Lee
Graduate, Medicine, Radiology
BioJooho is a visiting PhD student researcher at Stanford University, working with Prof. Adam Wang in the Department of Radiology. His research focuses on solving inverse problems in medical imaging and computer vision, with an emphasis on X-ray computed tomography (CT) imaging. He aims to develop AI-driven solutions to improve healthcare and medicine.
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Ann Leung
Professor of Radiology (Thoracic Imaging)
On Partial Leave from 02/21/2025 To 05/02/2025Current 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
Director, 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. -
Congyu Liao
Instructor, Radiology
BioCongyu Liao is an Instructor in the Radiological Sciences Laboratory (RSL) at Stanford University. Dr. Liao earned his PhD in Biomedical Engineering from Zhejiang University, China, in 2018. Following his PhD, he joined the Athinoula A. Martinos Center for Biomedical Imaging at Massachusetts General Hospital and Harvard Medical School as a Postdoctoral Research Fellow under Dr. Kawin Setsompop, where his research focused on improving MRI data acquisition and reconstruction efficiency. In 2021, he joined Dr. Setsompop's lab at Stanford RSL as an Instructor, with research focused on developing novel technologies for diffusion and quantitative MRI. Dr. Liao has received several honors, including the Summa Cum Laude Merit Award and the Junior Fellow Award from the International Society for Magnetic Resonance in Medicine (ISMRM). Recently, he was awarded an NIH R01 grant as Principal Investigator to use mesoscale quantitative and diffusion MRI techniques to study infant brain development.
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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/Canary Center at Stanford for Cancer Early Detection
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
Postdoctoral Scholar, Radiology
BioDr. Yongkai Liu is a postdoctoral scholar at Stanford's Center for Advanced Functional Neuroimaging, led by Drs. Greg Zaharchuk and Michael Moseley. His interests lie in developing and evaluating advanced techniques for improving treatment decision-making and prognostics in brain diseases, especially 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 and 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, earning widespread recognition for his work. His accolades include the K99/R00 Award, the AJNR Lucien Levy Award, the David M. Yousem Research Fellow Award, and being named a semi-finalist for the 2024 Cornelius G. Dyke Award, all of which underscore his potential to make significant contributions in the future (https://med.stanford.edu/rsl/news/yongkai-liu-receives-research-fellow-award.html). -
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
Assistant 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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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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Ning Lu
Postdoctoral Scholar, Molecular Imaging Program at Stanford
BioNing Lu received a joint Ph.D. degree in Biomedical Engineering and Scientific Computing from the University of Michigan, Ann Arbor, USA, in 2023. Previously, she earned a B.S.E. degree (highest honors) in Biomedical Engineering from Southeast University, Nanjing, China, in 2018. From May 2022 to September 2022, she worked at Meta (formerly Facebook) Reality Labs as a research scientist intern on ultrasonic eye tracking for AR/VR wearable devices, in Redmond, Washington, USA. Her research interests include ultrasound instrumentation, ultrasound therapy, ultrasound imaging algorithms, and AI in healthcare.
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Darren P. Lum
Clinical Assistant Professor, Radiology
Current Research and Scholarly InterestsPhase Contrast Flow MRI, Valvular Heart Disease, Cardiovascular MRI
