Stanford University
Showing 301-400 of 677 Results
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WILLIAM T. KUO, MD, FSIR, FCCP, FSVM, FACR, FCIRSE
Professor of Radiology (Interventional Radiology)
Current Research and Scholarly Interests1) LASER-ASSISTED AND COMPLEX IVC FILTER RETRIEVAL
2) CATHETER-DIRECTED THERAPY FOR ACUTE PULMONARY EMBOLISM
3) INTERNATIONAL PE REGISTRY
4) IVC FILTER REGISTRY
5) ENDOVASCULAR TREATMENT OF CAVAL AND DEEP VENOUS THROMBOSIS -
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)
BioDavid 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 recently completed a 6-year term on the Board of Chancellors for the American College of Radiology as the chair of the ACR's Commission on Quality and Safety. He currently serves as the Vice President of the American College of Radiology.
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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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 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 -
Mohammad Madani
Adjunct Clinical Assistant Professor, Radiology
Current Research and Scholarly Interestscardiovascular and thoracic imaging research; interested trainees or collaborators may contact me at mmadani@stanford.edu
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Abdelkader Mahammedi
Clinical Associate Professor, Radiology
BioDr. Abdelkader Mahammedi is Associate Professor of Neuroradiology at the Department of Radiology, Stanford University School of Medicine. He completed medical school at the University of Algiers in Algeria, and then continued a postdoctoral research fellowship in Diagnostic Radiology at Johns Hopkins Hospital under the mentorship of Dr. Stanley Siegelman. Prior to becoming a specialist neuroradiologist, Dr. Mahammedi completed a Neuroradiology fellowship at the Cleveland Clinic Imaging Institute after having completed residencies in both Nuclear Medicine and Diagnostic Radiology. His specialty interests include brain tumors, stroke, small vessel disease, head and neck imaging, and functional magnetic resonance imaging (fMRI). Dr. Mahammedi has contributed to over 30 peer-reviewed publications, including lead authoring multiple articles in high-impact journals. During the beginning of the COVID-19 pandemic, he led and collaborated with multiple institutions from Italy, Spain, and Brazil. His work was considered the first and largest study in the literature that systematically characterized neurological symptoms and neuroimaging features in hospitalized COVID-19 patients, which was published in the journal Radiology. Recently, he has published the most recent multicenter and global COVID-19-related articles, which were featured by the international media in more than 25 languages including 200 newspapers, CNN, BBC, NPR, local televised broadcasts, and the 2020 RSNA Press Release. He co-authored multiple books, including “Imaging Appearance of Migraine and Tension Type Headache” and "Humanizing BrainTumors: Strategies for You and Your Physician" which was published in 2022. Dr. Mahammedi has received numerous awards and honors, including being selected as a semi-finalist for the prestigious Cornelius Dyke Award of the American Society of Neuroradiology (ASNR) 2021, and Best Case Award at the American Institute of Radiologic Pathology (AIRP) in Neuroradiology. In 2014, he was recognized as one of the authors with top-cited articles for his work in the Journal of Thoracic Imaging at the Society of Thoracic Imaging (STR) meeting, where he introduced a new technique for early detection of pulmonary hypertension on CT scans.
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Rim Malek
Postdoctoral Scholar, Molecular Imaging Program at Stanford
Current Research and Scholarly InterestsMy work is focused on the development of small molecules radiotracers for cancer imaging, and small molecules and peptides theranostics for cancer detection, targeted radionuclide therapy, and monitoring of tumor response to therapy.
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Noeen Malik, PhD
Industry Partnership Lead, Operations CRF-1701 Page Mill Rd, Rad/Molecular Imaging Program at Stanford
Current Role at StanfordIndustry Partnership Lead
CRF, MIPS, Stanford School of Medicine, Stanford | May 2024 — present
Lead Radiochemist (R & D Scientist Engineer 2)
CRF, MIPS, Stanford School of Medicine, Stanford | March 2023 — present
Physical Science Research Scientist
CRF, MIPS, Stanford School of Medicine, Stanford | January 2022 — March 2023
Responsibilities:
• R & D of radiopharmaceuticals for oncology and neuroscience
• Industrial collaborations and partnerships
• Drafting and filing drug applications with regulatory agencies (CMCs, INDs)
• Documentation control for audits and in compliance with FDA, Boards of Pharmacy, USP, NRC, and PET CGMP standards.
• Market strategic report for theragnostic-isotopes for Nextgen Cyclotron project
• CRF website development
https://cyclotron.stanford.edu/ -
Parag Mallick
Associate Professor (Research) of Radiology (Diagnostic Sciences Laboratory)
Current Research and Scholarly InterestsThe Mallick Lab is focused on using integrative, multi-omic approaches to model the processes that govern cellular dynamics and to use those models to discover cancer biomarkers and molecular mechanisms.
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Wilfred Manzano
Clinical Instructor, Radiology
BioRadiology attending, clinical instructor
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Michael P. Marks, MD
Professor of Radiology (General Radiology), Emeritus
Current Research and Scholarly InterestsInterventional neuroradiology; cerebral arteriovenous malformations; stroke treatment and imaging; cerebral aneurysms
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Lynne Martin, MD
Clinical Assistant Professor, Radiology
BioDr. Martin is an interventional radiologist with Stanford Health Care Interventional Radiology. She is also a clinical instructor in the Department of Radiology, Division of Nuclear Medicine and Molecular Imaging at Stanford University School of Medicine.
Dr. Martin specializes in interventional oncology (minimally invasive cancer treatments). She diagnoses and treats venous (vein) disease, including venous occlusion (when a vein becomes narrowed or blocked by nearby structures), deep vein thrombosis (DVT), and vascular malformations (abnormal development of blood vessels). She also focuses on the management of cirrhosis (severe scarring of the liver) and portal hypertension (elevated pressure in a large abdominal vein). Additionally, she treats women’s health issues, such as fallopian tube blockages, chronic pelvic pain, pelvic venous disease, and uterine fibroids. She is a specialist provider for patients with HHT and pulmonary AVMs as well as patients with vascular malformations (arterial, venous, venolymphatic).
Her research interests include treatments for portal vein thrombosis (clotting), liver cancer, and health care disparities. She has also studied intra-arterial corticosteroid treatment for inflammatory bowel disease. In addition, she has explored the use of bronchial artery embolization (blocking a blood vessel) for the treatment of hemoptysis (coughing up blood) in people with cystic fibrosis.
Dr. Martin twice received the Society of Interventional Oncology (SIO) Scholarship Award. She won first place in SIO’s Artificial Intelligence Hackathon. She has also twice received the Etta Kalin Moskowitz Fund Research Award.
Dr. Martin has published in peer-reviewed journals, including the Journal of Clinical Medicine, Neuropeptides, and Journal of Vascular and Interventional Radiology. She has delivered presentations at a number of professional society meetings, including the SIO, the Society of Interventional Radiology (SIR), and the Radiological Society of North America (RSNA).
Dr. Martin is a member of several professional groups, including SIO, SIR, and RSNA. She also serves on committees such as SIO’s Education Committee and Stanford’s Performance Improvement Committee. -
Tarik F. Massoud, MD, PhD
Professor of Radiology (Neuroimaging and Neurointervention)
Current Research and Scholarly InterestsMy current interests are in molecular and translational imaging of the brain especially in neuro-oncology and cerebrovascular diseases, experimental aspects of neuroimaging, clinical neuroradiology, neuroradiological anatomy, and research education and academic training of radiologists and scientists.
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Charles McGrath
Postdoctoral Scholar, Radiological Sciences Laboratory
BioCharles McGrath is a postdoctoral scholar at the Radiological Sciences Laboratory (RSL) at Stanford University, working with Dr. Daniel Ennis on cardiovascular magnetic resonance imaging. His research focuses on flow imaging, particularly 4D flow MRI and the quantification of complex hemodynamics and on building open, reproducible simulation tools that support methods development across the cardiovascular MR community.
He earned his Dr.Sc. in Biomedical Engineering from ETH Zurich in 2024, advised by Prof. Sebastian Kozerke, with a thesis on simulation and optimal sequence design for lower-field cardiovascular MRI. During his doctoral work, he developed referenceless 4D flow MRI techniques using radial balanced SSFP at lower field strengths and contributed to widely used open-source tools for cardiovascular MR simulation (CMRsim) and sequence design (CMRseq). He is an active advocate for open science in the MR community and continues to develop and maintain these tools as part of his research practice. He previously received an M.Sc. with distinction in Biomedical Engineering (Medical Physics) jointly from ETH Zurich, and a B.A.Sc. in Engineering Physics from the University of British Columbia. -
Jennifer A McNab
Associate Professor (Research) of Radiology (Radiological Sciences Laboratory)
Current Research and Scholarly InterestsMy research is focused on developing magnetic resonance imaging (MRI) methods that probe brain tissue microstructure. This requires new MRI contrast mechanisms, strategic encoding and reconstruction schemes, physiological monitoring, brain tissue modeling and validation. Applications of these methods include neuronavigation, neurosurgical planning and the development of improved biomarkers for brain development, degeneration, disease and injury.
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Robert Mindelzun
Professor of Radiology at the Stanford University Medical Center, Emeritus
Current Research and Scholarly InterestsAbdominal imaging,
Anatomy.
Mesenteries,
Peritoneum,
Omentum,
Pancreatic anatomy
Embryology.
Third World diseases.
Abdominal trauma. -
Gabriel Mistelbauer
Senior Research Engineer, Rad/Cardiovascular Imaging
BioGabriel Mistelbauer is a senior research engineer in the Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA, since 2022. Previously, he was a research associate at the Otto-von-Guericke University Magdeburg, Germany (2016-2022) and a postdoctoral researcher at TU Wien, Austria (2013-2016). He received a PhD in Computer Science, in the field of Medical Visualization, in 2013 at TU Wien, Austria, and the habilitation (venia legendi) in Computer Visualization (Computervisualistik) in 2024 at Otto-von-Guericke University Magdeburg, Germany. His research focuses on visual computing and image processing in medicine, in particular on the analysis of vascular structures.
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Mahati Mokkarala
Assistant Professor of Radiology (Body Imaging)
Current Research and Scholarly InterestsMy research focus as a new attending will be on evaluating and implementing new technology in the radiology workplace including how technology can benefit private practice and academic radiologists.
This research focus is based on my current and previous research projects and interests. As an abdominal imaging fellow at the University of Pennsylvania, I worked on projects understanding how to apply spectral CT data in a clinical and research setting. Current projects include determining if spectral CT data can quantify normal organ characteristics. Understanding the age-old question of ‘what is normal’ is essential for determining if spectral CT data can help radiologists identify and characterize pathology.
Other previous research projects with interventional and diagnostic radiology colleagues at MIR include improving and evaluating the efficacy of multiple embolization agents. Additional diagnostic radiology projects as a resident included optimizing artificial intelligence programs that streamline radiology critical action items and better characterize glioblastoma imaging patterns. All projects had a common theme, focusing on implementing technology that could benefit both clinical and radiology practice and making sure that these tools would be useful for radiologists and other specialists. Radiology is unique because of how essential imaging interpretation is for modern medicine. An academic radiologist should be the leader in both developing and successfully integrating technology in the clinical world. -
Michael Moseley
Professor of Radiology (Radiological Sciences Lab)
Current Research and Scholarly InterestsMR physics into tissue contrast mechanisms such as diffusion, perfusion, and functional imaging describes the research direction. Applications of cerebral stroke (brain attacks) and neurocognitive disorders are also being developed from these methods
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Peter S. Moskowitz, M.D.
Clinical Professor Emeritus (Active), Radiology - Pediatric Radiology
Current Research and Scholarly InterestsPediatric diagnostic imaging, stress and burnout prevention, physician career transitions, life planning for physicians and physicians in training, the disruptive physician, job search strategies for physicians in training
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Julie Muccini, MS, OTR/L
Research Engineer, Rad/Musculoskeletal Imaging
BioJulie Muccini is an occupational therapist who has spent most of her clinical career working with individuals with neurological diagnoses. She is registered and licensed in California and is a member of the American Occupational Therapy Association (AOTA) and the Occupational Therapy Association of California (OTAC). She is actively involved in research working with individuals post-stroke, neuromuscular diseases, and osteoarthritis; additional work includes assessing shoulder movements, sprinting, and balancing tasks; she works in the Human Performance Lab with an interdisciplinary team integrating biomechanics, biomedical engineering, physiology, psychology, and rehabilitation. Ms. Muccini received her bachelor of science in industrial engineering and operations research from the University of Massachusetts at Amherst and her master of science in occupational therapy from Boston University. She started working at the hospital at Stanford in 1997 and transitioned to the Outpatient Neuro Rehab Clinic at the Stanford Neurosciences Health Center in 2014. In March 2021, Julie moved to the Stanford University School of Medicine to work in the Human Performance Lab at the Arrillaga Center for Sports and Recreation, ACSR, as a Wu Tsai Human Performance Alliance member.
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Michael Muelly
Clinical Assistant Professor, Radiology
Current Research and Scholarly InterestsMachine learning in medicine
