Radiology
Showing 551-600 of 661 Results
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Daniel Sze, MD, PhD
Professor of Radiology (Interventional Radiology), Emeritus
Current Research and Scholarly InterestsTransarterial administration of chemotherapeutics, radioactive microspheres, and biologics for the treatment of unresectable tumors; management of portal hypertension and complications of cirrhosis (TIPS); treatment of complications of organ transplantation; Venous and pulmonary arterial thrombolysis and reconstruction; Stent and Stent-graft treatment of peripheral vascular diseases, aneurysms, aortic dissections
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Sindy Tang
Associate Professor of Mechanical Engineering, Senior Fellow at the Woods Institute for the Environment and Professor, by courtesy, of Radiology and of Bioengineering
Current Research and Scholarly InterestsProf. Sindy K.Y. Tang develops engineering platforms that measure biological systems and convert these measurements into quantitative datasets. Her research focuses on experimental systems that probe biological processes across cellular and tissue scales, particularly how physical context—geometry, mechanics, and spatial organization—shapes biological function. Current work spans immune diagnostics, spatial tissue sampling for multi-omics analysis, and single-cell perturbation studies.
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Nicholas Telischak, MD, MS
Clinical Associate Professor, Radiology
Clinical Associate Professor (By courtesy), NeurosurgeryBioA native of the Bay Area, Dr. Nick Telischak is a dual fellowship-trained neurointerventional surgeon and neuroradiologist at Stanford Health Care. With board certifications in radiology and neuroradiology, he serves as a clinical associate professor in the Department of Radiology, and, by courtesy of the Department of Neurosurgery, at Stanford School of Medicine.
Dr. Telischak specializes in diagnosing and treating artery disorders in the brain and spine, including brain aneurysms, arteriovenous malformations (AVM), and dural arteriovenous fistula (dAVF), and stroke. Dr. Telischak also specializes in venous disorders in the brain including idiopathic intracranial hypertension (IIH). He also has a special interest in pulsatile tinnitus, a whooshing sound in the ears that occurs in rhythm with the heartbeat. Dr. Telischak also treats painful spinal (vertebral) fractures, spinal metastases (tumors resulting from cancer elsewhere in the body), and congenital vascular malformations (blood vessel abnormalities that are present at birth). He treats these conditions using minimally invasive, image-guided procedures and state-of-the-art technology.
Prior to joining Stanford Health Care, Dr. Telischak helped develop the Stroke Program at California Pacific Medical Center and Mills-Peninsula Medical Center, giving him a broad perspective on medical care systems within the Bay Area.
Dr. Telischak’s research focuses on:
• Identifying biomarkers to diagnose large vessel occlusion stroke (stroke in one of the large arteries in the brain)
• Noninvasive MRI techniques for diagnosing idiopathic intracranial hypertension (high pressure within the skull)
He is also the principal investigator for a study examining the efficacy of vertebroplasty and kyphoplasty for the treatment of painful vertebral compression fractures.
In addition, Dr. Telischak holds a master’s degree in bioengineering. He has worked with several companies pioneering new devices to treat brain aneurysms, vascular malformations, and strokes caused by blood clots, as well as new treatments for venous disorders in the brain caused by idiopathic intracranial hypertension.
Dr. Telischak has published more than 20 peer-reviewed articles and has been invited to present locally, nationally, and internationally at meetings for the Society of NeuroInterventional Surgery, American Society of Neuroradiology, and Jornada de Stroke in Asuncion, Paraguay, where he has served as visiting faculty. -
Avnesh Thakor
Professor of Radiology (Pediatric Radiology)
Current Research and Scholarly InterestsInterventional Radiologists can access almost any part of the human body without the need for conventional open surgical techniques. As such, they are poised to change the way patients can be treated, given they can locally deliver drug, gene, cell and cell-free therapies directly to affected organs using image-guided endovascular, percutaneous, endoluminal, and even using device implantation approaches
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Simon Thalén
Postdoctoral Scholar, Radiological Sciences Laboratory
BioI am a clinical physiology resident at Karolinska University Hospital and completed my thesis on cardiovascular magnetic resonance imaging (MRI). With a background in mathematics, I am trying to live at the intersection of mathematics, technology, and medicine. My thesis focused on MRI evaluation of constrictive heart diseases, such as pericardial effusion and constrictive pericarditis. I used phase contrast MRI to measure respiratory variation in mitral and tricuspid peak early blood flow velocities and T1 mapping to characterize pericardial effusion fluid.
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Amy Thomas
Visual Designer, Rad/Radiology Finance and Administration
BioI'm a passionate designer with 19 years of experience in interface, print, and web design. I love to make things look, work, and act more efficiently. Some might call it compulsion...I like to call it passion. My mind and heart are always open to challenging design problems. I thrive on finding innovative solutions to complex situations.
I started my professional career as a Visual Designer at IBM for the Storage Systems Group. My work at IBM involved close interaction with our user experience designers. The team I was on developed a software interface to help facilitate storage administrators in monitoring their storage subsystems. We created an interface that allowed the admin to see storage system status at a glance using a drill down table as well as custom built icons. The work our team completed earned several US Patents.
In March 2008, I began my career at Stanford University School of Medicine. I started as a Temporary Visual Arts Specialist. In November 2010 I was hired on full time as the Web & Graphic Designer for the Department of Radiology. My work at Stanford is very gratifying. I never expected, as an artist, to have my work matter in a way that could help other people. With each new project, I am (in a small way) contributing to the research and development of new and innovative treatments for many of the most damaging diseases. My art helps the great minds of our department explain their thinking, their research, and their findings to others in their field. -
Matheus Tonholo Ikedo
Postdoctoral Scholar, Radiology
BioMatheus Tonholo Ikedo is a Postdoctoral Research Fellow at Stanford University’s Department of Radiology, where he conducts research under the guidance of Dr. Bruno P. Soares. His academic interests lie at the intersection of pediatric neuroradiology and artificial intelligence, specifically focusing on how AI-driven tools can optimize magnetic resonance imaging (MRI) diagnostics and improve healthcare delivery for neuropediatric patients.
A Brazilian-trained physician, Matheus earned his medical degree from the Federal University of São Paulo (UNIFESP) and completed his Radiology residency at the University of São Paulo (USP), where he was recognized with the Guerbet-InRad Best Resident Award in his final year. -
Emily B. Tsai
Clinical Associate Professor, Radiology
Current Research and Scholarly InterestsLung cancer screening
Clinical applications of machine learning
Comparative effectiveness research
Image-guided biopsy and intervention -
Amanda Tun
Affiliate, Radiology - Diagnostic Radiology
BioAmanda Tun is a clinical research coordinator for the Department of Radiology at the Veterans Administration Palo Alto Health Care System (VAPAHCS) and Stanford University School of Medicine. Currently, she oversees multiple clinical trials, specifically biobanking for lung cancer screenings receiving low dose helical computed tomography scans and cardiac magnetic resonance imaging, and assists in the establishment of a radiology research center at VAPAHCS. She also collaborates with the VAPAHCS's Cardiology research team on several projects to compile cardiovascular and other prognostic parameters into databases for research purposes.
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Henk van Voorst
Postdoctoral Scholar, Radiology
BioDr. van Voorst is a postdoctoral scholar in Radiology studying the interfaces of artificial intelligence and neuroradiological imaging in stroke. Originally educated as an MD, Dr. van Voorst gained additional degrees in Finance and Data Science. As a PhD student, Dr. van Voorst focused on cost-effectiveness modeling and developed machine learning and deep learning algorithms with applications in acute ischemic stroke imaging. In his current research, Dr. van Voorst develops artificial intelligence algorithms to automatically extract information from arteries and veins in radiological stroke imaging.
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Minal Vasanawala
Clinical Associate Professor (Affiliated), Rad/Nuclear Medicine
Staff, Radiology - Diagnostic RadiologyCurrent Research and Scholarly InterestsPET/MRI, PETCT, and SPECT/CT applications in neuroimaging
Cardiac SPECT/CT and PET/CTA -
Shreyas Vasanawala, MD/PhD
William R. Brody Professor of Pediatric Radiology and Child Health
Current Research and Scholarly InterestsOur group is focused on developing new fast and quantitative MRI techniques.
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Manuela Vasquez
Administrative Associate, Radiology
BioAs an Administrative Associate, I am dedicated to keeping scientists organized, prioritized and less stressed. I practice a streamlined and intuitive approach to assistance.
I am open-arms to opportunities that will broaden my horizon. A team player, willing to lead or follow, eager to learn and is self-motivated. Committed to excellence in service.
My philosophy centers around what role I can play in helping others find solutions. Enthusiastic and personable, my passion is to contribute, support, and make a difference. -
Jaqueline Velazquez
Senior Administrative Associate, Radiology
Current Role at StanfordSupporting RSL Faculty:
Dr. Ennis, PhD
Dr. Setsompop, PhD
Dr. McNab, PhD -
Alexander Michael Vezeridis, MD, PhD
Assistant Professor of Radiology (Interventional Radiology)
BioAlexander Vezeridis MD, PhD is an Assistant Professor of Radiology at Stanford University School of Medicine, and a physician-scientist specializing in Interventional Radiology. His clinical expertise includes interventional oncology, biliary disease and endoscopy, venous disease, portal hypertension, urologic interventions, women’s and men’s health interventions, and general vascular/interventional radiology.
Dr. Vezeridis is an active researcher with expertise in translational techniques in engineering to make image-guided interventions safer and more effective for patients.
Dr. Vezeridis obtained his undergraduate, MD, and PhD degrees from Boston University. He completed a two year post-doctoral training at UC San Diego in ultrasound molecular imaging under the auspices of the Cancer Researchers in Nanotechnology (CRIN) R25T, followed by residency and fellowship at UC San Diego.
Dr. Vezeridis is highly committed to training the next generation, including students, residents, fellows, and engineering graduate students through co-directing Bio301B.
Dr. Vezeridis has a strong interest in medical device development and commercialization, and completed the Stanford Biodesign Faculty Fellowship. -
Davis Vigneault
Clinical Scholar, Radiology
Fellow in Rad/Cardiovascular ImagingBioDr. Vigneault is a fellow in cardiovascular imaging at Stanford, where he also completed his residency (including a year as chief resident) in diagnostic radiology. Previously, he received his medical degree from Tufts University School of Medicine and his DPhil in Biomedical Engineering from the University of Oxford through the NIH-Oxford Scholars and Medical Scientist Training Programs. For his graduate degree, Dr. Vigneault worked on novel algorithms for measuring regional cardiac function from cardiac CT and MR, publishing in Radiology, Medical Image Analysis, and the Journal of Cardiovascular Magnetic Resonance, among others. In addition to cardiovascular imaging and deep learning, Dr. Vigneault has a strong interest in open science, having been a frequent contributor of software to large open-source libraries such as ITK and related packages.
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Shannon Walters
Executive Technical Director, Radiology - Diagnostic Radiology
Current Role at StanfordI consider myself an innovation enabler and workflow optimization enthusiast. At Stanford 3D and Quantitative Imaging Lab, I work closely with healthcare providers, researchers, and educators to enable effective health visualization. Recent innovations are of particular interest to me; such as 3D Printing, immersive volumetric visualization, clinical implementation of validated AI algorithms, and the general concept of reporting concise changes over time.
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Adam Wang
Assistant Professor of Radiology (Radiological Sciences Laboratory) and, by courtesy, of Electrical Engineering
BioMy research group develops technologies for advanced x-ray and CT imaging, including artificial intelligence for CT acquisition, reconstruction, and image processing; spectral imaging, including photon counting CT (PCCT) and dual-layer flat-panel detectors; novel system and detector designs; and their applications in diagnostic imaging and image-guided procedures. I am also the Director of the Photon Counting CT Lab, Zeego Lab, and Tabletop X-Ray Lab.
I completed my PhD in Electrical Engineering at Stanford, developing strategies for maximizing the information content of dual energy CT and photon counting detectors. I then pursued a postdoctoral fellowship at Johns Hopkins in the I-STAR Lab, developing reconstruction and registration methods for x-ray based image-guided surgery. I was then a Senior Scientist at Varian Medical Systems, developing x-ray/CT methods for image-guided radiation therapy, before returning to Stanford in 2018, where I now lead a comprehensive research program in advanced x-ray and CT imaging systems and methods, with funding from NIH, DOD, DOE, and industry partners. -
Chong Wang
Postdoctoral Scholar, Radiology
BioI am currently a Postdoctoral Scholar in the Department of Radiology at Stanford University School of Medicine, affiliated with the Center for Artificial Intelligence in Medicine and Imaging (AIMI). My research mainly focuses on AI and foundation models in healthcare, with an emphasis on developing trustworthy, robust, and efficient AI solutions for medical imaging. I earned my Ph.D degree, honored with the Doctoral Research Medal, in Computer Science from the Australian Institute for Machine Learning (AIML), The University of Adelaide.
