Radiology
Showing 501-600 of 661 Results
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George Segall
Professor of Radiology, Emeritus
Current Research and Scholarly InterestsScintigraphic evaluation of coronary blood flow and myocardial function using single photon emission computed tomography (SPECT) and positron emission tomography (PET). Tumor imaging and characterization of pulmonary nodules with PET/CT.
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Kawin Setsompop
Professor of Radiology (Radiological Sciences Laboratory) and, by courtesy, of Electrical Engineering
BioKawin Setsompop is a Professor of Radiology and, by courtesy, of Electrical Engineering. His research focuses on the development of novel MRI acquisition methods, with the goal of creating imaging technologies that can be used to help better understand brain structure and function for applications in Healthcare and Health sciences. He received his Master’s degree in Engineering Science from Oxford University and his PhD in Electrical Engineering and Computer Science from MIT. Prior to joining Stanford, he was a postdoctoral fellow and subsequently a faculty at the A.A. Martinos center for biomedical imaging, MGH, as well as part of the Harvard and MIT faculty. His group has pioneered several widely-used MRI acquisition technologies, a number of which have been successfully translated into FDA-approved clinical products on Siemens, GE, Phillips, United Imaging and Bruker MRI scanners worldwide. These technologies are being used daily to study the brain in both clinical and neuroscientific fields.
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Shailja
Postdoctoral Scholar, Radiological Sciences Laboratory
BioShailja is an engineer and computational scientist interested in the modeling of the human brain to study neurological diseases and guide neurosurgeries. As a Wu Tsai Neuroscience Institute’s postdoctoral fellow with Prof. Jennifer A. McNab and Prof. Josef Parvizi, she investigates tractography-based neurosurgical targeting. She is interested in mapping the whole brain structural connectivity network from diffusion MRI to functional connectivity in the human brain. Shailja received her PhD in Electrical and Computer Engineering from the University of California, Santa Barbara and BS from Electrical Engineering Department, Indian Institute of Technology, Kharagpur. Her doctoral research is on Reeb graphs for modeling white matter fibers in the human brain, which was awarded the Winifred and Louis Lancaster Best PhD Dissertation at UC Santa Barbara.
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Richard Shan
Affiliate, Rad/Integrative Biomedical Imaging Informatics at Stanford
BioRichard Shan is an AI researcher focused on mechanistic interpretability and retrieval-augmented generation. His work centers on building pipelines to evaluate and optimize reasoning in large language models, including novel architectures for feature identification and correctness evaluation. He develops applied systems that combine AI with linguistics, such as a modular refreshable Braille device and computational methods for reconstructing ancient languages. Outside of technical work, Richard enjoys playing frisbee.
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Luyao Shen, MD
Clinical Associate Professor, Radiology
Current Research and Scholarly InterestsGU and Gyn clinical imaging
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Vipul Sheth, MD, PhD
Assistant Professor of Radiology (Body MRI)
Current Research and Scholarly InterestsMy interests are in the development and translation of imaging technologies geared toward disease detection and characterization to better guide prognosis, treatment, and improve outcomes. I’m interested in supporting the development of MRI guided focal therapy methods which can personalize treatment and reduce the risk of morbidity from more invasive therapies.
Clinical Interests
- MRI for diagnosis of pelvic floor disorders
- MRI and PET/MRI to pelvic malignancies and lymph node staging.
- Whole Body MRI
- MRI guided procedures including biopsies, cryoablation, and high intensity focused ultrasound.
Translational Research Interests
- Development and translation of magnetic resonance imaging technologies to improve both diagnostics and therapeutics
- Molecular imaging and characterization of the tumor microenvironment
- Ultrashort echo time MRI applications in the body
- Developing synergistic MRI methods to complement PET in potential applications for PET/MRI -
Linxi Shi
Sr Res Scientist-Physical, Rad/Radiological Sciences Laboratory
BioI am a medical physicist and imaging scientist with over a decade of experience in CT imaging, algorithm development, and AI-driven reconstruction. I earned my Ph.D. in Medical Physics from the Georgia Institute of Technology, where I developed novel artifact corrections and reconstruction algorithms for cone beam computed tomography, focusing on applications in breast cancer diagnosis and image-guided radiation therapy.
Following my doctoral studies, I completed a postdoctoral fellowship with the Stanford Cancer Imaging Training (SCIT) Program. Currently, I serves as a Senior Research Scientist in the Radiological Sciences Laboratory at Stanford University. My research focuses on developing advanced clinical translational x-ray and CT imaging systems, including algorithm design for tomographic reconstruction, artifact correction, and image processing for various imaging modalities. -
Zahra Shokri Varniab
Postdoctoral Scholar, Radiology
BioZahra Shokri Varniab, MD, studied medicine at Tehran University of Medicine Sciences, Iran, and earned her medical degree in 2021. Her goal in novel cellular and molecular imaging is to develop novel in vivo imaging approaches to visualize, characterize and quantify molecular and cellular processes involved in developing brain tumors. She intends to utilize non-invasive imaging techniques to assess tumor microenvironment to understand their role in cancer, develop a method for determining tumor profiles, and also using brain MR Imaging to assess treatment response. She hopes cancer to be history.
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Bruno Passebon Soares, MD
Associate Professor of Radiology (Pediatric)
BioDr. Soares is an Associate Professor of Radiology at Stanford University School of Medicine and serves as the Section Chief of Pediatric Neuroradiology at Lucile Packard Children’s Hospital at Stanford since June 2023.
Born in Brazil, Dr. Bruno P. Soares obtained his medical degree from the Federal University of Rio de Janeiro and completed his residency in Diagnostic Radiology at the Federal University of Sao Paulo. After one year as a Research Fellow at the University of California San Francisco (UCSF), Dr. Soares completed clinical fellowships in Diagnostic Neuroradiology, Pediatric Radiology, and Pediatric Neuroradiology at UCSF, in addition to a clinical fellowship in PET/CT at the Dana-Farber Cancer Institute of Harvard Medical School in Boston. Dr. Soares holds a subspecialty certificate in Neuroradiology from the American Board of Radiology (ABR).
From July 2013 to July 2016, Dr. Soares was an Assistant Professor in the Division of Neuroradiology at Emory University in Atlanta. From August 2016 to November 2018, he worked at the Johns Hopkins University in Baltimore as an Assistant Professor in the Division of Pediatric Radiology and Neuroradiology. From December 2018 to May 2023, Dr. Soares worked at the University of Vermont Medical Center as Associate Professor of Radiology, Division Chief of Neuroradiology, Vice-Chair of Imaging Research, and Co-Director of the MRI Center for Biomedical Imaging.
Dr. Soares has published more than 85 peer-reviewed articles and has been the recipient of the Research Fellow Grant from the Society for Pediatric Radiology and of the Rad_Britestar Award from the Johns Hopkins Department of Radiology. The recognition for his teaching includes the 2013 Outstanding Clinical Fellow / Instructor Teaching Award from the UCSF Department of Radiology, the 2017 Teacher of Year Award from the Johns Hopkins Division of Pediatric Radiology, and the 2017 ASNR International Outreach Professor Program in Ghana.
Dr. Soares currently serves as an Editorial Board Member of Neuroradiology and of the Journal of Neuroimaging, and has served as an Editorial Board Member of the American Journal of Roentgenology (AJR) and of the American Journal of Neuroradiology (AJNR). Dr. Soares served for six years as a member of the ABR Neuroradiology Core Exam Committee, receiving ABR Volunteer Service Awards in 2022 and 2024.
His research has focused on neonatal and pediatric brain imaging. He is currently focused on developing semi-automated algorithms to quantify normal and abnormal brain development, and applying deep learning algorithms for detection of subtle cerebral abnormalities in children with epilepsy. -
Hyongsok Tom Soh
W. M. Keck Foundation Professor of Electrical Engineering, Professor of Radiology (Diagnostic Sciences Laboratory) and of Bioengineering
On Partial Leave from 04/01/2026 To 06/30/2026BioDr. Soh received his B.S. with a double major in Mechanical Engineering and Materials Science with Distinction from Cornell University and his Ph.D. in Electrical Engineering from Stanford University. From 1999 to 2003, Dr. Soh served as the technical manager of MEMS Device Research Group at Bell Laboratories and Agere Systems. He was a faculty member at UCSB before joining Stanford in 2015. His current research interests are in analytical biotechnology, especially in high-throughput screening, directed evolution, and integrated biosensors.
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Hong Song, MD, PhD
Assistant Professor of Radiology (Nuclear Medicine)
BioHong Song received his MD from Tulane University School of Medicine and a Ph.D. in Chemical Engineering from Tulane University. He performed research in targeted radionuclide therapy as a postdoctoral fellow at the Johns Hopkins University. Following medical school, he joined Dual pathway Nuclear Medicine and Diagnostic Radiology residency at Stanford. His current research interests include PSMA PET in biochemically recurrent prostate cancer and DOTATATE PET in PRRT for neuroendocrine tumors.
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Geoffrey Sonn
Associate Professor of Urology and, by courtesy, of Radiology (Body MRI)
Current Research and Scholarly InterestsMy interest is in improving prostate cancer diagnosis through MRI and image-targeted prostate biopsy. In collaboration with radiologists at Stanford, we are working to define the optimal role of MRI in prostate cancer. We hope to improve cancer imaging to the point that some men with elevated PSA may safely avoid prostate biopsy. For those who need biopsy, we are evaluating novel MRI-US fusion targeted biopsy, a technique that greatly improves upon the conventional biopsy method.
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Daniel Spielman
Professor of Radiology (Radiological Sciences Lab) and, by courtesy, of Electrical Engineering
Current Research and Scholarly InterestsMy research interests are in the field of medical imaging, particularly magnetic resonance imaging and in vivo spectroscopy. Current projects include MRI and MRS at high magnetic fields and metabolic imaging using hyperpolarized 13C-labeled MRS.
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Kate Stevens
Professor of Radiology (Musculoskeletal Imaging)
Current Research and Scholarly InterestsSports medicine - imaging of sports injuries in athletes and ultrasound-guided therapy.
Clinical applications of new MRI pulse sequences.
Metal suppression MRI around orthopedic implants.
Imaging and guided therapy in rheumatology. -
Liyan Sun
Postdoctoral Scholar, Radiological Sciences Laboratory
Current Research and Scholarly InterestsPhysics-driven deep learning algorithms for MRI/CT reconstruction and analysis:
(1) MRI acceleration with partial measurements.
(2) Medical image segmentation under limited data resources.
(3) Unsupervised/supervised medical image synthesis for MRI or CT.
(4) Longitudinal medical data analysis with deep learning models.
(5) PET image reconstruction and analysis. -
Ali Bin Syed
Clinical Associate Professor, Radiology - Pediatric Radiology
BioDr. Syed is a member of the divisions of Pediatric Radiology and Body MRI and serves as the Medical Director of Pediatric MRI at Stanford. Dr. Syed has received subspecialty training in adult body imaging, pediatric body imaging, congenital cardiac imaging, and musculoskeletal imaging. His clinical interests include MR imaging of pediatric and adult hepatobiliary disorders, inflammatory bowel disease, gynecologic pathology, and congenital heart disease. He is also an active researcher and works with engineers and scientists to translate technical innovations in MRI into improved patient care. His recent work focuses on translation of machine learning techniques for rapid, robust MRI in children and adults.
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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.
