School of Medicine
Showing 501-600 of 648 Results
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Kawin Setsompop
Associate Professor of Radiology (Radiological Sciences Laboratory) and, by courtesy, of Electrical Engineering
BioKawin Setsompop is an Associate 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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Rajesh Shah
Clinical Associate Professor, Radiology
BioI am an interventional radiologist with a particular interest in interventional oncology. I perform a wide range of procedures including ablations of the lung, liver, kidney, bone, and other areas in the body, chemoembolization, embolization, and radioembolization of tumors, biopsies, drainages, and interventions on both the venous and arterial sides. I was the first physician to perform SIR-spheres radioembolization for metastatic tumors to the liver within the VA hospital system, and have been recognized for my teaching of trainees. I am currently the Director of Interventional Radiology and Associate Chief of Radiology at the VA Palo Alto Health Care System. My research focuses on HCC and Lung cancer, including the application of Machine Learning/AI and Radiogenomics to lung cancer identification, and improving tools to treat liver cancer. I also work on Quality in Medicine as the Councilor of the Quality and Performance Improvement Division for the Society of Interventional Radiology where we work to define quality measures, gather data via a national IR registry, and develop practice improvement tools. In this role, I have led the development and launch of the VIRTEX Registry which is the primary clinical data registry for the field of Interventional Radiology.
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Sushruta Surappa
Postdoctoral Scholar, Radiology
BioSushruta Surappa is a postdoctoral researcher at the Canary Center for Early Cancer Detection at Stanford University. His current research focuses on developing various MEMS-based tools for the separation and capture of extracellular vesicles for medical diagnostics. Sushruta received his MS (‘15) and PhD (‘21) degrees in Mechanical Engineering from Georgia Institute of Technology, where he developed a new class of nonlinear MEMS transducers with applications in wireless power transfer, sensing and energy harvesting. He is passionate about developing low-cost, miniature technologies for medical diagnostics and is a keen proponent of science communication.
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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
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 -
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 2020. 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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Walter Simson
Research Engineer, Rad/Pediatric Radiology
BioWalter received his Ph.D. in Computer Science from the Technical University of Munich in 2022, entitled "Physics-Informed Deep Learning for Advanced Ultrasound Imaging." In 2022, Walter joined the Dahl Ultrasound Research Laboratory at Stanford University. His research focuses are Ultrasound Perception and Adaptive Ultrasound Reconstruction.
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Bruno Passebon Soares, MD
Associate Professor of Radiology (Pediatric)
BioPediatric Neuroradiology Section Chief
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Hyongsok Tom Soh
Professor of Radiology (Early Detection), of Electrical Engineering, of Bioengineering and, by courtesy, of Chemical Engineering
BioDr. 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
Associate Professor of Radiology (Musculoskeletal Imaging) and, by courtesy, of Orthopaedic Surgery
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. -
Ali Bin Syed
Clinical Assistant Professor, Radiology - Pediatric Radiology
BioDr. Syed is a member of the divisions of Pediatric Radiology and Body MRI and serves as the Director of MRI for Stanford Medicine Children's Health. 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, collaborating with fellow engineers and scientists at Stanford 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)
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
On Leave from 04/01/2024 To 06/30/2024Current Research and Scholarly InterestsThe long-term goal of Dr. Tang's research program is to harness mass transport in microfluidic systems to accelerate precision medicine and material design for a future with better health and environmental sustainability.
Current research areas include: (I) Physics of droplets in microfluidic systems, (II) Interfacial mass transport and self-assembly, and (III) Applications in food allergy, single-cell wound repair, and the bottom-up construction of synthetic cell and tissues in close collaboration with clinicians and biochemists at the Stanford School of Medicine, UCSF, and University of Michigan.
For details see https://web.stanford.edu/group/tanglab/ -
Nicholas Telischak
Clinical Associate Professor, Radiology
Clinical Associate Professor (By courtesy), NeurosurgeryBioDr. Nick Telischak is a neurointerventional surgeon (neurointerventional radiologist) who specializes in the diagnosis and treatment of stroke, brain aneurysms, brain arteriovenous malformations, brain and spinal dural arteriovenous fistulae, carotid artery stenosis, vertebral body compression fractures, spinal metastases, axial back pain, and congenital vascular malformations. Dr. Telischak treats all of these conditions using minimally-invasive, image-guided procedures and state-of-the-art technology.
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Avnesh Thakor
Associate 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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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. -
Hulya Torun
Graduate, Medicine, Radiology
BioHulya Torun is a graduate researcher at Stanford Medicine's Radiology department, specializing in Biomedical Sciences and Engineering. Her primary focus lies in pioneering Raman spectroscopy-based diagnostic technologies for the precise detection of brain tumors. With an impressive research portfolio, Hulya has made significant contributions to esteemed journals, including 'Advanced Devices & Instrumentation' and 'Small'. Notably, she has been recognized as a finalist for the Stanford Biodesign MEDTech Spectrum Grant and the recipient of the SPIE Student Travel Grant and the Society of NeuroOncology International Scholar Award, underscoring her commitment to impactful research.
Beyond her academic pursuits, Hulya actively engages in mentorship programs, notably serving as a mentor in the Stanford Canary CREST Program, supported by the National Cancer Institute (NCI), where she guides undergraduate students from diverse backgrounds. Additionally, she holds the esteemed position of Co-Chair of the Stanford University Photonics Retreat at the Stanford Optical Society, showcasing her leadership capabilities within the academic community. Her multidimensional engagement, strong research acumen, and dedication to advancing healthcare technology underscore her potential as a future leader in the realm of neuroengineering. Outside of her research endeavors, Hulya is an avid participant in professional extracurricular activities such as dancing and volleyball, reflecting her well-rounded approach to personal and professional development.
Professional Education:
- Stanford Medicine - Radiology, Visiting Graduate Student, Sep, 2022 - Present (Ph.D. Thesis Research)
- Koc University, PhD in Biomedical Sciences and Engineering, Feb, 2021 - Present
- Koc University, MSc in Biomedical Sciences and Engineering, Sep 2018 - Feb 2021
- Technical University of Berlin, Erasmus, Molecular Biotechnology, Mar 2016 - Aug 2016
- Yildiz Technical University, BSc in Bioengineering, Feb 2013 - June 2017
Key Awards & Grants:
- International Outreach Student Scholarship Award - Society for NeuroOncology (SNO), Nov 2023
- Stanford Biodesign MEDTech Spectrum Grant, Finalist, Stanford University, May 2023
- KUIMPACT Patent Award, 3rd Place, Koc University, May 2022
- SPIE Student Travel Grant, Photonics West BIOS 2022, Jan 2022
- Best Poster Presentation Award, Research Days, Koc University School of Medicine, Apr 2019
- Erasmus+ Exchange Study Scholarship, European Commission of Education, Audiovisual, and Culture Executive Agency (EACEA), Mar - Aug 2016
Executive Appointments:
- Chair of Stanford Optical Society - Stanford University Photonics Retreat (SUPR) 2024 - May 2023, Present
- Koc University Quality Board, Koc University, April 2021 -Sep 2022
- Head of Graduate Student Council, Koc University, May 2021 - Sep 2022
- Member of Board, Koc University Student Council, April 2021 - Sep 2022
- Student Representative for Graduate School of Sciences and Engineering, April 2021 - Sep 2022
- Student Representative for Dept. of Biomedical Sciences and Engineering, April 2021- Sep 2022 -
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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Muhammad Nasir Ullah
Postdoctoral Scholar, Molecular Imaging Program at Stanford
BioMuhammad Nasir Ullah has received a BS degree in Electronic Engineering from International Islamic University, Islamabad (IIUI) Pakistan in Jun 2012 and an integrated MS + Ph.D. degree in Bio-Convergence Engineering from Korea University, Seoul, South Korea under the supervision of Professor Jung-Yeol Yeom in Feb 2020. His Ph.D. thesis was focused on detector design for Nuclear Medicine (NM) system and NM-Ultrasound hybrid systems.
His area of research interest is radiation detection and measurement for medical applications. He has been working on detector design for Positron Emission Tomography (PET) system, intraoperative gamma probe detector, beta/gamma discrimination, and hybrid Ultrasound-gamma probe. He has also been working on frontend discrete circuit designs for various types of radiation and Ultrasound (US) detectors. He has published 6 peer-reviewed articles as the first author while 2 as co-author. He also has 4-patents under his name in S. Korea. -
Jeya Maria Jose Valanarasu
Postdoctoral Scholar, Radiology
BioDr. Jeya Maria Jose Valanarasu is a postdoctoral scholar working with the Stanford Machine Learning Group and the Center for Artificial Intelligence in Medicine and Imaging (AIMI Center). He leads the AI for Healthcare bootcamp with Dr. Andrew Ng, Dr. Curt Langlotz, and Dr. Nigam Shah which provides Stanford students an opportunity to engage in advanced research at the intersection of AI and healthcare.
He obtained his Ph.D. and M.S from Johns Hopkins University where he worked on various problems in Computer Vision, Machine Learning, and Healthcare. His research aims to overcome the challenges that arise when translating machine learning models to practical applications for healthcare and engineering sectors. His works have spanned over topics like designing effective deep architectures, model adaptability to changing environments, role of data and annotations, multi-modal learning and taming large models for computer vision and healthcare tasks. He has published over 25 peer-reviewed journal/conference articles at top venues and filed 3 U.S. patents. He has been awarded Amazon Research Fellowship 2022, Best Student Paper Awards at ICRA 2022, CVIP 2019, MICCAI Young Scientist Impact Award Finalist 2022, and the NIH MICCAI Award 2022. He has also served as a reviewer for multiple journals and conferences. -
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
On Partial Leave from 03/25/2024 To 04/14/2024Current 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. -
Jacqueline Velazquez
Senior Administrative Associate, Radiology
Current Role at StanfordSupporting RSL Faculty:
Dr. Ennis, PhD
Dr. Setsompop, PhD
Dr. McNab, PhD -
Ophir Vermesh
Affiliate, Dean's Office Operations - Dean Other
Resident in RadiologyCurrent Research and Scholarly InterestsMy interests lie at the interface of medicine and technology, engineering new wearable and implantable technologies for earlier cancer detection and continuous monitoring. I am particularly interested in moving promising diagnostic technologies past the proof-of-concept phase and into the clinic.
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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
Affiliate, Dean's Office Operations - Dean Other
Resident in RadiologyBioDavis is a resident in diagnostic radiology at Stanford, having 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, 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, Davis has a strong interest in open source science, having been a frequent contributor of software to ITK and other libraries in the ITK ecosystem.
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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 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. -
Jie Wang
Postdoctoral Scholar, Radiology
BioDr. Jie Wang is deeply passionate about magnetic nanotechnology, including magnetic resonance imaging (MRI), magnetic particle imaging (MPI), magnetic nanoparticles (MNPs), magnetic nanofluid hyperthermia (MNFH), magnetic biosensors, etc., for biomedical applications. His dissertation focuses on MRI-guided magnetic hyperthermia for cancer theranostics. Currently, his research interests include developing enzyme-activable nanoparticles for brain cancer theranostics and employing multi-modal imaging modalities to investigate the interaction between nanoparticles and biosystems (nano-bio interaction) within tumor microenvironment.
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Shan X. Wang
Leland T. Edwards Professor in the School of Engineering and Professor of Electrical Engineering and, by courtesy, of Radiology (Molecular Imaging Program at Stanford)
Current Research and Scholarly InterestsShan Wang was named the Leland T. Edwards Professor in the School of Engineering in 2018. He directs the Center for Magnetic Nanotechnology and is a leading expert in biosensors, information storage and spintronics. His research and inventions span across a variety of areas including magnetic biochips, in vitro diagnostics, cancer biomarkers, magnetic nanoparticles, magnetic sensors, magnetoresistive random access memory, and magnetic integrated inductors.
