School of Medicine
Showing 551-600 of 654 Results
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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. Hulya is dedicated to make significant contributions to medicine by translational research. She contributed to field by publishing some of the esteemed journals, including 'Advanced Devices & Instrumentation' and 'Small'. Notably, she has been selected as Stanford Representative for a Pediatric Brain Tumor Fellowship Application, a finalist for the Stanford Biodesign MEDTech Spectrum Grant and the recipient of the OPTICA Zuegel Scholarship, ISEV 2024 International Researcher Award, 1st place in KUIMPACT 2023 Patent Competition, Society of NeuroOncology 2023 International Scholar Award, third place in KUIMPACT 2021 Patent Competition, and SPIE Student Travel Grant 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 President of Stanford Optical Society after her former position as the Co-Chair of the Stanford University Photonics Retreat (SUPR 2024), 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, Graduate Research Scholar, Sep, 2022 - Present
- 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:
- OPTICA Zuegel Scholarship, Siegman School of Lasers, June 2024
- OPTICA Student Leadership, March 2024
- Stanford Office of Graduate Education (OGE) Biosciences Student Travel Grant, 2024
- International Researcher Award, International Society of Extracellular Vesicles (ISEV) 2024 Annual Meeting
- KUIMPACT 2023 Patent Competition Award, 1st Place, Koc University, March 2024
- International Outreach Student Scholarship Award - Society for NeuroOncology (SNO), Nov 2023
- Stanford Biodesign MEDTech Spectrum Grant, Finalist, Stanford University, May 2023
- KUIMPACT 2021 Patent Competition 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:
- President, Stanford Optical Society
- Chair, Stanford University Photonics Retreat (SUPR 2024), Stanford Optical Society - May 2023 - May 2024
- 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
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. -
Jacqueline Velazquez
Senior Administrative Associate, Radiology
Current Role at StanfordSupporting RSL Faculty:
Dr. Ennis, PhD
Dr. Setsompop, PhD
Dr. McNab, PhD -
Ophir Vermesh
Affiliate, Department Funds
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, Department Funds
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.
