School of Medicine
Showing 621-640 of 671 Results
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Kenneth Weber, DC, PhD
Assistant Professor (Research) of Anesthesiology, Perioperative and Pain Medicine (Adult Pain) and, by courtesy, of Neurosurgery (Adult Neurosurgery) and of Radiology (Neuroimaging and Neurointervention)
BioDr. Weber directs the Neuromuscular Insight Lab. Dr. Weber's research seeks to develop quantitative markers of sensory and motor function, including pain, using machine-learning and advanced brain, spinal cord, and musculoskeletal magnetic resonance imaging. Dr. Weber aims to use these techniques to better understand the neuropathology of neurological and musculoskeletal conditions and discover more effective treatments and preventative strategies.
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Philipp Wesp
Postdoctoral Scholar, Radiology
BioI am a postdoctoral researcher investigating interpretable machine learning (ML) and large language model (LLM) applications in clinical radiology. My current research focuses on two complementary areas: understanding what human-interpretable concepts self-supervised vision foundation models learn through mechanistic interpretability techniques like sparse autoencoders, and developing LLM-based systems, including agentic workflows and retrieval augmented generation (RAG) architectures, that leverage unstructured hospital data to improve radiological workflows. I earned my PhD from LMU Munich, where I focused on clinically motivated machine learning applications in medical imaging in the Department of Radiology.
My work is partially funded by a Walter Benjamin Fellowship from the DFG (German Research Foundation). -
McKenzie White
Postdoctoral Scholar, Radiology
BioI work at the intersection of machine learning, medical imaging, and biomechanics. I'm committed to developing tools that bridge gaps between computational methods, musculoskeletal research, and clinical care - enabling more precise analyses, efficient workflows, and improved surgical decision-making.
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Wesley Williams
Postdoctoral Scholar, Radiology
Current Research and Scholarly InterestsFirstly, a goal of mine is to fashion a novel scatter-based parameter for PET reconstruction algorithms to improve image resolution via determining a more detailed scatter/true ratio estimate via binning the photons that have scattered once, twice, and perhaps, many more times.
Secondly, AI drug discovery application towards radiotracers may quicken experimentation by determining the formulations worth trying. Moreover, it may be able to characterize efficacy (biodistribution) (self-update). -
Joseph C. Wu, MD, PhD
Director, Stanford Cardiovascular Institute, Simon H. Stertzer, MD, Professor and Professor of Radiology
Current Research and Scholarly InterestsDrug discovery, drug screening, and disease modeling using iPSC.
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Rebecca Wu
Clinical Assistant Professor, Radiology - Rad/Nuclear Medicine
BioDr. Rebecca Wu is a Clinical Assistant Professor in the Department of Radiology, Division of Nuclear Medicine and Molecular Imaging, at Stanford Health Care Tri-Valley. She completed her medical education at Boston University School of Medicine followed by an internship at Steward Carney Hospital in Dorchester, MA. She went on to complete her residency training in Diagnostic Radiology at NYU Langone Hospital – Long Island in Mineola, NY, followed by a fellowship year in Nuclear Medicine at UCSF Medical Center. Dr. Wu is board-certified in both Diagnostic Radiology and Nuclear Medicine. Her clinical interests include oncologic imaging and its contributions to multidisciplinary cancer care, radionuclide therapies, and community medicine.
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Wanat Wudhikulprapan
Affiliate, Rad/Musculoskeletal Imaging
BioDr. Wanat Wudhikulprapan is an attending radiologist and instructor/ lecturer in the Department of Radiology at Chiang Mai University, Chiang Mai, Thailand. He earned his MD from Chulalongkorn University, completed diagnostic radiology residency training (2022), and pursued a research fellowship in musculoskeletal imaging at the Department of Radiology, Stanford University (2025–2026). His clinical and research interests center on musculoskeletal MRI, with a focus on dynamic and functional imaging techniques, quantitative assessment, bone marrow disease and MSK infection, and deep learning–enabled image analysis to advance diagnostic precision.
Dr. Wudhikulprapan is a member of the Royal College of Radiologists of Thailand (RCRT), ISMRM, and International Skeletal Society
Education
Research Fellowship: Musculoskeletal Imaging — Stanford University, Department of Radiology, Stanford, CA (2025–2026)
Clinical fellowship: Body Imaging — Chiang Mai University (class of 2022)
Residency: Diagnostic Radiology — Ramathibodi Hospital ,Mahidol University (class of 2020)
Medical education (MD): Chulalongkorn University, Bangkok, 2016
Publications
- Patellofemoral instability: Anatomy, imaging techniques, and clinically relevant measurements
- Diagnosing osteomyelitis in diabetic foot by diffusion-weighted imaging and dynamic contrast material-enhanced magnetic resonance imaging: a systematic review and meta-analysis
- Iron overload and programmed bone marrow cell death: Potential mechanistic insights
- Can conventional magnetic resonance imaging at presentation predict chemoresistance in osteosarcoma? -
Zhen Xiao
Postdoctoral Scholar, Molecular Imaging Program at Stanford
Current Research and Scholarly InterestsApplying magnetic nanomaterials for bioimaging and cancer treatment
