Radiology
Showing 601-620 of 661 Results
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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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Sen Wang
Instructor, Radiology
BioDr. Wang is a research scientist in the Wang group. He previously completed his postdoctoral fellowship in the Wang group and his BS and PhD in the Department of Engineering Physics at Tsinghua University. Sen's research interests focus on technologies and methods for image processing, reconstruction, and recognition, especially in the medical field. His PhD work investigated reconstruction algorithms and applications of x-ray spectral imaging, including photon counting detector modeling and correction, as well as quantitative imaging and computer vision with deep learning on x-ray images and other medical images.
At Stanford, Dr. Wang works on advanced CT detector designs and imaging algorithms. -
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)
On Partial Leave from 04/01/2026 To 06/30/2026Current 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 Edge AI, biosensors, information storage and spintronics. His research and inventions span across a variety of areas including Edge AI, magnetic biochips, in vitro diagnostics, cancer biomarkers, magnetic nanoparticles, magnetic sensors, magnetoresistive random access memory, and magnetic integrated inductors.
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Ronald D. Watkins
Senior Research Engineer, Rad/Radiological Sciences Laboratory
Current Role at StanfordMy current position is Senior Research Associate in the Radiological Sciences Laboratory and the Molecular Imaging Laboratory in the Department of Radiology at Stanford School of Medicine. I provide hardware, systems, and general technical support for a large group of Faculty members and many students and post docs in the development of advanced medical imaging, metabolic imaging and image-guided interventions. My training background is primarily in RF and electrical engineering. I have spent more than 25 years in the commercial diagnostic imaging industry. Most of the projects I am currently working on involve instrumentation for metabolic imaging using magnetic deuterium imaging. I am also involved in the development of Hybrid systems that combine Positron Emission Tomography and Magnetic Resonance imaging. Other projects I am involved in use focused ultrasound for neuro-stimulation or drug delivery via blood brain barrier. I also provide RF coil design and support for small animal imaging and various research studies. I have ongoing collaborations with many other medical research institutes and Universities around the world. I currently have 45 issued US patents, and 100 pear reviewed publications.
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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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Rob W.
3D Biomedical Engineer, Radiology - Diagnostic Radiology
Current Role at StanfordDesigning custom surgical models and patient-specific implants for SHC and LPCH!
