School of Medicine
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Professor of Medicine (Cardiovascular) and of Radiology (Cardiovascular Imaging)
BioDr. Salerno completed his BS in Biological Engineering at Cornell University, and his MD and PhD in Biomedical Engineering at the University of Virginia as part of the Medical Scientist Training Program. He then completed the American Board of Internal Medicine Research Pathway with an Internal Medicine residency at Stanford University, and his general cardiology fellowship at Duke University Medical Center. During his time at Duke he completed a dedicated year in cardiovascular MRI at the Duke Cardiovascular MR Imaging Center. He returned to UVA in 2008 to complete a 2-year advanced cardiovascular imaging fellowship where he trained in CMR and cardiovascular CTA. He achieved COCATS Level III training in all cardiovascular imaging modalities (Echo, Nuclear, CMR, CCT), and is board certified in Echocardiography and Nuclear Cardiology. He served as faculty at UVA in Cardiology, Radiology, and Biomedical Engineering from 2010-2021 where he was the Director of Cardiac MRI and the Medical Director of Echocardiography, before returning to Stanford.
His research involves the development and evaluation of novel MRI pulse sequences and techniques to improve the clinical utility of CMR imaging. The current focus of the research is on quantitative myocardial perfusion imaging, quantitative imaging of myocardial fibrosis, rapid free-breathing and self-gated imaging, and deep learning for image reconstruction and post-processing. His laboratory includes undergraduate and graduate engineering students as well as clinical cardiovascular imaging fellows to bring new advances into clinical practice. Dr. Salerno has been in the field of MRI for 25 years and holds multiple patents related to the development and application of novel pulse sequences for MRI. He has received numerous research awards, and has published extensively in the areas of MRI, cardiovascular MRI and multi-modality cardiovascular imaging. His research has been supported by the AHA and the National Institutes of health. He is a deputy editor for JACC Cardiovascular Imaging.
Outside of work, Dr. Salerno enjoys sailing, rock climbing, skiing, running, biking, hiking, and spending time with his wife Cherie, and his two boys Christopher and Joseph.
Jesse Kerr Sandberg
Clinical Assistant Professor, Radiology - Pediatric Radiology
Current Research and Scholarly InterestsCurrent research interests include ultrasound elastography, ultrasound contrast applications, MRI sequence development, HIFU and MSK ultrasound.
Georg Alexander Schramm
Visiting Instructor/Lecturer, Radiology
BioGeorg is a visiting instructor in the lab of Fernando Boada at RSL since 2022 focussing mainly on medical image reconstruction.
He obtained in Master in Nuclear Physics from TU Dresden in Germany in 2011. His master thesis project "Analysis and Simulation of Photon Scattering and Neutron Capture
Gamma Spectra" was performed at Helmholtz-Zentrum Dresden-Rossendorf in the lab of Dr. Andreas Wagner.
In 2015, Georg completed his PhD with summa cum laude in the lab of Prof. Jörg van den Hoff at Helmholtz-Zentrum Dresden-Rossendorf / TU Dresden
where he focussed on "Evaluation and Improvement of MR-based Attenuation Correction for PET/MR".
From 2015 to 2022, Georg worked as a postdoctoral fellow in the lab of Prof. Johan Nuyts at KU Leuven, Belgium, where he mostly worked on image reconstruction problems in PET/MR and PET/CT imaging.
In the lab of Fernando Boada at RSL, Georg's research focuses on improving the reconstruction of sodium MR images.
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.
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.
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.
Luyao Shen, MD
Clinical Assistant Professor, Radiology
Current Research and Scholarly InterestsGU and Gyn clinical imaging
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.
- 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
Hyongsok Tom Soh
Professor of Radiology (Early Detection), of Electrical Engineering and, by courtesy, of Chemical Engineering and of Bioengineering
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.