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Our expert scientists lead research in biomedical imaging using MRI, CT, PET/CT, ultrasound, bioinformatics and other developing modalities. Our high NIH funding reflects our research goals and interests in all imaging related areas.


Stanford Radiology offers innovative training for graduate students, medical students, residents, fellows, postdoctoral trainees, and visitors in all subspecialties. Our residency program is consistently ranked among the top 10 U.S. programs

News & Events

Upcoming Events

Oct October 03 Tue 2017

CME Radiology Grand Rounds

"MRI of Liver Injury - Fat, Inflammation, Fibrosis, and Beyond"

Jonathan Dillman, MD, MSc
Director, Thoracoabdominal Imaging Radiology
Department of Radiology
Cincinnati Children's Hospital Medical Center

7:30-8:30am Location TBD

Oct October 05 Thu 2017

SCIT Quarterly Seminar

"Surface-Enhanced Raman Spectroscopy for Intraoperative Brain Tumor Imaging and Photothermal Therapy"
Hamed Arami, PhD

"Quatitative Analysis of Molecular Ultrasound Data"
Hersch Sagreiya, MD

12:00-1:00pm Glazer Learning Center (Lucas Expansion, P083)

Oct October 05 Thu 2017

PHIND Seminar

"Mapping the Trajectory of Disease from Health to Illness and Back"

David Schneider, PhD

2:00-3:00pm Reception
2:00pm-3:00pm - Seminar and Discussion

Clark Auditorium

Previously Recorded Events


The School of Medicine hosted a Town Hall meeting on March 20, 2015 to share and discuss an exciting research endeavor called the “Baseline Study”. Baseline is a clinical research collaboration between Google Life Sciences, Stanford University School of Medicine, and Duke University School of Medicine to develop an integrated understanding of human health and the transition to disease. The overall goal of the Baseline Study is to develop a comprehensive understanding of health and disease state transitions for more focused preventive measures, timely and targeted preemptive interventions, and a better development of new therapeutics and diagnostics.

Dr. Gambhir's TedXStanford lecture, "Molecular Spies for Early Disease Detection"

August 3, 2012

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