Joo Ha Hwang, MD, PhD

Garry E. Gold, M.D., is a clinical radiologist and an active investigator specializing in patient-oriented research. Following completion of his Master of Science in Electrical Engineering from Stanford University in 1988, Dr. Gold earned his medical degree in 1992 from the Stanford University School of Medicine. In 1993, he began the Stanford Department of Radiology Residency Program, during which he spent two years serving as an NCI Cancer Imaging Fellow from 1995-1997 under the supervision of Dr. Albert Macovski. After board certification in Radiology, Dr. Gold became an Osteoradiology Fellow at the University of California in San Diego under Dr. Donald Resnick from 1998-1999.

Volney Van Dalsem is a clinical professor specializing in general radiology, affiliated with Stanford Health Care and Stanford Medicine. With extensive education and training from prestigious institutions, he is dedicated to providing high-quality imaging services at various locations, including Redwood City and Palo Alto. His professional background includes board certification in diagnostic radiology and a commitment to patient-centered care, as evidenced by his contributions to medical literature. The facilities associated with him are part of independent nonprofit organizations that prioritize comprehensive healthcare services while maintaining a collaborative approach with referring physicians. Generated from the website

Christopher F. Beaulieu MD, PhD, is Professor of Radiology, Associate Chair of Education, and former Chief of Musculoskeletal Imaging at Stanford University in Palo Alto, California, USA. He received his MD degree and a PhD degree in Biological Structure from the University of Washington in Seattle, WA. He was a resident and chief resident in radiology at Duke University in Durham, NC, followed by a fellowship in Body Imaging at Stanford. He was a visiting fellow in musculoskeletal imaging (MSK) at the University of California, San Diego. His research has focused on computer graphics, computer-aided diagnosis, artificial intelligence, as well as numerous technical and clinical musculoskeletal imaging and interventional projects.