Yang Yang

Dr. Yang Yang is an Associate Professor in the Department of Radiology and Biomedical Imaging at the University of California, San Francisco (UCSF). He joined UCSF in 2022 to lead a midfield MRI research program at China Basin, focusing on artificial intelligence (AI) applications for motion correction in dynamic imaging. Previously, he served as an Assistant Professor at the Icahn School of Medicine at Mount Sinai and an Adjunct Assistant Professor at the University of Virginia.

• Educated at Xi'an Jiaotong University (BSE, MSE in Biomedical Engineering) and the University of Virginia (PhD in Biomedical Engineering)

Dr. Yang’s research bridges biomedical engineering, MRI physics, and clinical applications. His work emphasizes:

• Developing AI-enhanced MRI sequences for organs in motion (heart, lungs)
• Advancing midfield MRI for radiation-free diagnostics in pediatrics
• Reducing scan time and claustrophobia via wider-bore scanners
• Addressing global healthcare disparities through accessible imaging

Rather than isolated breakthroughs, his 15 most recent articles (2021–2025) reveal a cohesive trend: integrating AI, non-Cartesian trajectories, and motion correction for cardiovascular imaging, interstitial lung diseases, and low-field MRI optimization. His team’s work spans dynamic organ imaging, pre-training AI models, and clinical translation for radiation safety.

Dr. Yang collaborates extensively with radiologists, cardiologists, and technologists, notably guided by Dr. David Saloner at UCSF and Dr. Michael Salerno (University of Virginia). His research directly impacts patient outcomes by eliminating radiation exposure in lung diagnostics and enabling MRI access in resource-limited regions.