معرفی
Li Feng, PhD, is an Associate Professor in the Department of Radiology at NYU Grossman School of Medicine, New York University, where he also serves as Director of Rapid Imaging. He earned his PhD from New York University, specializing in advanced medical imaging techniques.
His research focuses on accelerating and optimizing Magnetic Resonance Imaging (MRI) through novel computational methods. Key areas include:
- Rapid imaging protocols for abdominal and liver diagnostics
- Deep learning-based reconstruction of dynamic MRI data
- Quantitative mapping techniques for tissue characterization
- Motion-robust acquisition methods for clinical applications
Recent publications demonstrate his leadership in developing GPU-accelerated reconstruction algorithms, non-contrast-enhanced vascular imaging, and AI-driven quantitative MRI techniques applied to neurology, oncology, and metabolic disorders. His work consistently bridges technical innovation with clinical translation.
Dr. Feng leads multiple clinical trials including:
- 3D Free-Breathing Fat and Iron Corrected T1 Mapping
- Rapid Motion-Robust DCE-MRI for Liver Perfusion Quantification
- Rapid Structure-Function MRI of the Lung for Post-COVID-19 Management
