In the 108th Scientific Assembly and Annual Meeting of RSNA 2022, Fang was invited to organize and host an educational session entitled “Deep Learning in MRI.” He also delivered a presentation entitled “Deep Learning Reconstruction for Improving (Accelerating) MRI and MRI-Based Tissue Quantification,” detailing fundamental MRI physics and image formulation and explaining how modern AI and deep learning can help facilitate rapid MRI.
The other two speakers include Dr. Li Feng from Icahn School of Medicine at Mount Sinai and Dr. Greg Zaharchuk from Stanford University.
