Prior Knowledge-Driven Machine Intelligence to Maximize the Potential of Low-Dose Spectral CT

Explore the potential of low-dose spectral CT through prior knowledge-driven machine intelligence in this 19-minute conference talk by Jerome Liang from Stony Brook University. Delivered at the Deep Reconstruction Workshop at Yale University on March 25, 2023, the presentation delves into innovative approaches for maximizing the capabilities of spectral CT imaging while minimizing radiation exposure. Learn about cutting-edge techniques that leverage machine learning and prior knowledge to enhance image quality and diagnostic accuracy in low-dose settings, potentially revolutionizing the field of medical imaging.

Prior Knowledge-driven Machine Intelligence to Maximize the Potential of Low-dose Spectral CT