Scott Hsieh

Deep learning-based image reconstruction and noise reduction (DLR) techniques are increasingly adopted in clinical CT to improve image quality at reduced radiation doses. While prior studies have demonstrated benefits for lesion detection, DLR performance in...

Neural networks have recently been demonstrated that convert single-energy CT images into dual-energy CT images. It seems at first that this “dual-energy conversion” is only possible using image priors: one might assert that if a neural network is shown a pha...

Diagnostic and Interventional Radiology Physics