2 papers
eess.IV2021
High-quality Low-dose CT Reconstruction Using Convolutional Neural Networks with Spatial and Channel Squeeze and Excitation
Jingfeng Lu, Shuo Wang, Ping Li +1
Low-dose computed tomography (CT) allows the reduction of radiation risk in clinical applications at the expense of image quality, which deteriorates the diagnosis accuracy of radi…
eess.IV2019
Reconstruction for Diverging-Wave Imaging Using Deep Convolutional Neural Networks
Jingfeng Lu, Fabien Millioz, Damien Garcia +3
In recent years, diverging-wave (DW) ultrasound imaging has become a very promising methodology for cardiovascular imaging due to its high temporal resolution. However, if they are…