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eess.IV2023
Ultrafast Cardiac Imaging Using Deep Learning For Speckle-Tracking Echocardiography
Jingfeng Lu, Fabien Millioz, François Varray +5
High-quality ultrafast ultrasound imaging is based on coherent compounding from multiple transmissions of plane waves (PW) or diverging waves (DW). However, compounding results in…
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…