1 citations · 1 across the 3 of their papers we have counts for
4 papers
Boosting Cardiac Color Doppler Frame Rates with Deep Learning
Julia Puig, Denis Friboulet, Hang Jung Ling +5
Color Doppler echocardiography enables visualization of blood flow within the heart. However, the limited frame rate impedes the quantitative assessment of blood velocity throughou…
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…
Complex Convolutional Neural Networks for Ultrafast Ultrasound Image Reconstruction from In-Phase/Quadrature Signal
Jingfeng Lu, Fabien Millioz, Damien Garcia +3
Ultrafast ultrasound imaging remains an active area of interest in the ultrasound community due to its ultra-high frame rates. Recently, a wide variety of studies based on deep lea…
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…