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Found 3 papers, 1 papers with code
Boosting Cardiac Color Doppler Frame Rates with Deep Learning
ConvNeXt emerged as the sole model to achieve high-quality results on in vivo aliased samples.
Ultrafast Cardiac Imaging Using Deep Learning For Speckle-Tracking Echocardiography
The obtained results showed that, while using only three DWs as input, the CNN-based approach yielded an image quality and a motion accuracy equivalent to those obtained by compounding 31 DWs free of motion artifacts.
Complex Convolutional Neural Networks for Ultrafast Ultrasound Image Reconstruction from In-Phase/Quadrature Signal
In the present study, we derive the complex equivalent of this network; i. e., the Complex-valued Inception for Diverging-wave Network (CID-Net) that operates on I/Q data.
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