VQ-Wave is a physics-driven spatio-temporal neural network that learns to extract ventilation and perfusion maps from non-contrast lung MRI by training on simulated signals with amplitude modulations, frequency drifts, and noise, showing better stability than matrix pencil decomposition in phantoms,
Fast and accurate view classification of echocardiograms using deep learning
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VQ-Wave: A physics-driven spatio-temporal deep learning approach for non-contrast-enhanced lung ventilation and perfusion MRI
VQ-Wave is a physics-driven spatio-temporal neural network that learns to extract ventilation and perfusion maps from non-contrast lung MRI by training on simulated signals with amplitude modulations, frequency drifts, and noise, showing better stability than matrix pencil decomposition in phantoms,