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Found 4 papers, 2 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.
Physics-Guided Neural Networks for Intraventricular Vector Flow Mapping
Intraventricular vector flow mapping (iVFM) seeks to enhance and quantify color Doppler in cardiac imaging.
Phase Unwrapping of Color Doppler Echocardiography using Deep Learning
Color Doppler echocardiography is a widely used non-invasive imaging modality that provides real-time information about the intracardiac blood flow.
Extraction of volumetric indices from echocardiography: which deep learning solution for clinical use?
Deep learning-based methods have spearheaded the automatic analysis of echocardiographic images, taking advantage of the publication of multiple open access datasets annotated by experts (CAMUS being one of the largest public databases).
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