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Found 4 papers, 1 papers with code
Implicit neural representations for unsupervised super-resolution and denoising of 4D flow MRI
4D flow MRI is a non-invasive imaging method that can measure blood flow velocities over time.
A Deep Learning-Based and Fully Automated Pipeline for Regurgitant Mitral Valve Anatomy Analysis from 3D Echocardiography
The trained 3D CNN achieved an average Dice score of 0. 79 and MSD of 0. 47 mm for the combined segmentation of the annulus, anterior and posterior leaflet.
A CT-based deep learning system for automatic assessment of aortic root morphology for TAVI planning
Automatic measurements were in good agreement with manual annotations, yielding annulus diameters that differed by 0. 52 [-2. 96, 4. 00] mm (bias and 95% limits of agreement for manual minus algorithm).
Data-driven generation of 4D velocity profiles in the aneurysmal ascending aorta
We built a data-driven generative model of 4D aortic velocity profiles, suitable to be used in computational studies of blood flow.
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