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Found 5 papers, 0 papers with code
A deep learning approach to using wearable seismocardiography (SCG) for diagnosing aortic valve stenosis and predicting aortic hemodynamics obtained by 4D flow MRI
We also investigated the ability of this deep learning technique to differentiate between patients diagnosed with aortic valve stenosis (AS), non-AS patients with a bicuspid aortic valve (BAV), non-AS patients with a mechanical aortic valve (MAV), and healthy subjects with a normal tricuspid aortic valve (TAV).
Least Squares Optimal Density Compensation for the Gridding Non-uniform Discrete Fourier Transform
The Gridding algorithm has shown great utility for reconstructing images from non-uniformly spaced samples in the Fourier domain in several imaging modalities.
Multi-coil Magnetic Resonance Imaging with Compressed Sensing Using Physically Motivated Regularization
In this manuscript, we present a generalization of several existing iterative model based algorithms.
Fast Variable Density Poisson-Disc Sample Generation with Directional Variation
We present a fast method for generating random samples according to a variable density Poisson-disc distribution.
Utilizing the Wavelet Transform's Structure in Compressed Sensing
In this work, we take advantage of the structure of this wavelet transform and identify an affine transformation that increases the sparsity of the result.
