U2-rPCA unfolds IRLS rPCA into an unsupervised network with a sparse-enhancement unit that is trained on part of an ultrasound sequence and applied to subsequent frames, showing CNR gains of 1.91-8.48 dB over SVD, rPCA, and supervised deep filters on in-silico and in-vivo data.
Randomized spatial downsampling-based cauchy-rpca clutter filtering for high-resolution ultrafast ultrasound microvasculature imaging and functional imaging
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Unsupervised Unfolded rPCA (U2-rPCA): Deep Interpretable Clutter Filtering for Ultrasound Microvascular Imaging
U2-rPCA unfolds IRLS rPCA into an unsupervised network with a sparse-enhancement unit that is trained on part of an ultrasound sequence and applied to subsequent frames, showing CNR gains of 1.91-8.48 dB over SVD, rPCA, and supervised deep filters on in-silico and in-vivo data.