DPS jointly learns a probabilistic sub-sampling pattern and a neural reconstruction network, producing task-specific sparse sampling schemes for partial Fourier and ultrasound data.
Compressed sensing based cone- beam computed tomography reconstruction with a first-order method
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Learning Sub-Sampling and Signal Recovery with Applications in Ultrasound Imaging
DPS jointly learns a probabilistic sub-sampling pattern and a neural reconstruction network, producing task-specific sparse sampling schemes for partial Fourier and ultrasound data.