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S. Penninga

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#machine learning Preprint Oct 2026

Deep Bayesian REFoCUS

In this work we formulate ultrasound multistatic recovery from arbitrary transmit sequences as a Bayesian inference problem. To that end, we train a deep generative prior on multistatic data sets to tackle the rank-deficient regime in which classical linear REFoCUS decoders fail. This appproach, which we term Deep Baye...

S. Penninga, R. V. van Sloun · 1 citation