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eess.IV2023★ 4 cited
Amortized Normalizing Flows for Transcranial Ultrasound with Uncertainty Quantification
Rafael Orozco, Mathias Louboutin, Ali Siahkoohi +3
We present a novel approach to transcranial ultrasound computed tomography that utilizes normalizing flows to improve the speed of imaging and provide Bayesian uncertainty quantifi…
eess.IV2019★ 13 cited
Learned imaging with constraints and uncertainty quantification
Felix J. Herrmann, Ali Siahkoohi, Gabrio Rizzuti
We outline new approaches to incorporate ideas from deep learning into wave-based least-squares imaging. The aim, and main contribution of this work, is the combination of handcraf…