20 citations · 91 across the 18 of their papers we have counts for
3 papers · 1 filter
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…
Towards retrospective motion correction and reconstruction for clinical 3D brain MRI protocols with a reference contrast
Gabrio Rizzuti, Tim Schakel, Niek R. F. Huttinga +3
Motion artifacts often spoil the radiological interpretation of MR images, and in the most severe cases the scan needs be repeated, with additional costs for the provider. We discu…
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…