Biblio
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Author Title Type [ Year] Filters: Keyword is medical imaging and Author is Ali Siahkoohi [Clear All Filters]
“Adjoint operators enable fast and amortized machine learning based Bayesian uncertainty quantification”, in SPIE Medical Imaging Conference, 2023.
, “Amortized normalizing flows for transcranial ultrasound with uncertainty quantification”, in Medical Imaging with Deep Learning, 2023.
, “Adjoint operators as summary functions in amortized Bayesian inference frameworks”, ML4SEISMIC Partners Meeting. 2022.
, “Learned wave-based imaging - variational inference at scale”, in Delft, 2021.
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