activity
20192022
most citedAttenuation Coefficient Estimation for PET/MRI With Bayesian Deep Learning pseudo-CT and Maximum Likelihood Estimation of Activity and Attenuation

11 citations · 28 across the 5 of their papers we have counts for

collaborators
Showing eess.IVShow all

2 papers · 1 filter

eess.IV2022★ 2 cited

Physics-driven Deep Learning for PET/MRI

Abhejit Rajagopal, Andrew P. Leynes, Nicholas Dwork +3

In this paper, we review physics- and data-driven reconstruction techniques for simultaneous positron emission tomography (PET) / magnetic resonance imaging (MRI) systems, which ha…

eess.IV2022★ 10 cited

Scan-specific Self-supervised Bayesian Deep Non-linear Inversion for Undersampled MRI Reconstruction

Andrew P. Leynes, Nikhil Deveshwar, Srikantan S. Nagarajan +1

Magnetic resonance imaging is subject to slow acquisition times due to the inherent limitations in data sampling. Recently, supervised deep learning has emerged as a promising tech…