11 citations · 25 across the 4 of their papers we have counts for
4 papers
Mixed Supervision of Histopathology Improves Prostate Cancer Classification from MRI
Abhejit Rajagopal, Antonio C. Westphalen, Nathan Velarde +6
Non-invasive prostate cancer detection from MRI has the potential to revolutionize patient care by providing early detection of clinically-significant disease (ISUP grade group >=…
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…
Attenuation Coefficient Estimation for PET/MRI With Bayesian Deep Learning pseudo-CT and Maximum Likelihood Estimation of Activity and Attenuation
Andrew P. Leynes, Sangtae P. Ahn, Kristen A. Wangerin +4
A major remaining challenge for magnetic resonance-based attenuation correction methods (MRAC) is their susceptibility to sources of MRI artifacts (e.g. implants, motion) and uncer…
Bone Material Analogues for PET/MRI Phantoms
Dharshan Chandramohan, Peng Cao, Misung Han +6
Purpose: To develop bone material analogues that can be used in construction of phantoms for simultaneous PET/MRI systems. Methods: Plaster was used as the basis for the bone mater…