Epistemic Uncertainty

Joint image estimation and uncertainty quantification with R2D2 on Cygnus A VLA data

Towards a robust R2D2 paradigm for radio-interferometric imaging: revisiting DNN training and architecture

This paper adds the functionality of modelling epistemic uncertainty, introduces the novel DNN architecture, U-WDSR, and increases the robustness in R2D2 image reconstruction.

R2D2 image reconstruction with model uncertainty quantification in radio astronomy

This paper adds the functionality of modelling epistemic uncertainty in R2D2 image reconstruction.

Scalable Non-Cartesian Magnetic Resonance Imaging with R2D2

This paper brings the development of R2D2 to the field of medical imaging, specifically for magnetic resonance imaging with non-Cartesian sampling.