R2D2: Deep neural network series for near real-time high-dynamic range imaging in radio astronomy. - Amir Aghabiglou; Chung San Chu; Adrian Jackson; Arwa Dabbech; Yves Wiaux (CoRR, 2023)

R2D2 Image Reconstruction with Model Uncertainty Quantification in Radio Astronomy. - Amir Aghabiglou; Chung San Chu; Arwa Dabbech; Yves Wiaux (EUSIPCO, 2024)

Scalable Non-Cartesian Magnetic Resonance Imaging with R2D2. - Yiwei Chen; Chao Tang; Amir Aghabiglou; Chung San Chu; Yves Wiaux (EUSIPCO, 2024)

The R2D2 deep neural network series paradigm for fast precision imaging in radio astronomy. - Amir Aghabiglou; Chung San Chu; Arwa Dabbech; Yves Wiaux (CoRR, 2024)

Towards a robust R2D2 paradigm for radio-interferometric imaging: revisiting DNN training and architecture. - Amir Aghabiglou; Chung San Chu; Chao Tang; Arwa Dabbech; Yves Wiaux (CoRR, 2025)